Research on Intrusion Detection for the Internet of Things Based on Clone Selection Principle

Cai Ming Liu; Yan Zhang; Run Chen; Lu Xin Xiao; Jian Dong Zhang

doi:10.4028/www.scientific.net/AMR.562-564.1982

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Research on Intrusion Detection for the Internet...

Research on Intrusion Detection for the Internet of Things Based on Clone Selection Principle

Abstract:

The fast development of the Internet of Things (IoT) makes its security problems appear gradually. It is urgent to study the intrusion detection technology for IoT security threats. An intrusion detection method based on the clone selection principle is proposed in this paper. The key elements in the clone selection theory are simulated. The clone selection algorithm is realized to be applied in IoT. Detection elements for security threats evolve to adapt the real IoT environment. The proposed method is expected to improve the detection efficiency of IoT security threats.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1982-1985

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1982

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Online since:

August 2012

Authors:

Cai Ming Liu, Yan Zhang, Run Chen, Lu Xin Xiao, Jian Dong Zhang

Keywords:

Clone Selection Principle, Internet of Things (IOT), Intrusion Detection, Security Threat

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