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2020-08-03
Li, Guanyu, Zhang, Menghao, Liu, Chang, Kong, Xiao, Chen, Ang, Gu, Guofei, Duan, Haixin.  2019.  NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering. 2019 IEEE 27th International Conference on Network Protocols (ICNP). :1–12.
In this paper, we design NETHCF, a line-rate in-network system for filtering spoofed traffic. NETHCF leverages the opportunity provided by programmable switches to design a novel defense against spoofed IP traffic, and it is highly efficient and adaptive. One key challenge stems from the restrictions of the computational model and memory resources of programmable switches. We address this by decomposing the HCF system into two complementary components-one component for the data plane and another for the control plane. We also aggregate the IP-to-Hop-Count (IP2HC) mapping table for efficient memory usage, and design adaptive mechanisms to handle end-to-end routing changes, IP popularity changes, and network activity dynamics. We have built a prototype on a hardware Tofino switch, and our evaluation demonstrates that NETHCF can achieve line-rate and adaptive traffic filtering with low overheads.
2020-06-01
Kapoor, Chavi.  2019.  Routing Table Management using Dynamic Information with Routing Around Connectivity Holes (RACH) for IoT Networks. 2019 International Conference on Automation, Computational and Technology Management (ICACTM). :174—177.

The internet of things (IoT) is the popular wireless network for data collection applications. The IoT networks are deployed in dense or sparse architectures, out of which the dense networks are vastly popular as these are capable of gathering the huge volumes of data. The collected data is analyzed using the historical or continuous analytical systems, which uses the back testing or time-series analytics to observe the desired patterns from the target data. The lost or bad interval data always carries the high probability to misguide the analysis reports. The data is lost due to a variety of reasons, out of which the most popular ones are associated with the node failures and connectivity holes, which occurs due to physical damage, software malfunctioning, blackhole/wormhole attacks, route poisoning, etc. In this paper, the work is carried on the new routing scheme for the IoTs to avoid the connectivity holes, which analyzes the activity of wireless nodes and takes the appropriate actions when required.

2020-05-29
Tseng, Yi-Fan, Fan, Chun-I, Wu, Chin-Yu.  2019.  FGAC-NDN: Fine-Grained Access Control for Named Data Networks. IEEE Transactions on Network and Service Management. 16:143—152.

Named data network (NDN) is one of the most promising information-centric networking architectures, where the core concept is to focus on the named data (or contents) themselves. Users in NDN can easily send a request packet to get the desired content regardless of its address. The routers in NDN have cache functionality to make the users instantly retrieve the desired file. Thus, the user can immediately get the desired file from the nearby nodes instead of the remote host. Nevertheless, NDN is a novel proposal and there are still some open issues to be resolved. In view of previous research, it is a challenge to achieve access control on a specific user and support potential receivers simultaneously. In order to solve it, we present a fine-grained access control mechanism tailored for NDN, supporting data confidentiality, potential receivers, and mobility. Compared to previous works, this is the first to support fine-grained access control and potential receivers. Furthermore, the proposed scheme achieves provable security under the DBDH assumption.

Sattar, Muhammad Umar, Rehman, Rana Asif.  2019.  Interest Flooding Attack Mitigation in Named Data Networking Based VANETs. 2019 International Conference on Frontiers of Information Technology (FIT). :245—2454.

Nowadays network applications have more focus on content distribution which is hard to tackle in IP based Internet. Information Centric Network (ICN) have the ability to overcome this problem for various scenarios, specifically for Vehicular Ad Hoc Networks (VANETs). Conventional IP based system have issues like mobility management hence ICN solve this issue because data fetching is not dependent on a particular node or physical location. Many initial investigations have performed on an instance of ICN commonly known as Named Data Networking (NDN). However, NDN exposes the new type of security susceptibilities, poisoning cache attack, flooding Interest attack, and violation of privacy because the content in the network is called by the name. This paper focused on mitigation of Interest flooding attack by proposing new scheme, named Interest Flooding Attack Mitigation Scheme (IFAMS) in Vehicular Named Data Network (VNDN). Simulation results depict that proposed IFAMS scheme mitigates the Interest flooding attack in the network.

