2-Step Power Scheduling with Adaptive Control Interval for Network Intrusion Detection Systems on Multicores

Tuong, Lau Phi; Kimura, Keiji

doi:10.1109/mcsoc.2016.18

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2019

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“…Both Snort and Suricata were able to identify all attacks correctly. Power consumption was one of the topics addressed in [18]. The authors proposed an adaptive multistep algorithm that managed to save power, which is a step towards environmental-friendly solutions.…”

Section: Performance Analysismentioning

confidence: 99%

Experimental load test statistics for the selected IPS tools on low-performance IoT devices

Zitta

Lucki

Vojtěch

et al. 2019

Journal of Electrical Engineering

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The goal of this paper is to propose a testing procedure for selected intrusion prevention systems (IPS) in a realistic network traffic in terms of their suitability on a given hardware microcomputers for low-performance devices for internet of things (IoT). We perform an IPS research in terms of resource usage in order to establish a universal procedure of checking, whether a given microcomputer controlling IoT devices (often in overloaded state) can additionally burden the installation and start-up of IPS. The experiment is repeated on several boards under overload condition to determine the maximum data rate, above which transmission degrades. The presented testing method is an exemplary tool for IoT applications concerning the security of embedded devices with low performance.

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Section: Performance Analysismentioning

confidence: 99%