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Machine Learning Use Cases in Cybersecurity
2019
Proceedings of the Institute for System Programming of RAS
The problem regarding the use of machine learning in cybersecurity is difficult to solve because the advances in the field offer many opportunities that it is challenging to find exceptional and beneficial use cases for implementation and decision making. Moreover, such technologies can be used by intruders to attack computer systems. The goal of this paper to explore machine learning usage in cybersecurity and cyberattack and provide a model of machine learning-powered attack.
doi:10.15514/ispras-2019-31(5)-15
fatcat:dfnfslb4hffvrlmb65gkvrtrsm