Visible to the public Biblio

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2021-06-28
Sharnagat, Lekhchand, Babu, Rajesh, Adhikari, Jayant.  2020.  Trust Evaluation for Securing Compromised data Aggregation against the Collusion Attack in WSN. 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). :1–5.
With a storage space limit on the sensors, WSN has some drawbacks related to bandwidth and computational skills. This limited resources would reduce the amount of data transmitted across the network. For this reason, data aggregation is considered as a new process. Iterative filtration (IF) algorithms, which provide trust assessment to the various sources from which the data aggregation has been performed, are efficient in the present data aggregation algorithms. Trust assessment is done with weights from the simple average method to aggregation, which treats attack susceptibility. Iteration filter algorithms are stronger than the ordinary average, but they do not handle the current advanced attack that takes advantage of false information with many compromise nodes. Iterative filters are strengthened by an initial confidence estimate to track new and complex attacks, improving the solidity and accuracy of the IF algorithm. The new method is mainly concerned with attacks against the clusters and not against the aggregator. In this process, if an aggregator is attacked, the current system fails, and the information is eventually transmitted to the aggregator by the cluster members. This problem can be detected when both cluster members and aggregators are being targeted. It is proposed to choose an aggregator which chooses a new aggregator according to the remaining maximum energy and distance to the base station when an aggregator attack is detected. It also save time and energy compared to the current program against the corrupted aggregator node.
2021-04-27
K, S., Devi, K. Suganya, Srinivasan, P., Dheepa, T., Arpita, B., singh, L. Dolendro.  2020.  Joint Correlated Compressive Sensing based on Predictive Data Recovery in WSNs. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). :1–5.
Data sampling is critical process for energy constrained Wireless Sensor Networks. In this article, we proposed a Predictive Data Recovery Compressive Sensing (PDR-CS) procedure for data sampling. PDR-CS samples data measurements from the monitoring field on the basis of spatial and temporal correlation and sparse measurements recovered at the Sink. Our proposed algorithm, PDR-CS extends the iterative re-weighted -ℓ1(IRW - ℓ1) minimization and regularization on the top of Spatio-temporal compressibility for enhancing accuracy of signal recovery and reducing the energy consumption. The simulation study shows that from the less number of samples are enough to recover the signal. And also compared with the other compressive sensing procedures, PDR-CS works with less time.
2021-03-01
Saputra, R., Andika, J., Alaydrus, M..  2020.  Detection of Blackhole Attack in Wireless Sensor Network Using Enhanced Check Agent. 2020 Fifth International Conference on Informatics and Computing (ICIC). :1–4.

Wireless Sensor Network (WSN) is a heterogeneous type of network consisting of scattered sensor nodes and working together for data collection, processing, and transmission functions[1], [2]. Because WSN is widely used in vital matters, aspects of its security must also be considered. There are many types of attacks that might be carried out to disrupt WSN networks. The methods of attack that exist in WSN include jamming attack, tampering, Sybil attack, wormhole attack, hello flood attack, and, blackhole attack[3]. Blackhole attacks are one of the most dangerous attacks on WSN networks. Enhanced Check Agent method is designed to detect black hole attacks by sending a checking agent to record nodes that are considered black okay. The implementation will be tested right on a wireless sensor network using ZigBee technology. Network topology uses a mesh where each node can have more than one routing table[4]. The Enhanced Check Agent method can increase throughput to 100 percent.

