July 14, 2022, 1:20 a.m. | Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

cs.CR updates on arXiv.org arxiv.org

The application of Artificial Intelligence (AI) and Machine Learning (ML) to
cybersecurity challenges has gained traction in industry and academia,
partially as a result of widespread malware attacks on critical systems such as
cloud infrastructures and government institutions. Intrusion Detection Systems
(IDS), using some forms of AI, have received widespread adoption due to their
ability to handle vast amounts of data with a high prediction accuracy. These
systems are hosted in the organizational Cyber Security Operation Center (CSoC)
as a …

challenges current detection ids intrusion intrusion detection survey systems

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