Cyber-Attacks in WSN & Security Optimization By Novel Technique based
Intensive Binary Pigeon Optimization (IBiPO) & Bi-LSTM-based IDS
Framework
Abstract
With the global adoption of Internet services, service
providers are having a difficult time securing their systems, especially
against new attacks and intrusions. Various anomalous detection
approaches have been developed for protecting WSN from cyber-attacks.
However, those systems suffer from the major issues of a high number of
false alarms, increased over-fitting, and complexity. Therefore, this
paper motivates to develop a novel and intelligent IDS framework for
protecting WSN from cyber-attacks. For this purpose, an Intensive Binary
Pigeon Optimization (IBiPO) and Bi-directional Long Short-Term Memory
(Bi-LSTM) mechanisms are developed for accurate intrusion detection and
classification.