2020-12-21
Yang, B., Liu, F., Yuan, L., Zhang, Y..  2020.  6LoWPAN Protocol Based Infrared Sensor Network Human Target Locating System. 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA). :1773–1779.
This paper proposes an infrared sensor human target locating system for the Internet of Things. In this design, the wireless sensor network is designed and developed to detect human targets by using 6LoWPAN protocol and pyroelectric infrared (PIR) sensors. Based on the detection data acquired by multiple sensor nodes, K-means++ clustering algorithm combined with cost function is applied to complete human target location in a 10m×10m detection area. The experimental results indicate the human locating system works well and the user can view the location information on the terminal devices.
2020-12-14
Wang, H., Ma, L., Bai, H..  2020.  A Three-tier Scheme for Sybil Attack Detection in Wireless Sensor Networks. 2020 5th International Conference on Computer and Communication Systems (ICCCS). :752–756.
Wireless sensor network (WSN) is a wireless self-organizing multi-hop network that can sense and collect the information of the monitored environment through a certain number of sensor nodes which deployed in a certain area and transmit the collected information to the client. Due to the limited power and data capacity stored by the micro sensor, it is weak in communication with other nodes, data storage and calculation, and is very vulnerable to attack and harm to the entire network. The Sybil attack is a classic example. Sybil attack refers to the attack in which malicious nodes forge multiple node identities to participate in network operation. Malicious attackers can forge multiple node identities to participate in data forwarding. So that the data obtained by the end user without any use value. In this paper, we propose a three-tier detection scheme for the Sybil node in the severe environment. Every sensor node will determine whether they are Sybil nodes through the first-level and second-level high-energy node detection. Finally, the base station determines whether the Sybil node detected by the first two stages is true Sybil node. The simulation results show that our proposed scheme significantly improves network lifetime, and effectively improves the accuracy of Sybil node detection.
2020-12-02
Kaur, M., Malik, A..  2018.  An Efficient and Reliable Routing Protocol Using Bio-Inspired Techniques for Congestion Control in WSN. 2018 4th International Conference on Computing Sciences (ICCS). :15—22.

In wireless sensor networks (WSNs), congestion control is a very essential region of concern. When the packets that are coming get increased than the actual capacity of network or nodes results into congestion in the network. Congestion in network can cause reduction in throughput, increase in network delay, and increase in packet loss and sensor energy waste. For that reason, new complex methods are mandatory to tackle with congestion. So it is necessary to become aware of congestion and manage the congested resources in wireless sensor networks for enhancing the network performance. Diverse methodologies for congestion recognition and prevention have been presented in the previous couple of years. To handle some of the problems, this paper exhibits a new technique for controlling the congestion. An efficient and reliable routing protocol (ERRP) based on bio inspired algorithms is introduced in this paper for solving congestion problem. In the proposed work, a way is calculated to send the packets on the new pathway. The proposed work has used three approaches for finding the path which results into a congestion free path. Our analysis and simulation results shows that our approach provides better performance as compared to previous approaches in terms of throughput, packet loss, delay etc.

