An anomalous co‐operative trust & PG‐DRL based vampire attack detection & routing

Abstract

Sensor nodes in WSN play a vital role in communication, IoTs and many other emergencies too. However, the energy consumption of nodes is a major setback to these, which incites various malicious nodes/attacks. This article studies and presents the solution to Vampire attack-one of those kinds of attacks. It depletes the energy by route elongation of data transmission. This article has suggested a novel two-fold mechanism to detect the attack by integrating co-operation trust mechanism and the mitigation of the attack by selecting the secure route by policy gradient-deep reinforcement learning. The designed protocol also ensures the selection of a secure hop even in the presence of the vampire attack. The results are compared with various other existing state-of-the-art schemes and have improved the detection ratio by 20% compared to the forecasting methods applied for detecting the vampire node's behavior. The network lifetime has also improved by 3% than the benchmark dynamic source routing.

A predictive vampire attack detection by social spider optimized Gaussian mixture model clustering

“…Table 2 lists the notation of equations in the article. The energy consumption incurred in the reception is calculated as Since a node consumes the energy in transmission as well as in reception, so the total energy consumption is the sum of Equations ( 24) and (25).…”

Exploring Trust Modeling and Management Techniques in the Context of Distributed Wireless Networks: A Literature Review

“…Behavioural modelling was also considered by Ma et al [161], which entailed a Long Short-Term Memory (LSTM) NN to build a baseline model trained on QoS trust properties to detect similarities between the real and modelled IoT devices. Juneja et al [162] focused on detecting energy related trust attacks aiming to deplete nodes' battery. Additionally, the proposed approach intends to aid secure routing in WSNs by avoiding malicious nodes.…”