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ACCENTS Transactions on Information Security (TIS)

ISSN (Print):XXXX    ISSN (Online):2455-7196
Volume-7 Issue-25 January-2022
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Paper Title : Cybersecurity data science and threats: an overview from machine learning perspective
Author Name : Shivam Priyadarshi and M. Adil Hashmi
Abstract :

Cybersecurity has become a significant threat to all operations in the modern world. Due to the continuous development of information and communication (ICT) technologies, the efficiency of machine operation has been improved. Therefore, extracting the pattern of a security incident from the cybersecurity and corresponding data-driven model is the primary element to make an automated security system. To analyse and understand the actual phenomena, different machine learning methods, systems and processes are used. This work also sheds light on how the security system and measures can be improved and maintained by bringing innovation in technology and upgrading the power systems. An example of cybersecurity risks in power systems is the two simultaneous malicious attacks that occurred in 2015 and 2016. Besides, in the IT and healthcare industry, the number of cyberattacks is increasing daily, increasing the cost of data breaches. The distribution of cyberattacks across different countries is discussed in this research. Additionally, issues of cyber physical system (CPS) and its impacts on human society have also been inspected in the work following.

Keywords : Cybersecurity, Cyber physical systems, Machine learning, Information and communication.
Cite this article : Priyadarshi S, Hashmi MA. Cybersecurity data science and threats: an overview from machine learning perspective . ACCENTS Transactions on Information Security. 2022; 7 (25): 1-8. DOI:10.19101/TIS.2021.621013.
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