2020-05-26
Chatterjee, Tanusree, Ruj, Sushmita, DasBit, Sipra.  2018.  Data forwarding and update propagation in grid network for NDN: A low-overhead approach. 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). :1–6.
Now-a-days Internet has become mostly content centric. Named Data Network (NDN) has emerged as a promising candidate to cope with the use of today's Internet. Several NDN features such as in-network caching, easier data forwarding, etc. in the routing method bring potential advantages over conventional networks. Despite the advantages, there are many challenges in NDN which are yet to be addressed. In this paper, we address two of such challenges in NDN routing: (1) Huge storage overhead in NDN router (2) High communication over-heads in the network during propagation of routing information updates. We propose changes in existing NDN routing with the aim to provide a low-overhead solution to these problems. Here instead of storing the Link State Data Base (LSDB) in all the routers, it is kept in selected special nodes only. The use of special nodes lowers down the overall storage and update overheads. We also provide supporting algorithms for data forwarding and update for grid network. The performance of the proposed method is evaluated in terms of storage and communication overheads. The results show the overheads are reduced by almost one third as compared to the existing routing method in NDN.
Alapati, Yaswanth Kumar, Ravichandran, Suban.  2019.  Efficient Route Identification Method for Secure Packets Transfer in MANET. 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). :467–471.
Mobile Ad hoc Network (MANET) routing is basic and route selection ought to be made faster before the node leaves the system. MANET routing Methods are intended to work in a friendly and satisfying condition which makes them helpless against different attacks. MANET is one of the most encouraging fields for innovative work of remote system. MANET has now turned out to be one of the most lively and dynamic field of communication among systems. A MANET is a self-sufficient gathering of mobile nodes that speak with one another over remote connections and coordinate in an appropriated way so as to give the fundamental system convenience without a fixed framework. MANET has transfer speed limitations yet it permits self-ruling communication of versatile clients over it. Because of regular node mobility, and along these lines change in route topology, the architecture of the system goes unpredicted after some time. In such a decentralized situation, secured route identification is a key task for communication among nodes. Trust calculation among nodes is done for involving trusted nodes in route discovery process. In this manuscript, a novel secure routing method is proposed which identifies route among trusted nodes and update the routing table info frequently because of dynamic topology of the network. The outcomes demonstrate that the proposed method takes better routing technique when compared with existing methods.
Kumari, Alpana, Krishnan, Shoba.  2019.  Analysis of Malicious Behavior of Blackhole and Rushing Attack in MANET. 2019 International Conference on Nascent Technologies in Engineering (ICNTE). :1–6.

Mobile Adhoc Network (MANET) are the networks where network nodes uses wireless links to transfer information from one node to another without making use of existing infrastructure. There is no node in the network to control and coordinate establishment of connections between the network nodes. Hence the network nodes performs dual function of both node as well as router. Due to dynamically changing network scenarios, absence of centralization and lack of resources, MANETs have a threat of large number of security attacks. Hence security attacks need to be evaluated in order to find effective methods to avoid or remove them. In this paper malicious behavior of Blackhole attack and Rushing attack is studied and analyzed for QoS metrics.

