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Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. (arXiv:2305.10565v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The IoT's vulnerability to network attacks has motivated the design of
intrusion detection schemes (IDS) using Machine Learning (ML), with a low
computational cost for online detection but intensive offline learning. Such
IDS can have high attack detection accuracy and are easily installed on servers
that communicate with IoT devices. However, they are seldom evaluated in
realistic operational conditions where IDS processing may be held up by the
system overload created by attacks. Thus we first present an experimental study …
accuracy attack attacks computational cost design detection evaluation flood high ids intrusion intrusion detection iot lan low machine machine learning measurement mitigation network network attacks servers test vulnerability