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a Novel Technique based Intensive Binary Pigeon Optimization ( IBiPO) & Bi-LSTM-based IDS Framework
  • Faisal Nabi,
  • Xujuan Zhou
Faisal Nabi
Mohammad Ali Jinnah University

Corresponding Author:[email protected]

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Xujuan Zhou
University of Southern Queensland Faculty of Business Education Law and Arts
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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.