Copyright : © the author(s), publisher and licensee Technoscience Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non- commercial use, distribution, and reproduction in any medium, provided the original work is properly cited International Journal of Scientific Research in Science, Engineering and Technology Print ISSN: 2395-1990 | Online ISSN : 2394-4099 (www.ijsrset.com) doi : https://doi.org/10.32628/IJSRSET207443 170 Predicting and Analysis of Phishing Attacks and Breaches In E-Commerce Websites N. Ram Mohan 1 , N. Praveen Kumar 2 1 M. Tech Scholar Department of CSE, NRI Institute of Technology Visadala (V&M), Guntur(Dt), Andhra Pradesh, India 2 Assistant Professor Department of CSE, NRI Institute of Technology Visadala (V&M), Guntur(Dt), Andhra Pradesh, India Article Info Volume 7 Issue 4 Page Number : 170-175 Publication Issue : July-August-2020 Article History Accepted : 01 Aug 2020 Published : 05 Aug 2020 ABSTRACT Analyzing cyber incident data sets is an important method for deepening our understanding of the evolution of the threat situation. This is a relatively new research topic, and many studies remain to be done. In this paper, I reported a statistical analysis of a breach incident data set corresponding to 12 years (2005–2017) of cyber hacking activities that include malware attacks. I shown that, in contrast to the findings reported in the literature, both hacking breach incident inter-arrival times and breach sizes should be modeled by stochastic processes, rather than by distributions because they exhibit autocorrelations. Then, I proposed a particular stochastic process models to, respectively, fit the inter-arrival times and the breach sizes. I also shown that these models can predict the inter-arrival times and the breach sizes. In order to get deeper insights into the evolution of hacking breach incidents, we conduct both qualitative and quantitative trend analyses on the data set. I drew a set of cyber security insights, including that the threat of cyber hacks is indeed getting worse in terms of their frequency, but not in terms of the magnitude of their damage. Keywords: Hacking, Cyber-Attacks, Cyber Threats, Breach Prediction, Times Series, Cybersecurity Data Analytics. I. INTRODUCTION Data breaching is an act of disseminating the highly sensitive data which are intended to be kept secret. Disclosing the data to the unsecured domain either with a motive or unintentionally. It occurs when the third-party or an unauthorized individual tries to steal or access the data which may comprises of top secrets, company shares, transaction details or legal information. There are different types of data breaching which includes phishing, denial of service attack, malware and exfiltration. From time to time we hear about several companies and industries announcing that their systems have been breached. This might happen by illegal action of the intruders.