2020-05-15
Ravikumar, C.P., Swamy, S. Kendaganna, Uma, B.V..  2019.  A hierarchical approach to self-test, fault-tolerance and routing security in a Network-on-Chip. 2019 IEEE International Test Conference India (ITC India). :1—6.
Since the performance of bus interconnects does not scale with the number of processors connected to the bus, chip multiprocessors make use of on-chip networks that implement packet switching and virtual channel flow control to efficiently transport data. In this paper, we consider the test and fault-tolerance aspects of such a network-on-chip (NoC). Past work in this area has addressed the communication efficiency and deadlock-free properties in NoC, but when routing externally received data, aspects of security must be addressed. A malicious denial-of-service attack or a power virus can be launched by a malicious external agent. We propose a two-tier solution to this problem, where a local self-test manager in each processing element runs test algorithms to detect faults in local processing element and its associated physical and virtual channels. At the global level, the health of the NoC is tested using a sorting-based algorithm proposed in this paper. Similarly, we propose to handle fault-tolerance and security concerns in routing at two levels. At the local level, each node is capable of fault-tolerant routing by deflecting packets to an alternate path; when doing so, since a chance of deadlock may be created, the local router must be capable of guestimating a deadlock situation, switch to packet-switching instead of flit-switching and attempt to reroute the packet. At the global level, a routing agent plays the role of gathering fault data and provide the fault-information to nodes that seek this information periodically. Similarly, the agent is capable of detecting malformed packets coming from an external source and prevent injecting such packets into the network, thereby conserving the network bandwidth. The agent also attempts to guess attempts at denial-of-service attacks and power viruses and will reject packets. Use of a two-tier approach helps in keeping the IP modular and reduces their complexity, thereby making them easier to verify.
2020-05-11
Vashist, Abhishek, Keats, Andrew, Pudukotai Dinakarrao, Sai Manoj, Ganguly, Amlan.  2019.  Securing a Wireless Network-on-Chip Against Jamming Based Denial-of-Service Attacks. 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). :320–325.
Wireless Networks-on-Chips (NoCs) have emerged as a panacea to the non-scalable multi-hop data transmission paths in traditional wired NoC architectures. Using low-power transceivers in NoC switches, novel Wireless NoC (WiNoC) architectures have been shown to achieve higher energy efficiency with improved peak bandwidth and reduced on-chip data transfer latency. However, using wireless interconnects for data transfer within a chip makes the on-chip communications vulnerable to various security threats from either external attackers or internal hardware Trojans (HTs). In this work, we propose a mechanism to make the wireless communication in a WiNoC secure against persistent jamming based Denial-of-Service attacks from both external and internal attackers. Persistent jamming attacks on the on-chip wireless medium will cause interference in data transfer over the duration of the attack resulting in errors in contiguous bits, known as burst errors. Therefore, we use a burst error correction code to monitor the rate of burst errors received over the wireless medium and deploy a Machine Learning (ML) classifier to detect the persistent jamming attack and distinguish it from random burst errors. In the event of jamming attack, alternate routing strategies are proposed to avoid the DoS attack over the wireless medium, so that a secure data transfer can be sustained even in the presence of jamming. We evaluate the proposed technique on a secure WiNoC in the presence of DoS attacks. It has been observed that with the proposed defense mechanisms, WiNoC can outperform a wired NoC even in presence of attacks in terms of performance and security. On an average, 99.87% attack detection was achieved with the chosen ML Classifiers. A bandwidth degradation of \textbackslashtextless;3% is experienced in the event of internal attack, while the wireless interconnects are disabled in the presence of an external attacker.
2020-04-13
Papachristou, Konstantinos, Theodorou, Traianos, Papadopoulos, Stavros, Protogerou, Aikaterini, Drosou, Anastasios, Tzovaras, Dimitrios.  2019.  Runtime and Routing Security Policy Verification for Enhanced Quality of Service of IoT Networks. 2019 Global IoT Summit (GIoTS). :1–6.
The Internet of Things (IoT) is growing rapidly controlling and connecting thousands of devices every day. The increased number of interconnected devices increase the network traffic leading to energy and Quality of Service efficiency problems of the IoT network. Therefore, IoT platforms and networks are susceptible to failures and attacks that have significant economic and security consequences. In this regard, implementing effective secure IoT platforms and networks are valuable for both the industry and society. In this paper, we propose two frameworks that aim to verify a number of security policies related to runtime information of the network and dynamic flow routing paths, respectively. The underlying rationale is to allow the operator of an IoT network in order to have an overall control of the network and to define different policies based on the demands of the network and the use cases (e.g., achieving more secure or faster network).
2020-04-06
Hu, Xiaoyan, Zheng, Shaoqi, Zhao, Lixia, Cheng, Guang, Gong, Jian.  2019.  Exploration and Exploitation of Off-path Cached Content in Network Coding Enabled Named Data Networking. 2019 IEEE 27th International Conference on Network Protocols (ICNP). :1—6.

Named Data Networking (NDN) intrinsically supports in-network caching and multipath forwarding. The two salient features offer the potential to simultaneously transmit content segments that comprise the requested content from original content publishers and in-network caches. However, due to the complexity of maintaining the reachability information of off-path cached content at the fine-grained packet level of granularity, the multipath forwarding and off-path cached copies are significantly underutilized in NDN so far. Network coding enabled NDN, referred to as NC-NDN, was proposed to effectively utilize multiple on-path routes to transmit content, but off-path cached copies are still unexploited. This work enhances NC-NDN with an On-demand Off-path Cache Exploration based Multipath Forwarding strategy, dubbed as O2CEMF, to take full advantage of the multipath forwarding to efficiently utilize off-path cached content. In O2CEMF, each network node reactively explores the reachability information of nearby off-path cached content when consumers begin to request a generation of content, and maintains the reachability at the coarse-grained generation level of granularity instead. Then the consumers simultaneously retrieve content from the original content publisher(s) and the explored capable off-path caches. Our experimental studies validate that this strategy improves the content delivery performance efficiently as compared to that in the present NC-NDN.

