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Guleria, Charu, Verma, Harsh Kumar.  2018.  Improved Detection and Mitigation of DDoS Attack in Vehicular ad hoc Network. 2018 4th International Conference on Computing Communication and Automation (ICCCA). :1–4.
Vehicular ad hoc networks (VANETs) are eminent type of Mobile ad hoc Networks. The network created in VANETs is quite prone to security problem. In this work, a new mechanism is proposed to study the security of VANETs against DDoS attack. The proposed mechanism focuses on distributed denial of service attacks. The main idea of the paper is to detect the DDoS attack and mitigate it. The work consists of two stages, initially attack topology and network congestion is created. The second stage is to detect and mitigate the DDoS attack. The existing method is compared with the proposed method for mitigating DDoS attacks in VANETs. The existing solutions presented by the various researchers are also compared and analyzed. The solution for such kind of problem is provided which is used to detect and mitigate DDoS attack by using greedy approach. The network environment is created using NS-2. The results of simulation represent that the proposed approach is better in the terms of network packet loss, routing overhead and network throughput.
Serror, Martin, Henze, Martin, Hack, Sacha, Schuba, Marko, Wehrle, Klaus.  2018.  Towards In-Network Security for Smart Homes. Proceedings of the 13th International Conference on Availability, Reliability and Security. :18:1-18:8.

The proliferation of the Internet of Things (IoT) in the context of smart homes entails new security risks threatening the privacy and safety of end users. In this paper, we explore the design space of in-network security for smart home networks, which automatically complements existing security mechanisms with a rule-based approach, i. e., every IoT device provides a specification of the required communication to fulfill the desired services. In our approach, the home router as the central network component then enforces these communication rules with traffic filtering and anomaly detection to dynamically react to threats. We show that in-network security can be easily integrated into smart home networks based on existing approaches and thus provides additional protection for heterogeneous IoT devices and protocols. Furthermore, in-network security relieves users of difficult home network configurations, since it automatically adapts to the connected devices and services.

Jánský, Tomáš, Čejka, Tomáš, Žádník, Martin, Bartoš, Václav.  2018.  Augmented DDoS Mitigation with Reputation Scores. Proceedings of the 13th International Conference on Availability, Reliability and Security. :54:1–54:7.

Network attacks, especially DoS and DDoS attacks, are a significant threat for all providers of services or infrastructure. The biggest attacks can paralyze even large-scale infrastructures of worldwide companies. Attack mitigation is a complex issue studied by many researchers and security companies. While several approaches were proposed, there is still space for improvement. This paper proposes to augment existing mitigation heuristic with knowledge of reputation score of network entities. The aim is to find a way to mitigate malicious traffic present in DDoS amplification attacks with minimal disruption to communication of legitimate traffic.

Siboni, Shachar, Shabtai, Asaf, Elovici, Yuval.  2018.  An Attack Scenario and Mitigation Mechanism for Enterprise BYOD Environments. SIGAPP Appl. Comput. Rev.. 18:5–21.

The recent proliferation of the Internet of Things (IoT) technology poses major security and privacy concerns. Specifically, the use of personal IoT devices, such as tablets, smartphones, and even smartwatches, as part of the Bring Your Own Device (BYOD) trend, may result in severe network security breaches in enterprise environments. Such devices increase the attack surface by weakening the digital perimeter of the enterprise network and opening new points of entry for malicious activities. In this paper we demonstrate a novel attack scenario in an enterprise environment by exploiting the smartwatch device of an innocent employee. Using a malicious application running on a suitable smartwatch, the device imitates a real Wi-Fi direct printer service in the network. Using this attack scenario, we illustrate how an advanced attacker located outside of the organization can leak/steal sensitive information from the organization by utilizing the compromised smartwatch as a means of attack. An attack mitigation process and countermeasures are suggested in order to limit the capability of the remote attacker to execute the attack on the network, thus minimizing the data leakage by the smartwatch.

Bhunia, S., Sengupta, S..  2017.  Distributed adaptive beam nulling to mitigate jamming in 3D UAV mesh networks. 2017 International Conference on Computing, Networking and Communications (ICNC). :120–125.

