An Automata Based Intrusion Detection Method for Internet of Things

Yulong Fu*, Zheng Yan, Jin Cao, Ousmane Koné, Xuefei Cao

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    70 Citations (Scopus)
    497 Downloads (Pure)

    Abstract

    Internet of Things (IoT) transforms network communication to Machine-to-Machine (M2M) basis and provides open access and new services to citizens and companies. It extends the border of Internet and will be developed as one part of the future 5G networks. However, as the resources of IoT's front devices are constrained, many security mechanisms are hard to be implemented to protect the IoT networks. Intrusion detection system (IDS) is an efficient technique that can be used to detect the attackers when cryptography is broken, and it can be used to enforce the security of IoT networks. In this article, we analyzed the intrusion detection requirements of IoT networks and then proposed a uniform intrusion detection method for the vast heterogeneous IoT networks based on an automata model. The proposed method can detect and report the possible IoT attacks with three types: Jam-attack, false-attack, and reply-attack automatically. We also design an experiment to verify the proposed IDS method and examine the attack of RADIUS application.

    Original languageEnglish
    Article number1750637
    Number of pages13
    JournalMOBILE INFORMATION SYSTEMS
    Volume2017
    DOIs
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed

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