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Information Journal Paper

Title

A SURVEY OF ANOMALY DETECTION APPROACHES IN INTERNET OF THINGS

Pages

  79-92

Abstract

 Internet of Things is an ever-growing network of heterogeneous and constraint nodes which are connected to each other and Internet. Security plays an important role in such networks. Experience has proved that encryption and authentication are not enough for the security of networks and an INTRUSION DETECTION System is required to detect and to prevent attacks from malicious nodes. In this regard, ANOMALY based INTRUSION DETECTION Systems identify anomalous behavior of the network and consequently detect possible intrusion, unknown and stealth attacks. To this end, this paper analyses, evaluates and classifies ANOMALY detection approaches and systems specific to INTERNET OF THINGS. For this purpose, ANOMALY detection systems and approaches are analyzed in terms of engine architecture, application position and detection method and in each point of view, approaches are investigated considering the associated classification.

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  • Cite

    APA: Copy

    BEHNIAFAR, MORTEZA, Nowroozi, Alireza, & SHAHRIARI, HAMID REZA. (2018). A SURVEY OF ANOMALY DETECTION APPROACHES IN INTERNET OF THINGS. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 10(2 ), 79-92. SID. https://sid.ir/paper/241809/en

    Vancouver: Copy

    BEHNIAFAR MORTEZA, Nowroozi Alireza, SHAHRIARI HAMID REZA. A SURVEY OF ANOMALY DETECTION APPROACHES IN INTERNET OF THINGS. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY[Internet]. 2018;10(2 ):79-92. Available from: https://sid.ir/paper/241809/en

    IEEE: Copy

    MORTEZA BEHNIAFAR, Alireza Nowroozi, and HAMID REZA SHAHRIARI, “A SURVEY OF ANOMALY DETECTION APPROACHES IN INTERNET OF THINGS,” THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, vol. 10, no. 2 , pp. 79–92, 2018, [Online]. Available: https://sid.ir/paper/241809/en

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