Research Area:  Wireless Sensor Networks
Wireless sensor networks are susceptible to various Denial-of-Service attacks due to their open deployment. Jamming attack at the physical layer is a type of Denial-of-Service attack in which an adversary node prevents channel access or disrupts the communication between the nodes by emitting noise signals. Due to this, the compromised nodes are interrupted either from sending out packets or receiving packets. As these nodes are unaware of the intrusion, they continuously attempt to access the jammed channel and retransmit lost packets resulting in energy drainage. This energy depletion though primarily leads to node failure, it ultimately reduces network lifetime enforcing intrusion detection. With this intention, a hybrid algorithm based on Fuzzy logic and Ant Colony Optimization for detection of jamming attack is proposed. Detection of jammed node is through fuzzy logic and thereon for successful data routing, Ant Colony Optimization is used. The proposal is simulated in MATLAB and the results are compared with the Ant Colony Optimization technique proposed earlier. The results confirm the supremacy of the proposed hybrid optimization technique over the Ant Colony Optimization.
Author(s) Name:  M. Meenalochani and S. Sudha
Journal name:  Wireless Personal Communications
Publisher name:  Springer
Volume Information:  volume 104, pages 663–675 (2019)
Paper Link:   https://link.springer.com/article/10.1007/s11277-018-6042-5