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Anomaly detection optimization using big data and deep learning to reduce false-positive. (arXiv:2209.13965v1 [cs.AI])
Sept. 29, 2022, 1:20 a.m. | Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki
cs.CR updates on arXiv.org arxiv.org
Anomaly-based Intrusion Detection System (IDS) has been a hot research topic
because of its ability to detect new threats rather than only memorized
signatures threats of signature-based IDS. Especially after the availability of
advanced technologies that increase the number of hacking tools and increase
the risk impact of an attack. The problem of any anomaly-based model is its
high false-positive rate. The high false-positive rate is the reason why
anomaly IDS is not commonly applied in practice. Because anomaly-based models …
anomaly detection big big data data deep learning detection optimization
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