With the advancement of unmanned aerial vehicles (UAV), 3D wireless mesh networks will play a crucial role in next generation mission critical wireless networks. Along with providing coverage over difficult terrain, it provides better spectral utilization through 3D spatial reuse. However, being a wireless network, 3D meshes are vulnerable to jamming/disruptive attacks. A jammer can disrupt the communication, as well as control of the network by intelligently causing interference to a set of nodes. This paper presents a distributed mechanism of avoiding jamming attacks by means of 3D spatial filtering where adaptive beam nulling is used to keep the jammer in null region in order to bypass jamming. Kalman filter based tracking mechanism is used to estimate the most likely trajectory of the jammer from noisy observation of the jammer's position. A beam null border is determined by calculating confidence region of jammer's current and next position estimates. An optimization goal is presented to calculate optimal beam null that minimizes the number of deactivated links while maximizing the higher value of confidence for keeping the jammer inside the null. The survivability of a 3D mesh network with a mobile jammer is studied through simulation that validates an 96.65% reduction in the number of jammed nodes.

Chowdhury, S. K., Sen, M..  2017.  Attacks and mitigation techniques on mobile ad hoc network \#x2014; A survey. 2017 International Conference on Trends in Electronics and Informatics (ICEI). :11–18.

A mobile ad hoc network is a type of ad hoc network in which node changes it locations and configures them. It uses wireless medium to communicate with other networks. It also does not possess centralized authority and each node has the ability to perform some tasks. Nodes in this type of network has a routing table depending on which it finds the optimal way to send packets in forward direction but link failure should be updated in node table to encompass that. In civilian environment like meeting rooms, cab networking etc, in military search and rescue operations it has huge application.

Gurung, S., Chauhan, S..  2017.  A review of black-hole attack mitigation techniques and its drawbacks in Mobile Ad-hoc Network. 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). :2379–2385.

Mobile Ad-hoc Network (MANET) is a prominent technology in the wireless networking field in which the movables nodes operates in distributed manner and collaborates with each other in order to provide the multi-hop communication between the source and destination nodes. Generally, the main assumption considered in the MANET is that each node is trusted node. However, in the real scenario, there are some unreliable nodes which perform black hole attack in which the misbehaving nodes attract all the traffic towards itself by giving false information of having the minimum path towards the destination with a very high destination sequence number and drops all the data packets. In the paper, we have presented different categories for black hole attack mitigation techniques and also presented the summary of various techniques along with its drawbacks that need to be considered while designing an efficient protocol.

Kamel, M. B. M., Alameri, I., Onaizah, A. N..  2017.  STAODV: A secure and trust based approach to mitigate blackhole attack on AODV based MANET. 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :1278–1282.

Mobile ad hoc networks (MANET) is a type of networks that consists of autonomous nodes connecting directly without a top-down network architecture or central controller. Absence of base stations in MANET force the nodes to rely on their adjacent nodes in transmitting messages. The dynamic nature of MANET makes the relationship between nodes untrusted due to mobility of nodes. A malicious node may start denial of service attack at network layer to discard the packets instead of forwarding them to destination which is known as black hole attack. In this paper a secure and trust based approach based on ad hoc on demand distance vector (STAODV) has been proposed to improve the security of AODV routing protocol. The approach isolates the malicious nodes that try to attack the network depending on their previous information. A trust level is attached to each participating node to detect the level of trust of that node. Each incoming packet will be examined to prevent the black hole attack.

Sharma, S..  2017.  A secure reputation based architecture for MANET routing. 2017 4th International Conference on Electronics and Communication Systems (ICECS). :106–110.

Mobile Ad hoc Network has a wide range of applications in military and civilian domains. It is generally assumed that the nodes are trustworthy and cooperative in routing protocols of MANETs viz. AODV, DSR etc. This assumption makes wireless ad hoc network more prone to interception and manipulation which further open possibilities of various types of Denial of Service (DoS) attacks. In order to mitigate the effect of malicious nodes, a reputation based secure routing protocol is proposed in this paper. The basic idea of the proposed scheme is organize the network with 25 nodes which are deployed in a 5×5 grid structure. Each normal node in the network has a specific prime number, which acts as Node identity. A Backbone Network (BBN) is deployed in a 5×5 grid structure. The proposed scheme uses legitimacy value table and reputation level table maintained by backbone network in the network. These tables are used to provide best path selection after avoiding malicious nodes during path discovery. Based on the values collected in their legitimacy table & reputation level table backbone nodes separate and avoid the malicious nodes while making path between source and destination.