Gelil, Walid Abdel, Kunz, Thomas.  2019.  A Hierarchical P2P Overlay for Hierarchical Mobile Ad hoc Networks (MANETs). 2019 IEEE 10th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON). :0640–0646.
P2P applications deployment on MANETs is motivated by the popularity of these applications, coupled with the widespread use of mobile devices. P2P applications and MANETs have common features such as decentralization, self organization, and the absence of dedicated servers or infrastructure. The deployment often faces specific performance challenges resulting from topological overlay and underlay mismatch, limited bandwidth constraint and dynamic topology changes. Hierarchical MANETs are a special type of MANETs where some nodes have specific routing roles to allow inter- cluster communications. Such topologies (typical for tactical networks) render a successful P2P deployment more challenging. We developed a novel approach for P2P deployment in such networks by bringing topology-awareness into the overlay, mapping the underlay topology (structure) to the logical overlay and building a hierarchically-structured logical overlay on top of the hierarchical underlay. Simulation results demonstrated a significant performance advantage of our proposed deployment solution vs. a flat logical overlay using different configurations and mobility scenarios.
2020-03-23
Li, Min, Tang, Helen, Wang, Xianbin.  2019.  Mitigating Routing Misbehavior using Blockchain-Based Distributed Reputation Management System for IoT Networks. 2019 IEEE International Conference on Communications Workshops (ICC Workshops). :1–6.
With the rapid proliferation of Internet of Thing (IoT) devices, many security challenges could be introduced at low-end routers. Misbehaving routers affect the availability of the networks by dropping packets selectively and rejecting data forwarding services. Although existing Reputation Management (RM) systems are useful in identifying misbehaving routers, the centralized nature of the RM center has the risk of one-point failure. The emerging blockchain techniques, with the inherent decentralized consensus mechanism, provide a promising method to reduce this one-point failure risk. By adopting the distributed consensus mechanism, we propose a blockchain-based reputation management system in IoT networks to overcome the limitation of centralized router RM systems. The proposed solution utilizes the blockchain technique as a decentralized database to store router reports for calculating reputation of each router. With the proposed reputation calculation mechanism, the reliability of each router would be evaluated, and the malicious misbehaving routers with low reputations will be blacklisted and get isolated. More importantly, we develop an optimized group mining process for blockchain technique in order to improve the efficiency of block generation and reduce the resource consumption. The simulation results validate the distributed blockchain-based RM system in terms of attacks detection and system convergence performance, and the comparison result of the proposed group mining process with existing blockchain models illustrates the applicability and feasibility of the proposed works.
Triantopoulou, Stamatia, Papanikas, Dimitrios, Kotzanikolaou, Panayiotis.  2019.  An Experimental Analysis of Current DDoS attacks Based on a Provider Edge Router Honeynet. 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA). :1–5.
This paper presents an experimental analysis of current Distributed Denial of Service attacks. Our analysis is based on real data collected by a honeynet system that was installed on an ISP edge router, for a four-month period. In the examined scenario, we identify and analyze malicious activities based on packets captured and analyzed by a network protocol sniffer and signature-based attack analysis tools. Our analysis shows that IoT-based DDoS attacks are one of the latest and most proliferating attack trends in network security. Based on the analysis of the attacks, we describe some mitigation techniques that can be applied at the providers' network to mitigate the trending attack vectors.
Daoud, Luka, Rafla, Nader.  2019.  Analysis of Black Hole Router Attack in Network-on-Chip. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS). :69–72.

