Research of IOT Intrusion Detection System Based on Hidden Markov Model

Xiu Mei Wei; Xue Song Jiang; Xin Gang Wang

doi:10.4028/www.scientific.net/AMM.263-266.2949

Paper Titles

Improvement of a SIP Security Mechanism
p.2929

JPEG Steganalysis Based on Feature Fusion by Principal Component Analysis
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Multi-Replica Dynamic Data Verification for Cloud Computing
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On a Zero Knowledge and Fiat-Shamir Protocol Based Self-Organized Key Management Algorithm
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Research of IOT Intrusion Detection System Based on Hidden Markov Model
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Research on Company-Oriented General Authenticated Encryption Threshold Scheme
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The Improvements of OTP Authentication Technology in the FTP Proxy Server Applications
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The Research of Intrusion Detection System Based on ANN on Cloud Platform
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V-Detector-Based Immune Negative Intrusion Detection Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Research of IOT Intrusion Detection System Based...

Research of IOT Intrusion Detection System Based on Hidden Markov Model

Abstract:

Along with the development of Internet of Things (IOT), there are a lot of increasingly serious security problems. The traditional intrusion detection method cannot adapt to the requirement of IOT. In this paper we advance a new intrusion detection method which can adapt to IOT. It is based on Hidden Markov Model (HMM), which is named as Hidden Markov state time delay sequence embedding (HMMSTdse) method.