With an overwhelming amount of data being generated and transferred over various
networks, cybersecurity experts are having a hard time in monitoring everything that gets
exchanged and identifying potential cyberthreats and attacks. As cyberattacks are becoming
more frequent and sophisticated, there is a requirement for machines to predict, detect, and
identify cyberattacks at a faster rate. Machine learning offers various tools and techniques to
automate and quickly predict, detect, and identify cyberattacks. This book introduces various …

Abstract Machine Learning is one of the effective responses to trivial attacks, starting with the
Internet Protocol traffic classification and the filtering of mistreatment traffic for intrusion
detection. The latest study is being conducted out using traffic data and Machine Learning
techniques. This article presents a study of the literature on machine learning and its uses in
online-based data security frameworks for malware prevention, labeling, and utilization like
email filtering. Each approach has been defined and synthesized based on the significance …