Organizational data breach: Building conscious care behavior in incident response

Teoh, Adlyn Adam and Ghani, Norjihan Binti Abdul and Ahmad, Muneer and Jhanjhi, Nz and Alzain, Mohammed A. and Masud, Mehedi (2022) Organizational data breach: Building conscious care behavior in incident response. Computer Systems Science and Engineering, 40 (2). pp. 505-515. ISSN 0267-6192, DOI https://doi.org/10.32604/csse.2022.018468.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Organizational and end user data breaches are highly implicated by the role of information security conscious care behavior in respective incident responses. This research study draws upon the literature in the areas of information security, incident response, theory of planned behaviour, and protection motivation theory to expand and empirically validate a modified framework of information security conscious care behaviour formation. The applicability of the theoretical framework is shown through a case study labelled as a cyber-attack of unprecedented scale and sophistication in Singapore's history to-date, the 2018 SingHealth data breach. The single in-depth case study observed information security awareness, policy, experience, attitude, subjective norms, perceived behavioral control, threat appraisal and self-efficacy as emerging prominently in the framework's applicability in incident handling. The data analysis did not support threat severity relationship with conscious care behaviour. The findings from the above-mentioned observations are presented as possible key drivers in the shaping information security conscious care behaviour in real-world cyber incident management. © 2021 CRL Publishing. All rights reserved.

Item Type: Article
Funders: [TURSP-2020/98]
Uncontrolled Keywords: End user computing;Organizational behavior;Incident response;Data breach;Computer emergency response team;Cyber-attack
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Zaharah Ramly
Date Deposited: 28 Oct 2022 06:38
Last Modified: 28 Oct 2022 06:38
URI: http://eprints.um.edu.my/id/eprint/35739

Actions (login required)

View Item View Item