Open AccessModeling and Predicting Cyber Hacking Breaches
Author(s) -
P. Swetha
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36168
Subject(s) - hacker , malware , computer science , data breach , computer security , set (abstract data type) , cyber attack , data science , data mining , programming language
Analyzing cyber incident information units is an essential approach for deepening our expertise in the evolution of the chance situation. This is an especially new study topic, and lots of research continue to be done. In this paper, we record a statistical evaluation of a breach incident records set similar to 12 years (2005–2017) of cyber hacking sports that encompass malware attacks. We display that, an evaluation of the findings stated withinside the literature, each hacking breach incident inter-arrival instances and breach sizes must be modeled through stochastic processes, instead of through distributions due to the fact they show off autocorrelations. Then, we recommend specific stochastic procedure fashions to, respectively, shape the inter-arrival instances and the breach sizes. We additionally display that those fashions can expect the inter-arrival instances and the breach sizes. In order to get deeper insights into the evolution of hacking breach incidents, we behaviour each qualitative and quantitative fashion analysis at the records set. We draw a fixed of cyber safety insights, together with that the chance of cyber hacks is certainly getting worse in phrases in their frequency, however now no longer in phrases of the value in their damage.