Network-on-Chip (NoC) is the communication platform of the data among the processing cores in Multiprocessors System-on-Chip (MPSoC). NoC has become a target to security attacks and by outsourcing design, it can be infected with a malicious Hardware Trojan (HT) to degrades the system performance or leaves a back door for sensitive information leaking. In this paper, we proposed a HT model that applies a denial of service attack by deliberately discarding the data packets that are passing through the infected node creating a black hole in the NoC. It is known as Black Hole Router (BHR) attack. We studied the effect of the BHR attack on the NoC. The power and area overhead of the BHR are analyzed. We studied the effect of the locations of BHRs and their distribution in the network as well. The malicious nodes has very small area and power overhead, 1.98% and 0.74% respectively, with a very strong violent attack.

2020-03-12
Dogruluk, Ertugrul, Costa, Antonio, Macedo, Joaquim.  2019.  A Detection and Defense Approach for Content Privacy in Named Data Network. 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :1–5.

The Named Data Network (NDN) is a promising network paradigm for content distribution based on caching. However, it may put consumer privacy at risk, as the adversary may identify the content, the name and the signature (namely a certificate) through side-channel timing responses from the cache of the routers. The adversary may identify the content name and the consumer node by distinguishing between cached and un- cached contents. In order to mitigate the timing attack, effective countermeasure methods have been proposed by other authors, such as random caching, random freshness, and probabilistic caching. In this work, we have implemented a timing attack scenario to evaluate the efficiency of these countermeasures and to demonstrate how the adversary can be detected. For this goal, a brute force timing attack scenario based on a real topology was developed, which is the first brute force attack model applied in NDN. Results show that the adversary nodes can be effectively distinguished from other legitimate consumers during the attack period. It is also proposed a multi-level mechanism to detect an adversary node. Through this approach, the content distribution performance can be mitigated against the attack.

2020-03-09
Perner, Cora, Kinkelin, Holger, Carle, Georg.  2019.  Adaptive Network Management for Safety-Critical Systems. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). :25–30.
Present networks within safety-critical systems rely on complex and inflexible network configurations. New technologies such as software-defined networking are more dynamic and offer more flexibility, but due care needs to be exercised to ensure that safety and security are not compromised by incorrect configurations. To this end, this paper proposes the use of pre-generated and optimized configuration templates. These provide alternate routes for traffic considering availability, resilience and timing constraints where network components fail due to attacks or faults.To obtain these templates, two heuristics based on Dijkstra's algorithm and an optimization algorithm providing the maximum resilience were investigated. While the configurations obtained through optimization yield appropriate templates, the heuristics investigated are not suitable to obtain configuration templates, since they cannot fulfill all requirements.
2020-03-02
Tootaghaj, Diman Zad, La Porta, Thomas, He, Ting.  2019.  Modeling, Monitoring and Scheduling Techniques for Network Recovery from Massive Failures. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). :695–700.

Large-scale failures in communication networks due to natural disasters or malicious attacks can severely affect critical communications and threaten lives of people in the affected area. In the absence of a proper communication infrastructure, rescue operation becomes extremely difficult. Progressive and timely network recovery is, therefore, a key to minimizing losses and facilitating rescue missions. To this end, we focus on network recovery assuming partial and uncertain knowledge of the failure locations. We proposed a progressive multi-stage recovery approach that uses the incomplete knowledge of failure to find a feasible recovery schedule. Next, we focused on failure recovery of multiple interconnected networks. In particular, we focused on the interaction between a power grid and a communication network. Then, we focused on network monitoring techniques that can be used for diagnosing the performance of individual links for localizing soft failures (e.g. highly congested links) in a communication network. We studied the optimal selection of the monitoring paths to balance identifiability and probing cost. Finally, we addressed, a minimum disruptive routing framework in software defined networks. Extensive experimental and simulation results show that our proposed recovery approaches have a lower disruption cost compared to the state-of-the-art while we can configure our choice of trade-off between the identifiability, execution time, the repair/probing cost, congestion and the demand loss.

2020-02-26
Itakura, Keisuke, Mori, Yojiro, Hasegawa, Hiroshi, Sato, Ken-ichi.  2019.  Design of and Resiliency Enhancement in Coarse/Fine Hybrid Granular Routing Optical Networks Based on Iterative Path-Pair-Loop Inflation. 2019 15th International Conference on the Design of Reliable Communication Networks (DRCN). :11–15.