2020-10-26
Mutalemwa, Lilian C., Seok, Junhee, Shin, Seokjoo.  2019.  Experimental Evaluation of Source Location Privacy Routing Schemes and Energy Consumption Performance. 2019 19th International Symposium on Communications and Information Technologies (ISCIT). :86–90.
Network lifetime and energy consumption of sensor nodes have an inversely proportional relationship. Thus, it is important to ensure source location privacy (SLP) routing schemes are energy-efficient. This work performs an experimental evaluation of some existing routing schemes and proposes a new angle-based routing algorithm to modify the schemes. The dynamic route creation process of the modified schemes is characterized by processes which include determination of route and banned regions and computation of control angle and lead factor parameters. Results of the analysis show that the modified schemes are effective at obfuscating the adversaries to provide strong SLP protection. Furthermore, the modified schemes consume relatively lower energy and guarantee longer network lifetime.
Xu, Mengmeng, Zhu, Hai, Wang, Juanjuan, Xu, Hengzhou.  2019.  Dynamic and Disjoint Routing Mechanism for Protecting Source Location Privacy in WSNs. 2019 15th International Conference on Computational Intelligence and Security (CIS). :310–314.
In this paper, we investigate the protection mechanism of source location privacy, in which back-tracing attack is performed by an adversary. A dynamic and disjoint routing mechanism (DDRM) is proposed to achieve a strong protection for source location privacy in an energy-efficient manner. Specially, the selection of intermediate node renders the message transmission randomly and flexibly. By constructing k disjoint paths, an adversary could not receive sufficient messages to locate the source node. Simulation results illustrate the effectiveness of the proposed mechanism.
Mutalemwa, Lilian C., Shin, Seokjoo.  2019.  Investigating the Influence of Routing Scheme Algorithms on the Source Location Privacy Protection and Network Lifetime. 2019 International Conference on Information and Communication Technology Convergence (ICTC). :1188–1191.
There exist numerous strategies for Source Location Privacy (SLP) routing schemes. In this study, an experimental analysis of a few routing schemes is done to investigate the influence of the routing scheme algorithms on the privacy protection level and the network lifetime performance. The analysis involved four categories of SLP routing schemes. Analysis results revealed that the algorithms used in the representative schemes for tree-based and angle-based routing schemes incur the highest influence. The tree-based algorithm stimulates the highest energy consumption with the lowest network lifetime while the angle-based algorithm does the opposite. Moreover, for the tree-based algorithm, the influence is highly dependent on the region of the network domain.
Zhang, Kewang, Zahng, Qiong.  2018.  Preserve Location Privacy for Cyber-Physical Systems with Addresses Hashing at Data Link Layer. 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). :1028–1032.
Due to their low complexity and robustness in nature, wireless sensor networks are a key component in cyber-physical system. The integration of wireless sensor network in cyber-physical system provides immense benefits in distributed controlled environment. However, the open nature of the wireless medium makes resource-constrained WSN vulnerable to unauthorized interception and detection. Privacy is becoming one of the major issues that jeopardize the successful deployment of WSN. In this paper, we propose a scheme named HASHA to provide location privacy. Different from previous approaches, HASHA protect nodes' location privacy at data link layer. It is well known that payload at data link layer frame is well protected through cryptosystem, but addresses at data link layer leaves unprotected. The adversaries can identify nodes in the network easily by capturing frames and check the source and destination addresses. If both addresses are well protected and unknown to the adversaries, they cannot identify nodes of the targeted networks, rendering it very difficult to launch traffic analysis and locate subjects. Simulation and analytical results demonstrate that our scheme provides stronger privacy protection and requires much less energy.
Miao, Xu, Han, Guangjie, He, Yu, Wang, Hao, Jiang, Jinfang.  2018.  A Protecting Source-Location Privacy Scheme for Wireless Sensor Networks. 2018 IEEE International Conference on Networking, Architecture and Storage (NAS). :1–5.
