Lost host detection technology based on big data algorithm
A detection technology and big data technology, which is applied in the field of failed host detection based on big data algorithms, and can solve problems such as inability to protect against targeted special attacks, inability to correlate judgments, false positives and false negatives by security equipment
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[0016] The present invention will be described in detail below with reference to the accompanying drawings. The detailed examples described are only a part of the present invention and are not intended to limit the present invention.
[0017] Step S1: Based on intermittent connection analysis, upstream and downstream traffic abnormality analysis, covert channel analysis, port abnormality analysis, server active outreach behavior analysis, suspicious domain name analysis, traffic abnormality analysis, DNS-based botnet detection, Netflow-based botnet Detect the needs of 9 algorithm models, extract Netflow, Http, Dns traffic, and do feature engineering preprocessing of the algorithm model for these traffic.
[0018] Build a real local area network environment, artificially attack the local area network or plant certain viruses such as zombies, Trojans, worms, etc. The extracted information includes IP address information, port information, traffic size, protocol type, dns domain ...
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