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

Farouq Aliyu; Tarek Sheltami; Mohamed Deriche; Nidal Nasser

doi:10.1007/s10922-021-09616-6

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

Farouq Aliyu^*
, Tarek Sheltami
, Mohamed Deriche
, Nidal Nasser

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 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 language	English
Article number	11
Journal	Journal of Network and Systems Management
Volume	30
Issue number	1
DOIs	https://doi.org/10.1007/s10922-021-09616-6
State	Published - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

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

ASJC Scopus subject areas

Information Systems
Hardware and Architecture
Computer Networks and Communications
Strategy and Management

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10.1007/s10922-021-09616-6

Cite this

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title = "Human Immune-Based Intrusion Detection and Prevention System for Fog Computing",

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{\textquoteright}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.",

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AU - Aliyu, Farouq

AU - Sheltami, Tarek

AU - Deriche, Mohamed

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Y1 - 2022/1

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KW - Cloud computing

KW - Fog computing

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KW - Intrusion detection and prevention system

KW - Network security

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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