An exciting network called smart IoT has great potential to improve the level of our daily activities and the communication. Source location privacy is one of the critical problems in the wireless sensor network (WSN). Privacy protections, especially source location protection, prevent sensor nodes from revealing valuable information about targets. In this paper, we first discuss about the current security architecture and attack modes. Then we propose a scheme based on cloud for protecting source location, which is named CPSLP. This proposed CPSLP scheme transforms the location of the hotspot to cause an obvious traffic inconsistency. We adopt multiple sinks to change the destination of packet randomly in each transmission. The intermediate node makes routing path more varied. The simulation results demonstrate that our scheme can confuse the detection of adversary and reduce the capture probability.
Mutalemwa, Lilian C., Shin, Seokjoo.  2018.  Realizing Source Location Privacy in Wireless Sensor Networks Through Agent Node Routing. 2018 International Conference on Information and Communication Technology Convergence (ICTC). :1283–1285.
Wireless Sensor Networks (WSNs) are used in sensitive applications such as in asset monitoring applications. Due to the sensitivity of information in these applications, it is important to ensure that flow of data between sensor nodes is secure and does not expose any information about the source node or the monitored assets. This paper proposes a scheme to preserve the source location privacy based on random routing techniques. To achieve high privacy, the proposed scheme randomly sends packet to sink node through tactically positioned agent nodes. The position of agent nodes is designed to guarantee that successive packets are routed through highly random and perplexing routing paths as compared to other routing schemes. Simulation results demonstrate that proposed scheme provides longer safety period and higher privacy against both, patient and cautious adversaries.
2020-09-28
Madhan, E.S., Ghosh, Uttam, Tosh, Deepak K., Mandal, K., Murali, E., Ghosh, Soumalya.  2019.  An Improved Communications in Cyber Physical System Architecture, Protocols and Applications. 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). :1–6.
In recent trends, Cyber-Physical Systems (CPS) and Internet of Things interpret an evolution of computerized integration connectivity. The specific research challenges in CPS as security, privacy, data analytics, participate sensing, smart decision making. In addition, The challenges in Wireless Sensor Network (WSN) includes secure architecture, energy efficient protocols and quality of services. In this paper, we present an architectures of CPS and its protocols and applications. We propose software related mobile sensing paradigm namely Mobile Sensor Information Agent (MSIA). It works as plug-in based for CPS middleware and scalable applications in mobile devices. The working principle MSIA is acts intermediary device and gathers data from a various external sensors and its upload to cloud on demand. CPS needs tight integration between cyber world and man-made physical world to achieve stability, security, reliability, robustness, and efficiency in the system. Emerging software-defined networking (SDN) can be integrated as the communication infrastructure with CPS infrastructure to accomplish such system. Thus we propose a possible SDN-based CPS framework to improve the performance of the system.
2020-07-24
Munsyi, Sudarsono, Amang, Harun Al Rasvid, M. Udin.  2018.  An Implementation of Data Exchange in Environmental Monitoring Using Authenticated Attribute-Based Encryption with Revocation. 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC). :359—366.
Internet of things era grown very rapidly in Industrial Revolution 4.0, there are many researchers use the Wireless Sensor Network (WSN) technology to obtain the data for environmental monitoring. The data obtained from WSN will be sent to the Data Center, where users can view and collect all of data from the Data Center using end devices such as personal computer, laptop, and mobile phone. The Data Center would be very dangerous, because everyone can intercept, track and even modify the data. Security requirement to ensure the confidentiality all of stored data in the data center and give the authenticity in data has not changed during the collection process. Ciphertext Policy Attribute-Based Encryption (CP-ABE) can become a solution to secure the confidentiality for all of data. Only users with appropriate rule of policy can get the original data. To guarantee there is no changes during the collection process of the data then require the time stamp digital signature for securing the data integrity. To protect the confidentiality and data integrity, we propose a security mechanism using CP-ABE with user revocation and Time Stamp Digital Signature using Elliptic Curve Cryptography (ECC) 384 bits. Our system can do the revocation for the users who did the illegal access. Our system is not only securing the data but also providing the guarantee that is no changes during the collection process of the data from the Data Center.
2020-06-01
Kaushik, Ila, Sharma, Nikhil, Singh, Nanhay.  2019.  Intrusion Detection and Security System for Blackhole Attack. 2019 2nd International Conference on Signal Processing and Communication (ICSPC). :320—324.

