Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics. (arXiv:2312.17270v1 [cs.CR])

Machine learning and data mining techniques are utiized for enhancement of
the security of any network. Researchers used machine learning for pattern
detection, anomaly detection, dynamic policy setting, etc. The methods allow
the program to learn from data and make decisions without human intervention,
consuming a huge training period and computation power. This paper discusses a
novel technique to predict an upcoming attack in a network based on several
data parameters. The dataset is continuous in real-time implementation. The
proposed …

analytics anomaly detection attacks cyber data data analytics data mining detection dynamic etc learn machine machine learning mining network policy predict program researchers security study surveillance techniques