Mistry, M., Tandel, P., Reshamwala, V..  2017.  Mitigating techniques of black hole attack in MANET: A review. 2017 International Conference on Trends in Electronics and Informatics (ICEI). :554–557.

A Mobile Ad-hoc Network (MANET) is infrastructure-less network where nodes can move arbitrary in any place without the help of any fixed infrastructure. Due to the vague limit, no centralized administrator, dynamic topology and wireless connections it is powerless against various types of assaults. MANET has more threat contrast to any other conventional networks. AODV (Ad-hoc On-demand Distance Vector) is most utilized well-known routing protocol in MANET. AODV protocol is scared by "Black Hole" attack. A black hole attack is a serious assault that can be effortlessly employed towards AODV protocol. A black hole node that incorrectly replies for each path requests while not having active path to targeted destination and drops all the packets that received from other node. If these malicious nodes cooperate with every other as a set then the harm will be very extreme. In this paper, present review on various existing techniques for detection and mitigation of black hole attacks.

Lahrouni, Youssef, Pereira, Caroly, Bensaber, Boucif Amar, Biskri, Ismaïl.  2017.  Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET. Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access. :17–22.

VANET network is a new technology on which future intelligent transport systems are based; its purpose is to develop the vehicular environment and make it more comfortable. In addition, it provides more safety for drivers and cars on the road. Therefore, we have to make this technology as secured as possible against many threats. As VANET is a subclass of MANET, it has inherited many security problems but with a different architecture and DOS attacks are one of them. In this paper, we have focused on DOS attacks that prevent users to receive the right information at the right moment. We have analyzed DOS attacks behavior and effects on the network using different mathematical models in order to find an efficient solution.

Thuraisingham, B., Kantarcioglu, M., Hamlen, K., Khan, L., Finin, T., Joshi, A., Oates, T., Bertino, E..  2016.  A Data Driven Approach for the Science of Cyber Security: Challenges and Directions. 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI). :1–10.

This paper describes a data driven approach to studying the science of cyber security (SoS). It argues that science is driven by data. It then describes issues and approaches towards the following three aspects: (i) Data Driven Science for Attack Detection and Mitigation, (ii) Foundations for Data Trustworthiness and Policy-based Sharing, and (iii) A Risk-based Approach to Security Metrics. We believe that the three aspects addressed in this paper will form the basis for studying the Science of Cyber Security.

Koning, R., Graaff, B. D., Meijer, R., Laat, C. D., Grosso, P..  2017.  Measuring the effectiveness of SDN mitigations against cyber attacks. 2017 IEEE Conference on Network Softwarization (NetSoft). :1–6.
To address increasing problems caused by cyber attacks, we leverage Software Defined networks and Network Function Virtualisation governed by a SARNET-agent to enable autonomous response and attack mitigation. A Secure Autonomous Response Network (SARNET) uses a control loop to constantly assess the security state of the network by means of observables. Using a prototype we introduce the metrics impact and effectiveness and show how they can be used to compare and evaluate countermeasures. These metrics become building blocks for self learning SARNET which exhibit true autonomous response.
Quan Jia, Huangxin Wang, Fleck, D., Fei Li, Stavrou, A., Powell, W..  2014.  Catch Me If You Can: A Cloud-Enabled DDoS Defense. Dependable Systems and Networks (DSN), 2014 44th Annual IEEE/IFIP International Conference on. :264-275.

We introduce a cloud-enabled defense mechanism for Internet services against network and computational Distributed Denial-of-Service (DDoS) attacks. Our approach performs selective server replication and intelligent client re-assignment, turning victim servers into moving targets for attack isolation. We introduce a novel system architecture that leverages a "shuffling" mechanism to compute the optimal re-assignment strategy for clients on attacked servers, effectively separating benign clients from even sophisticated adversaries that persistently follow the moving targets. We introduce a family of algorithms to optimize the runtime client-to-server re-assignment plans and minimize the number of shuffles to achieve attack mitigation. The proposed shuffling-based moving target mechanism enables effective attack containment using fewer resources than attack dilution strategies using pure server expansion. Our simulations and proof-of-concept prototype using Amazon EC2 [1] demonstrate that we can successfully mitigate large-scale DDoS attacks in a small number of shuffles, each of which incurs a few seconds of user-perceived latency.