Communication is considered as an essential part of our lives. Different medium was used for exchange of information, but due to advancement in field of technology, different network setup came into existence. One of the most suited in wireless field is Wireless Sensor Network (WSN). These networks are set up by self-organizing nodes which operate over radio environment. Since communication is done more rapidly, they are confined to many attacks which operate at different layers. In order to have efficient communication, some security measure must be introduced in the network ho have secure communication. In this paper, we describe various attacks functioning at different layers also one of the common network layer attack called Blackhole Attack with its mitigation technique using Intrusion Detection System (IDS) over network simulator ns2 has been discussed.

2020-05-11
Chandre, Pankaj Ramchandra, Mahalle, Parikshit Narendra, Shinde, Gitanjali Rahul.  2018.  Machine Learning Based Novel Approach for Intrusion Detection and Prevention System: A Tool Based Verification. 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN). :135–140.
Now a day, Wireless Sensor Networks are widely used in military applications by its applications, it is extended to healthcare, industrial environments and many more. As we know that, there are some unique features of WSNs such as limited power supply, minimum bandwidth and limited energy. So, to secure traditional network, multiple techniques are available, but we can't use same techniques to secure WSNs. So to increase the overall security of WSNs, we required new ideas as well as new approaches. In general, intrusion prevention is the primary issue in WSNs and intrusion detection already reached to saturation. Thus, we need an efficient solution for proactive intrusion prevention towards WSNs. Thus, formal validation of protocols in WSN is an essential area of research. This research paper aims to formally verify as well as model some protocol used for intrusion detection using AVISPA tool and HLPSL language. In this research paper, the results of authentication and DoS attacks were detected is presented, but there is a need to prevent such type of attacks. In this research paper, a system is proposed in order to avoid intrusion using machine learning for the wireless sensor network. So, the proposed system will be used for intrusion prevention in a wireless sensor network.
2020-02-26
L, Nirmala Devi, K, Venkata Subbareddy.  2019.  Secure and Composite Routing Strategy through Clustering In WSN. 2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC). :119–123.

Due to openness of the deployed environment and transmission medium, Wireless Sensor Networks (WSNs) suffers from various types of security attacks including Denial of service, Sinkhole, Tampering etc. Securing WSN is achieved a greater research interest and this paper proposes a new secure routing strategy for WSNs based on trust model. In this model, initially the sensor nodes of the network are formulated as clusters. Further a trust evaluation mechanism was accomplished for every sensor node at Cluster Head level to build a secure route for data transmission from sensor node to base station. Here the trust evaluation is carried out only at cluster head and also the cluster head is chosen in such a way the node having rich resources availability. The trust evaluation is a composition of the social trust and data trust. Simulation experiments are conducted over the proposed approach and the performance is measured through the performance metrics such as network lifetime, and Malicious Detection Rate. The obtained performance metrics shows the outstanding performance of proposed approach even in the increased malicious behavior of network.

Kumar, A. Ranjith, Sivagami, A..  2019.  Balanced Load Clustering with Trusted Multipath Relay Routing Protocol for Wireless Sensor Network. 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 1:1–6.

Clustering is one of an eminent mechanism which deals with large number of nodes and effective consumption of energy in wireless sensor networks (WSN). Balanced Load Clustering is used to balance the channel bandwidth by incorporating the concept of HMAC. Presently several research studies works to improve the quality of service and energy efficiency of WSN but the security issues are not taken care of. Relay based multipath trust is one of the methods to secure the network. To this end, a novel approach called Balanced Load Clustering with Trusted Multipath Relay Routing Protocol (BLC-TMR2) to improve the performance of the network. The proposed protocol consists of two algorithms. Initially in order to reduce the energy consumption of the network, balanced load clustering (BLC) concepts is introduced. Secondly to secure the network from the malicious activity trusted multipath relay routing protocol (TMR2) is used. Multipath routing is monitored by the relay node and it computed the trust values. Network simulation (NS2) software is used to obtain the results and the results prove that the proposed system performs better the earlier methods the in terms of efficiency, consumption, QoS and throughput.

