A COMPREHENSIVE SURVEY OF CYBER SECURITY SPECIFIC TO CYBER DEFENCE AND DIGITAL FORENSICS
Keywords:
Cyber Security, Cyber Crimes, Security Information And Event Management, FORENSICS And Cyber Security PredictionAbstract
The major goal of this research is to decipher the language used in discussions on cyber security. Cyber security has been discussed, but only as an afterthought. With an ever-increasing number of crimes, threats, and security-related issues, such as terrorism, taking place in cyber space, it is therefore crucial that India examine this issue from a national security perspective. It is also crucial to know that today's key industries, whether public or private, rely heavily on information and communication technologies. If this infrastructure were to be attacked in cyberspace, the country would likely collapse. As a result, it's more important than ever to assess our nation's level of preparedness in the face of a potential cyber threat to national security. This study gives a review of the many approaches to prediction and forecasting in the field of cyber security. Methods using discrete models, including attack graphs, Bayesian networks, and Markov models, are contrasted and compared with those using incessant models, like time series and grey models, in this overview. We also talk about machine learning and data mining techniques, which have received a lot of care recently and seem to hold promise for cyber security's dynamic and unpredictable landscape. The study also analyzes difficulties in evaluating the methodologies and their actual applicability. The purpose of this study is to compare and contrast several UEBA technologies and discuss how well they can detect network assaults in real time. This study comparations and contrasts the fifteen most popular UEBA systems, focusing on practical applications and capabilities. Recommendations will be made on the basis of the available evidence.
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