Development of FIGA: a Novel Trust-Based Algorithm for Securing Autonomous Interactions in WSN
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Attempts at securing wireless sensor networks
(WSN) and making them more resilient and self-healing after
attacks demand that services rendered by the network be
secured on individual basis. The fact that a node is
malfunctioning and/or has been compromised does not
necessarily warrant its elimination from the network. Albeit,
services such as routing, sensor readings, key distribution
schemes, and others are handled in isolation and individually,
due to the fact that an attack or malfunction may only be
temporary. Moreover, an attack aimed at routing, or a
particular application service does not invalidate nodes or the
entire network. Consequently, Fuzzy Inference Gatekeeper
Algorithm (FIGA); the algorithm presented in this paper
proposes a piecemeal approach to WSN security. FIGA secures
interactions in autonomous WSN by using a contextualized
fuzzy inference system to combine trust scores from individual
node interactions, reputation scores gotten from consultations
and time dependent exponential trust scores. By so doing, we
argue that autonomous WSNs can be better secured. We
further illustrate the effectiveness of the FIGA against a
simulated Sybil attack and discuss how the network recovers
following such an attack.
Keywords
TK Electrical engineering. Electronics Nuclear engineering