2020-02-17
Biswal, Satya Ranjan, Swain, Santosh Kumar.  2019.  Model for Study of Malware Propagation Dynamics in Wireless Sensor Network. 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). :647–653.
Wireless Sensor Network (WSN) faces critical security challenges due to malware(worm, virus, malicious code etc.) attack. When a single node gets compromised by malware then start to spread in entire sensor network through neighboring sensor nodes. To understand the dynamics of malware propagation in WSN proposed a Susceptible-Exposed-Infectious-Recovered-Dead (SEIRD) model. This model used the concept of epidemiology. The model focused on early detection of malicious signals presence in the network and accordingly application of security mechanism for its removal. The early detection method helps in controlling of malware spread and reduce battery consumption of sensor nodes. In this paper study the dynamics of malware propagation and stability analysis of the system. In epidemiology basic reproduction number is a crucial parameter which is used for the determination of malware status in the system. The expression of basic reproduction number has been obtained. Analyze the propagation dynamics and compared with previous model. The proposed model provides improved security mechanism in comparison to previous one. The extensive simulation results conform the analytical investigation and accuracy of proposed model.
Jyothi, R., Cholli, Nagaraj G..  2019.  New Approach to Secure Cluster Heads in Wireless Sensor Networks. 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS). :1097–1101.
This Wireless Sensor Network is a network of devices that communicates the information gathered from a monitored field through wireless links. Small size sensor nodes constitute wireless sensor networks. A Sensor is a device that responds and detects some type of input from both the physical or environmental conditions, such as pressure, heat, light, etc. Applications of wireless sensor networks include home automation, street lighting, military, healthcare and industrial process monitoring. As wireless sensor networks are distributed across large geographical area, these are vulnerable to various security threats. This affects the performance of the wireless sensor networks. The impact of security issues will become more critical if the network is used for mission-critical applications like tactical battlefield. In real life deployment scenarios, the probability of failure of nodes is more. As a result of resource constraints in the sensor nodes, traditional methods which involve large overhead computation and communication are not feasible in WSNs. Hence, design and deployment of secured WSNs is a challenging task. Attacks on WSNs include attack on confidentiality, integrity and availability. There are various types of architectures that are used to deploy WSNs. Some of them are data centric, hierarchical, location based, mobility based etc. This work discusses the security issue of hierarchical architecture and proposes a solution. In hierarchical architectures, sensor nodes are grouped to form clusters. Intra-cluster communication happens through cluster heads. Cluster heads also facilitate inter-cluster communication with other cluster heads. Aggregation of data generated by sensor nodes is done by cluster heads. Aggregated data also get transferred to base through multi-hop approach in most cases. Cluster heads are vulnerable to various malicious attacks and this greatly affects the performance of the wireless sensor network. The proposed solution identifies attacked cluster head and changes the CH by identifying the fittest node using genetic algorithm based search.
Yapar, Büşranur, Güven, Ebu Yusuf, Aydın, Muhammed Ali.  2019.  Security on Wireless Sensor Network. 2019 4th International Conference on Computer Science and Engineering (UBMK). :693–698.
Wireless sensor networks are called wireless networks consisting of low-cost sensor nodes that use limited resources, collect and distribute data. Wireless sensor networks make observation and control of physical environments from distance easier. They are used in a variety of areas, such as environmental surveillance, military purposes, and the collection of information in specific areas. While the low cost of sensor nodes allows it to spread and increase it's quantitative, battery and computational constraints, noise and manipulation threats from the environment cause various challenges in wireless sensor applications. To overcome these challenges, researches have conducted a lot of researches on various fields like power consumption, use of resources and security approaches. In these studies, routing, placement algorithms and system designs are generally examined for efficient energy consumption. In this article, the relationship between the security of sensor networks and efficient resource usage and various scenarios are presented.
Siasi, Nazli, Aldalbahi, Adel, Jasim, Mohammed A..  2019.  Reliable Transmission Scheme Against Security Attacks in Wireless Sensor Networks. 2019 International Symposium on Networks, Computers and Communications (ISNCC). :1–6.

Routing protocols in wireless sensor network are vulnerable to various malicious security attacks that can degrade network performance and lifetime. This becomes more important in cluster routing protocols that is composed of multiple node and cluster head, such as low energy adaptive clustering hierarchy (LEACH) protocol. Namely, if an attack succeeds in failing the cluster head, then the entire set of nodes fail. Therefore, it is necessary to develop robust recovery schemes to overcome security attacks and recover packets at short times. Hence this paper proposes a detection and recovery scheme for selective forwarding attacks in wireless sensor networks using LEACH protocol. The proposed solution features near-instantaneous recovery times, without the requirement for feedback or retransmissions once an attack occurs.

