A Study: Use of Machine Learning for Cyber Security
Abstract: Machine learning is becoming prevalent in a variety of sectors, and machine learning algorithms are used in a variety of cyber secu-rity applications. Malware analysis, including zero - day malware detecting, risk evaluation, anomaly - based intrusion detection of common threats on critical systems, and other examples are just a few. Because signature - based methods are ineffective at detect-ing zero - day attacks or even slight modifications to existing attacks, researchers are employing machine learning (ML) - based identification in numerous security protocols. In this overview, we look at how machine learning is employed in several aspects of cyber - security. We also show how adversarial assaults on machine learning models can be used to change the data used to train and test models, rendering them useless.
Keywords: Cyber security, machine learning, intrusion detection, malware detection
How to Cite?: Nidhi Kataria Chawla, Monika Gaur, "A Study: Use of Machine Learning for Cyber Security", Volume 13 Issue 5, May 2024, International Journal of Science and Research (IJSR), Pages: 723-730, https://www.ijsr.net/getabstract.php?paperid=SR24509101002, DOI: https://dx.doi.org/10.21275/SR24509101002