Human Immune-Based Intrusion Detection and Prevention System for Fog Computing

Farouq Aliyu, Tarek Sheltami, Mohamed Deriche, Nidal Nasser

Research output: Contribution to journalJournal articlepeer-review

1 Scopus citations

Abstract

The exponential increase in Internet of Things devices on the Internet causes a deluge of traffic at the cloud. Most of the traffic data is redundant. However, fog computing solves the problems by processing data at the network’s edge. Lately, the fog layer is a target of cyberattacks, due to its resource constraints. In this paper, we proposed a lightweight, human immune, and anomaly-based intrusion detection system (IDS) for the fog layer. The proposed system achieves low resource overhead by distributing the IDS functions among the fog nodes and the cloud. We obtained an accuracy of up to 98.8%. Also, we recorded a 10% reduction in the energy consumption of the fog node when compared with deploying a neural network on the fog node.

Original languageEnglish
Article number11
JournalJournal of Network and Systems Management
Volume30
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Cloud computing
  • Fog computing
  • Human-immune system
  • Internet of Things
  • Intrusion detection and prevention system
  • Network security

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