Blockchain-Based Data Breach Detection: Approaches, Challenges, and Future Directions

Kainat Ansar, Mansoor Ahmed, Markus Helfert and Jungsuk Kim ()
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Kainat Ansar: Department of Computer Science, COMSATS University, Islamabad 44000, Pakistan
Mansoor Ahmed: Department of Computer Science, COMSATS University, Islamabad 44000, Pakistan
Markus Helfert: ADAPT Centre, Innovation Value Institute, Maynooth University, W23 F2H6 Maynooth, Ireland
Jungsuk Kim: Department of Biomedical Engineering, College of IT Convergence, Gachon University, Sujeong-gu, Seongnam-si 13120, Republic of Korea

Mathematics, 2023, vol. 12, issue 1, 1-21

Abstract: In cybersecurity, personal data breaches have become one of the significant issues. This fact indicates that data breaches require unique detection systems, techniques, and solutions, which necessitate the potential to facilitate precise and quick data breach detection. Various research works on data breach detection and related areas in dealing with this problem have been proposed. Several survey studies have been conducted to comprehend insider data breaches better. However, these works did not examine techniques related to blockchain and innovative smart contract technologies to detect data breaches. In this survey, we examine blockchain-based data breach detection mechanisms developed so far to deal with data breach detection. We compare blockchain-based data breach detection techniques based on type, platform, smart contracts, consensus algorithm language/tool, and evaluation measures. We also present a taxonomy of contemporary data breach types. We conclude our study by outlining existing methodologies’ issues, offering ideas for overcoming those challenges, and pointing the way forward.

Keywords: data breach detection; data leak detection; blockchain; distributed ledgers (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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