Modeling And Predicting Cyber Hacking Breaches

Registration ID: IJNRD_181821

Published ID: IJNRD2206072

DOI: http://doi.one/10.1729/Journal.30690

Ranjit Patnaik Sekharamantri , GRANDHI AVINASH

Using cyber occurrence informational indexes, we can better understand the development of the danger situation. However, numerous investigations need to be completed. Using a break event informational collection (2005-2017), we compare it to 12 years of cyber hacking activities, including malware assaults, in this paper. As opposed to the findings of the writing, we demonstrate that both hacking break occurrence between appearance times and penetration sizes ought to be visualized by stochastic procedures instead of conveyances, since they show autocorrelations. In order to fit the appearance times and break sizes separately, we propose specific stochastic procedure models. We also demonstrate that these models can also predict the appearance times and penetration sizes in advance. Using the informational index, we conduct both subjective and quantitative pattern analyses in order to gain additional insight into hacking attacks. Although cyber hacking risks are declining in terms of their recurrence, they are not decreasing in terms of their impact on society. This is based on a number of cybersecurity experiences we draw from.

Published Paper   E-Certificate

Ranjit Patnaik Sekharamantri & GRANDHI AVINASH (June-2022). Modeling And Predicting Cyber Hacking Breaches. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(6), 635-638. http://doi.one/10.1729/Journal.30690

Volume 7 Issue 6, June-2022

Pages : 635-638

Paper Reg. ID: IJNRD_181821

Published Paper Id: IJNRD2206072

Downloads: 000121991

Research Area: Computer Science & Technology 

Country: Payakaraopeta, Andhra Pradesh, India

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Crossref DOI: http://doi.one/10.1729/Journal.30690

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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