Cybersecurity Risk Detection and Assessment of Availability and Confidentiality Attacks in Stock Markets

The computerization of stock markets has greatly improved trading efficiency but, at the same time, brought exposures to cyberattacks. This paper discusses two most important categories of cyberattacks in stock markets: Availability Attacks and Confidentiality Attacks. Whereas availability attacks cause an impairment in the normal functioning of markets, confidentiality attacks compromise sensitive financial information. This research assesses the trend of these attacks through mathematical modeling and experimental verification with AI-based detection methods. A model for risk assessment is envisioned in order to measure and prioritize threats by their severity to effectively develop mitigation strategies. The results ensure investor confidence and business resilience by identifying the strengths and weaknesses of different detection methods.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-08-14
DOI
https://doi.org/10.71097/ijsat.v16.i3.7750
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity Risk Detection and Assessment of Availability and Confidentiality Attacks in Stock Markets

Malathy Sathyamoorthy, R J Anandhi
International Journal on Science and Technology
Economic and Technological Systems Analysis
article

Cybersecurity Risk Detection and Assessment of Availability and Confidentiality Attacks in Stock Markets

Malathy Sathyamoorthy, R J Anandhi
article en

Abstract

The computerization of stock markets has greatly improved trading efficiency but, at the same time, brought exposures to cyberattacks. This paper discusses two most important categories of cyberattacks in stock markets: Availability Attacks and Confidentiality Attacks. Whereas availability attacks cause an impairment in the normal functioning of markets, confidentiality attacks compromise sensitive financial information. This research assesses the trend of these attacks through mathematical modeling and experimental verification with AI-based detection methods. A model for risk assessment is envisioned in order to measure and prioritize threats by their severity to effectively develop mitigation strategies. The results ensure investor confidence and business resilience by identifying the strengths and weaknesses of different detection methods.

International Journal on Science and TechnologyVol. 16(3)
Openalex Percentile: Top 70%
Economic and Technological Systems Analysis
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