2019-12-30
Tariq, Mahak, Khan, Mashal, Fatima, Sana.  2018.  Detection of False Data in Wireless Sensor Network Using Hash Chain. 2018 International Conference on Applied and Engineering Mathematics (ICAEM). :126-129.

Wireless Sensor Network (WSN) is often to consist of adhoc devices that have low power, limited memory and computational power. WSN is deployed in hostile environment, due to which attacker can inject false data easily. Due to distributed nature of WSN, adversary can easily inject the bogus data into the network because sensor nodes don't ensure data integrity and not have strong authentication mechanism. This paper reviews and analyze the performance of some of the existing false data filtering schemes and propose new scheme to identify the false data injected by adversary or compromised node. Proposed schemes shown better and efficiently filtrate the false data in comparison with existing schemes.

2019-08-05
Ghugar, U., Pradhan, J..  2018.  NL-IDS: Trust Based Intrusion Detection System for Network Layer in Wireless Sensor Networks. 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC). :512-516.

From the last few years, security in wireless sensor network (WSN) is essential because WSN application uses important information sharing between the nodes. There are large number of issues raised related to security due to open deployment of network. The attackers disturb the security system by attacking the different protocol layers in WSN. The standard AODV routing protocol faces security issues when the route discovery process takes place. The data should be transmitted in a secure path to the destination. Therefore, to support the process we have proposed a trust based intrusion detection system (NL-IDS) for network layer in WSN to detect the Black hole attackers in the network. The sensor node trust is calculated as per the deviation of key factor at the network layer based on the Black hole attack. We use the watchdog technique where a sensor node continuously monitors the neighbor node by calculating a periodic trust value. Finally, the overall trust value of the sensor node is evaluated by the gathered values of trust metrics of the network layer (past and previous trust values). This NL-IDS scheme is efficient to identify the malicious node with respect to Black hole attack at the network layer. To analyze the performance of NL-IDS, we have simulated the model in MATLAB R2015a, and the result shows that NL-IDS is better than Wang et al. [11] as compare of detection accuracy and false alarm rate.

2019-05-01
Berjab, N., Le, H. H., Yu, C., Kuo, S., Yokota, H..  2018.  Hierarchical Abnormal-Node Detection Using Fuzzy Logic for ECA Rule-Based Wireless Sensor Networks. 2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC). :289-298.

The Internet of things (IoT) is a distributed, networked system composed of many embedded sensor devices. Unfortunately, these devices are resource constrained and susceptible to malicious data-integrity attacks and failures, leading to unreliability and sometimes to major failure of parts of the entire system. Intrusion detection and failure handling are essential requirements for IoT security. Nevertheless, as far as we know, the area of data-integrity detection for IoT has yet to receive much attention. Most previous intrusion-detection methods proposed for IoT, particularly for wireless sensor networks (WSNs), focus only on specific types of network attacks. Moreover, these approaches usually rely on using precise values to specify abnormality thresholds. However, sensor readings are often imprecise and crisp threshold values are inappropriate. To guarantee a lightweight, dependable monitoring system, we propose a novel hierarchical framework for detecting abnormal nodes in WSNs. The proposed approach uses fuzzy logic in event-condition-action (ECA) rule-based WSNs to detect malicious nodes, while also considering failed nodes. The spatiotemporal semantics of heterogeneous sensor readings are considered in the decision process to distinguish malicious data from other anomalies. Following our experiments with the proposed framework, we stress the significance of considering the sensor correlations to achieve detection accuracy, which has been neglected in previous studies. Our experiments using real-world sensor data demonstrate that our approach can provide high detection accuracy with low false-alarm rates. We also show that our approach performs well when compared to two well-known classification algorithms.