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Cited by 27Security in Wireless Sensor NetworksNetwork Security and Intrusion DetectionIoT and Edge/Fog Computing

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A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

Open access
Khan, Burhan Ul Islam, Anwar, Farhat, Olanrewaju, Rashidah Funke, Pampori, Bisma Rasool, Mir, Roohie Naaz·2020·IEEE Access
DOI 10.1109/access.2020.2997711
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Abstract

The current era of smart computing and enabling technologies encompasses the Internet of Things (IoT) as a network of connected, intelligent objects where objects range from sensors to smartphones and wearables. Here, nodes or objects cooperate during communication scenarios to accomplish effective throughput performance. Despite the deployment of large-scale infrastructure-based communications with faster access technologies, IoT communication layers can still be affected with security vulnerabilities if nodes/objects do not cooperate and intend to take advantage of other nodes for fulfilling their malevolent interest. Therefore, it is essential to formulate an intrusion detection/prevention system that can effectively identify the malicious node and restrict it from further communication activities - thus, the throughput, and energy performance can be maximized to a significant extent. This study introduces a combined multi-agent and multilayered game formulation where it incorporates a trust model to assess each node/object, which is participating in IoT communications from a security perspective. The experimental test scenarios are numerically evaluated, where it is observed that the proposed approach attains significantly improves intrusion detection accuracy, delay, and throughput performance as compared to the existing baseline approaches.

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Metadata

Authors
Khan, B. U. I., Anwar, F., Olanrewaju, R. F., Pampori, B. R., & Mir, R. N.
Affiliations
  • International Islamic University Malaysia (MY)
  • Central University of Kashmir (IN)
  • National Institute of Technology Srinagar (IN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2020
Volume
8
Pages
98481-98490
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2020.2997711
OpenAlex
W3029829025
Cited by
27
References
0
Citations by year
2026: 2 · 2025: 10 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 1
FWCI
1.64
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by)
  • The International Islamic University Malaysia Repository (The International Islamic University Malaysia) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ministry of Higher Education Malaysia (Kementerian Pendidikan Tinggi) through the Fundamental Research Grant Scheme (FRGS) (FRGS19-137-0746)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
intrusion detection, Internet of Things security, trust model, malicious node detection, cooperative communication, throughput performance, energy efficiency, game theory

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Khan, B. U. I., Anwar, F., Olanrewaju, R. F., Pampori, B. R., & Mir, R. N. (2020). A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT). IEEE Access. https://doi.org/10.1109/access.2020.2997711