Integration of Machine Learning with Cybersecurity: Applications and Challenges
Book Chapter
Das, S, Gangwani, P, Upadhyay, H. (2023). Integration of Machine Learning with Cybersecurity: Applications and Challenges
. 240 67-81. 10.1007/978-3-031-28581-3_7
Das, S, Gangwani, P, Upadhyay, H. (2023). Integration of Machine Learning with Cybersecurity: Applications and Challenges
. 240 67-81. 10.1007/978-3-031-28581-3_7
Machine learning (ML) has advanced from the lab to the forefront of operational systems in recent years. Machine learning is used by Facebook, Amazon, and Google every day to improve consumer experiences and purchases. Machine learning enables personal interactions and helps people connect socially with the use of new applications. The significant capability of machine learning is also present in cybersecurity. ML has become necessary in wide range of fields, also there are several cybersecurity implementations of ML. Some of them are malware analysis, particularly for zero-day “malware detection”, “threat analysis”, “anomaly-based intrusion detection” of typical attacks on sensitive infrastructures, and a variety of other applications.
