Crucial Role of Data Analytics in the Prevention and Detection of Cyber Security Attacks
B. S. Charulatha, A. Neela Madheswari, Shanthi K., Chamundeswari Arumugam · Advances in digital crime, forensics, and cyber terrorism book series · 2020
Data analytics plays a major role in retrieving relevant information in addition to avoiding unwanted data, missed values, good visualization and interpretation, decision making in any business, or social needs. Many organizations are affected by cyber-attacks in their business at a greater frequency when they get exposure to the internet. Cyber-attacks are plenty, and tracking them is really difficult work. The entry of cyber-attack may be through different events in the business process. Detecting the attack is laborious and collecting the data is still a hard task. The detection of the source of attack for the various events in the business process as well as the tracking the corresponding data needs an investigation procedure. This chapter concentrates on applying machine learning algorithms to study the user behavior in the process to detect network anomalies. The data from KDD'99 data set is collected and analyzed using decision tree, isolation forest, bagging classifier, and Adaboost classifier algorithms.