A spectral-resource-utilization-efficient and highly resilient coarse granular routing optical network architecture is proposed. The improvement in network resiliency is realized by a novel concept named loop inflation that aims to enhance the geographical diversity of a working path and its redundant path. The trade-off between the inflation and the growth in circumference length of loops is controlled by the Simulated Annealing technique. Coarse granular routing is combined with resilient path design to realize higher spectral resource utilization. The routing scheme defines virtual direct links (VDLs) bridging distant nodes to alleviate the spectrum narrowing effect at the nodes traversed, allowing optical channels to be more densely accommodated by the fibers installed. Numerical experiments elucidate that the proposed networks successfully achieve a 30+0/0 route diversity improvement and a 12% fiber number reduction over conventional networks.

Saad, Muhammad, Anwar, Afsah, Ahmad, Ashar, Alasmary, Hisham, Yuksel, Murat, Mohaisen, Aziz.  2019.  RouteChain: Towards Blockchain-Based Secure and Efficient BGP Routing. 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). :210–218.

Routing on the Internet is defined among autonomous systems (ASes) based on a weak trust model where it is assumed that ASes are honest. While this trust model strengthens the connectivity among ASes, it results in an attack surface which is exploited by malicious entities to hijacking routing paths. One such attack is known as the BGP prefix hijacking, in which a malicious AS broadcasts IP prefixes that belong to a target AS, thereby hijacking its traffic. In this paper, we proposeRouteChain: a blockchain-based secure BGP routing system that counters BGP hijacking and maintains a consistent view of the Internet routing paths. Towards that, we leverage provenance assurance and tamper-proof properties of blockchains to augment trust among ASes. We group ASes based on their geographical (network) proximity and construct a bihierarchical blockchain model that detects false prefixes prior to their spread over the Internet. We validate strengths of our design by simulations and show its effectiveness by drawing a case study with the Youtube hijacking of 2008. Our proposed scheme is a standalone service that can be incrementally deployed without the need of a central authority.

Nowak, Mateusz, Nowak, Sławomir, Domańska, Joanna.  2019.  Cognitive Routing for Improvement of IoT Security. 2019 IEEE International Conference on Fog Computing (ICFC). :41–46.

Internet of Things is nowadays growing faster than ever before. Operators are planning or already creating dedicated networks for this type of devices. There is a need to create dedicated solutions for this type of network, especially solutions related to information security. In this article we present a mechanism of security-aware routing, which takes into account the evaluation of trust in devices and packet flows. We use trust relationships between flows and network nodes to create secure SDN paths, not ignoring also QoS and energy criteria. The system uses SDN infrastructure, enriched with Cognitive Packet Networks (CPN) mechanisms. Routing decisions are made by Random Neural Networks, trained with data fetched with Cognitive Packets. The proposed network architecture, implementing the security-by-design concept, was designed and is being implemented within the SerIoT project to demonstrate secure networks for the Internet of Things (IoT).

Thulasiraman, Preetha, Wang, Yizhong.  2019.  A Lightweight Trust-Based Security Architecture for RPL in Mobile IoT Networks. 2019 16th IEEE Annual Consumer Communications Networking Conference (CCNC). :1–6.

Military communities have come to rely heavily on commercial off the shelf (COTS) standards and technologies for Internet of Things (IoT) operations. One of the major obstacles to military use of COTS IoT devices is the security of data transfer. In this paper, we successfully design and develop a lightweight, trust-based security architecture to support routing in a mobile IoT network. Specifically, we modify the RPL IoT routing algorithm using common security techniques, including a nonce identity value, timestamp, and network whitelist. Our approach allows RPL to select a routing path over a mobile IoT wireless network based on a computed node trust value and average received signal strength indicator (ARSSI) value across network members. We conducted simulations using the Cooja network simulator and Wireshark to validate the algorithm against stipulated threat models. We demonstrate that our algorithm can protect the network against Denial of Service (DoS) and Sybil based identity attacks. We also show that the control overhead required for our algorithm is less than 5% and that the packet delivery rate improves by nearly 10%.

Dhanya, K., Jeyalakshmi, C., Balakumar, A..  2019.  A Secure Autonomic Mobile Ad-Hoc Network Based Trusted Routing Proposal. 2019 International Conference on Computer Communication and Informatics (ICCCI). :1–6.

