Anomaly detection optimization using big data and deep learning to reduce false-positive. (arXiv:2209.13965v1 [cs.AI])

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 anomaly detection arxiv big big data data deep learning detection false false-positive optimization positive reduce