1 research outputs found
Reinforcement based Cognitive Algorithms to Detect Malicious Node in Wireless Networks
The growth of wireless communication technologies and its
applications leads to many security issues. Malicious node
detection is one among the major security issues. Adoption of
cognition can detect and Prevent malicious activities in the
wireless networks. To achieve cognition into wireless
networks, we are using reinforcement learning techniques. By
using the existing reinforcement techniques, we have
proposed GreedyQ cognitive (GQC) and SoftSARSA
cognitive (SSC) algorithms for malicious node detection and
the performances among these algorithms are evaluated and
the result shows SSC algorithm is best algorithm. The
proposed algorithms perform better in malicious node
detection as compared to the existing algorithms