PS-IPS: Deploying Intrusion Prevention System with Machine Learning on Programmable Switch

DOI: 10.2139/ssrn.4440724 Publication Date: 2023-05-10T16:15:57Z
ABSTRACT
Intrusion prevention is significant to avoid device damage and financial losses. Researchers have proposed various Prevention Systems (IPS) prevent malware, including traditional SDN-based IPS. However, existing IPSs suffer from low throughput problems caused by detection rule-installation delays. Here, we propose a programmable switch-base IPS (named PS-IPS), which utilizes the switch CPU pipeline detect malware. PSIPS consists of four main components: (1) parser, (2) flow filter, (3) recirculation director, (4) malware detector. According experiment, achieves 183X than The response time also reduced 99.99%, showing that effectively prevents malware
with single switch.
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