This research proposes an inspection on Trust Based Routing protocols to protect Internet of Things directing to authorize dependability and privacy amid to direction-finding procedure in inaccessible systems. There are number of Internet of Things (IOT) gadgets are interrelated all inclusive, the main issue is the means by which to protect the routing of information in the important systems from different types of stabbings. Clients won't feel secure on the off chance that they know their private evidence could without much of a stretch be gotten to and traded off by unapproved people or machines over the system. Trust is an imperative part of Internet of Things (IOT). It empowers elements to adapt to vulnerability and roughness caused by the through and through freedom of other devices. In Mobile Ad-hoc Network (MANET) host moves frequently in any bearing, so that the topology of the network also changes frequently. No specific algorithm is used for routing the packets. Packets/data must be routed by intermediate nodes. It is procumbent to different occurrences ease. There are various approaches to compute trust for a node such as fuzzy trust approach, trust administration approach, hybrid approach, etc. Adaptive Information Dissemination (AID) is a mechanism which ensures the packets in a specific transmission and it analysis of is there any attacks by hackers.It encompasses of ensuring the packet count and route detection between source and destination with trusted path.Trust estimation dependent on the specific condition or setting of a hub, by sharing the setting information onto alternate hubs in the framework would give a superior answer for this issue.Here we present a survey on various trust organization approaches in MANETs. We bring out instantaneous of these approaches for establishing trust of the partaking hubs in a dynamic and unverifiable MANET atmosphere.

2020-02-18
Das, Debayan, Nath, Mayukh, Chatterjee, Baibhab, Ghosh, Santosh, Sen, Shreyas.  2019.  S℡LAR: A Generic EM Side-Channel Attack Protection through Ground-Up Root-Cause Analysis. 2019 IEEE International Symposium on Hardware Oriented Security and Trust (HOST). :11–20.
The threat of side-channels is becoming increasingly prominent for resource-constrained internet-connected devices. While numerous power side-channel countermeasures have been proposed, a promising approach to protect the non-invasive electromagnetic side-channel attacks has been relatively scarce. Today's availability of high-resolution electromagnetic (EM) probes mandates the need for a low-overhead solution to protect EM side-channel analysis (SCA) attacks. This work, for the first time, performs a white-box analysis to root-cause the origin of the EM leakage from an integrated circuit. System-level EM simulations with Intel 32 nm CMOS technology interconnect stack, as an example, reveals that the EM leakage from metals above layer 8 can be detected by an external non-invasive attacker with the commercially available state-of-the-art EM probes. Equipped with this `white-box' understanding, this work proposes S℡LAR: Signature aTtenuation Embedded CRYPTO with Low-Level metAl Routing, which is a two-stage solution to eliminate the critical signal radiation from the higher-level metal layers. Firstly, we propose routing the entire cryptographic core within the local lower-level metal layers, whose leakage cannot be picked up by an external attacker. Then, the entire crypto IP is embedded within a Signature Attenuation Hardware (SAH) which in turn suppresses the critical encryption signature before it routes the current signature to the highly radiating top-level metal layers. System-level implementation of the S℡LAR hardware with local lower-level metal routing in TSMC 65 nm CMOS technology, with an AES-128 encryption engine (as an example cryptographic block) operating at 40 MHz, shows that the system remains secure against EM SCA attack even after 1M encryptions, with 67% energy efficiency and 1.23× area overhead compared to the unprotected AES.
2020-02-17
Marchang, Jims, Ibbotson, Gregg, Wheway, Paul.  2019.  Will Blockchain Technology Become a Reality in Sensor Networks? 2019 Wireless Days (WD). :1–4.
The need for sensors to deliver, communicate, collect, alert, and share information in various applications has made wireless sensor networks very popular. However, due to its limited resources in terms of computation power, battery life and memory storage of the sensor nodes, it is challenging to add security features to provide the confidentiality, integrity, and availability. Blockchain technology ensures security and avoids the need of any trusted third party. However, applying Blockchain in a resource-constrained wireless sensor network is a challenging task because Blockchain is power, computation, and memory hungry in nature and demands heavy bandwidth due to control overheads. In this paper, a new routing and a private communication Blockchain framework is designed and tested with Constant Bit rate (CBR). The proposed Load Balancing Multi-Hop (LBMH) routing shares and enhances the battery life of the Cluster Heads and reduce control overhead during Block updates, but due to limited storage and energy of the sensor nodes, Blockchain in sensor networks may never become a reality unless computation, storage and battery life are readily available at low cost.