arXiv (Cornell University) · 2018 · 22 citations · 8 references
ComputingComputer ScienceCybersecurityInternet Of ThingsNetwork SecuritySecurity ArchitectureAnomaly DetectionIntrusion AnalysisIntrusion DetectionIntrusion PreventionIot SecurityAttack Signature MatchingControl Architecture DesignHeterogeneous NetworksInternet Of Things Network SecurityIntrusion Detection ArchitectureIot Intrusion DetectionSignature-based DetectionSystem Architecture Design
With the advent of large-scale heterogeneous networks comes the problem of unified network control resulting in security lapses that could have otherwise avoided. A mechanism is needed to detect and deflect intruders to safeguard resource constraint edge devices and networks as well. In this paper we demonstrate the use of an optimized pattern recognition algorithm to detect such attacks. Furthermore, we propose an Intrusion Detection System (IDS) methodology and design architecture for Internet of Things that makes the use of this search algorithm to thwart various security breaches. Numerical results are presented from tests conducted with the aid of NSL KDD cup dataset showing the efficacy the IDS
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