Learning automata: an introduction
Learning automata: an introduction
IEEE/ACM Transactions on Networking (TON)
SPINS: security protocols for sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Learning Algorithms Theory and Applications
Learning Algorithms Theory and Applications
The Resurrecting Duckling: Security Issues for Ad-hoc Wireless Networks
Proceedings of the 7th International Workshop on Security Protocols
Security for wireless sensor networks
Wireless sensor networks
Security for wireless sensor networks
Wireless sensor networks
TinySec: a link layer security architecture for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Intrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks
IEEE Transactions on Mobile Computing
HEAP: a hierarchical energy aware protocol for routing and aggregation in sensor networks
WICON '07 Proceedings of the 3rd international conference on Wireless internet
LIDeA: a distributed lightweight intrusion detection architecture for sensor networks
Proceedings of the 4th international conference on Security and privacy in communication netowrks
Data aggregation in sensor networks using learning automata
Wireless Networks
A performance evaluation of intrusion-tolerant routing in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Energy efficient intrusion detection in camera sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Guest editorial learning automata: theory, paradigms, and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Network: The Magazine of Global Internetworking
A survey of intrusion detection techniques for cyber-physical systems
ACM Computing Surveys (CSUR)
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The protocols in Wireless Sensor Networks (WSN) have a unique requirement for being of low complexity and energy-efficient. Due to their possible deployment in remote locations for civil, educational, scientific and military purposes, security, which includes intrusion detection and intrusion prevention, is of utmost importance. In this paper, we propose a simple, low complexity and energy-aware protocol for intrusion detection in WSN. The protocol is self-learning and distributed in nature. The distributed nature avoids all other nodes being sacrificed when a single node is compromised. The protocol juxtaposes the concept of stochastic learning automata on packet sampling mechanism to achieve an energy aware intrusion detection system. We have rigorously evaluated the performance of our proposed solution by performing a variety of experiments and have found our solution approach to be promising.