Secure Cooperative Routing in Wireless Sensor Networks
Source abstract
Abstract
In wireless sensor networks (WSNs), sensor nodes are randomly distributed to transmit sensed data packets to the base station periodically. These sensor nodes, because of constrained battery power and storage space, cannot utilize conventional security measures. The widely held challenging issues for the network layer of WSNs are the packet-dropping attacks, mainly sinkhole and wormhole attacks, which focus on the routing pattern of the protocol. This thesis presents an improved version of the second level of the guard to the system, intrusion detection systems (IDSs), to limit the hostile impact of these attacks in a Low Energy Adaptive Clustering Hierarchy (LEACH) environment. The proposed system named multipath intrusion detection system (MIDS) integrates an IDs with ad hoc on-demand Multipath Distance Vector (AOMDV) protocol. The IDS agent uses the number of packets transmitted and received to calculate intrusion ratio (IR), which helps to mitigate sinkhole attacks and from AOMDV protocol round trip time (RTT) is computed by taking the difference between route request and route reply time to mitigate wormhole attack. MATLAB simulation results show that this cooperative model is an effective technique due to the higher packet delivery ratio (PDR), throughput, and detection accuracy. The proposed MIDS algorithm is proven to be more efficient when compared with an existing LEACH-based IDS system and MS-LEACH in terms of overall energy consumption, lifetime, and throughput of the network.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Security in Wireless Sensor Networks · Mobile Ad Hoc Networks · Energy Efficient Wireless Sensor Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science, Fatima Jinnah Women University, The Mall, Rawalpindi 44000, Pakistan
Computer Science Department, College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia
School of Computing Scienes, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur 22621, Pakistan
References (34)
Show source-provided references
1. Wormhole attack detection techniques in ad-hoc network: A systematic review10.1515/comp-2022-0245 ↗
2. Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET
3. Annie, M., and Terence, J.S. (2017, January 6–8). A Survey on Various Detection Techniques of Sinkhole Attacks in WSN. Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, Chennai, India.
4. A hybrid wormhole attack detection in mobile ad-hoc network (MANET)10.1109/ACCESS.2021.3051491 ↗
5. A review on the security of IoT networks: From network layer’s perspective10.1109/ACCESS.2023.3246180 ↗
6. A study on intrusion detection system in wireless sensor networks
7. Secure routing in wireless sensor networks: A state of the art
8. Malicious attack detection based on continuous Hidden Markov Models in Wireless sensor networks10.1016/j.micpro.2023.104888 ↗
9. Survey of Cooperative Routing Alg orithms in Wireless Sensor Networks
10. Intrusion detection technique in wireless sensor network using grid search random forest with Boruta feature selection algorithm10.23919/JCN.2022.000002 ↗
11. Intrusion Detection System Using Hybrid Tissue Growing Algorithm for Wireless Sensor Network10.1007/s12083-019-00781-9 ↗
12. Beeware Routing Scheme for Detecting Network Layer Attacks in Wireless Sensor Networks10.1007/s11277-020-07158-9 ↗
13. On the Feasibility of Deep Learning in Sensor Network Intrusion Detection10.1109/LNET.2019.2901792 ↗
14. A review paper on wireless sensor network techniques in Internet of Things (IoT)10.1016/j.matpr.2021.05.067 ↗
15. Cybersecurity issues in wireless sensor networks: Current challenges and solutions10.1007/s11277-020-07213-5 ↗
16. Sinkhole Attacks in Wireless Sensor Networks: A Survey10.1007/s11277-018-6040-7 ↗
17. Wireless sensor networks: Active and passive attacks-vulnerabilities and countermeasures10.1016/j.gltp.2021.08.045 ↗
18. Internet of things based wireless sensor network: A review
19. Uzougbo, O.I., Ajibade, S.S., and Taiwo, F. (2020). An overview of wireless sensor network security attacks: Mode of operation, severity and mitigation techniques. arXiv.
20. An Enhanced Scheme of Excluding Compromised Nodes in Wireless Sensor Networks
21. A comprehensive survey on routing and security in mobile wireless sensor networks
22. An Efficient Clustered M-path Sinkhole Attack Detection (MSAD) Algorithm for Wireless Sensor Networks
23. Nwankwo, K.E., Abdulhamid, S.I.M., Ojeniyi, J.A., Misra, S., Oluranti, J., and Ahuja, R. (2020, January 14–16). A Panacea to soft computing approach for Sinkhole attack classification in a wireless sensor networks environment. Proceedings of the Futuristic Trends in Network and Communication Technologies: Third International Conference, FTNCT, Taganrog, Russia.10.1007/978-981-16-1480-4_7 ↗
24. Efficient and secure data transmission and sinkhole detection in a multi-clustering wireless sensor network based on homomorphic encryption and watermarking
25. Hanif, M., Ashraf, H., Jalil, Z., Jhanjhi, N.Z., Humayun, M., Saeed, S., and Almuhaideb, A.M. (2022). AI-based wormhole attack detection techniques in wireless sensor networks. Electronics, 11.10.3390/electronics11152324 ↗
26. A wormhole attack detection method for tactical wireless sensor networks10.7717/peerj-cs.1449 ↗
27. Sinkhole Attack Detection and Prevention Using Agent Based Algorithm
28. Mitigation of Sinkhole Attack in Dynamic Directional Routing for Mobile Wireless Sensor Networks10.12785/ijcds/1401108 ↗
29. Centralized routing protocol for detecting wormhole attacks in wireless sensor networks10.1109/ACCESS.2020.2983438 ↗
30. Intelligent ad-hoc-on demand multipath distance vector for wormhole attack in clustered WSN10.1007/s11277-021-08950-x ↗
31. Kaur, T., and Kumar, R. (2018, January 12–15). Mitigation of Blackhole Attacks and Wormhole Attacks in Wireless Sensor Networks Using AODV Protocol. Proceedings of the 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE, Oshawa, ON, Canada.10.1109/SEGE.2018.8499473 ↗
32. Detection and Prevention of Wormhole Attack in Wireless Sensor Network Using AOMDV Protocol10.1016/j.procs.2016.03.092 ↗
33. Sinkhole Attack Detection In MANET Using Swarm Intelligence Techniques
34. Intrusion Detection Algorithm for Mitigating Sinkhole Attack on LEACH Protocol in Wireless Sensor Networks