
Cyber risk management: Theories, frameworks, models, and practices
Vol 3, Issue 1, 2025
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Abstract
Cyber risks have been a major concern even if more advanced technologies have been used to deter or mitigate cyberattacks. Much research has been conducted in the areas of cyber risks and cybersecurity. Handling cyber risks needs the specific support of the theories, frameworks, and models of cyber risk management. This paper introduces theories for managing cyber risks, frameworks for handling cyber risks, models for managing cyber risks, and cyber risk management and practices. Cyber risk management and threat intelligence provide their technologies and standards. Healthcare organizations must provide robust cybersecurity procedures. Big data analytics, artificial intelligence (AI)/machine learning (ML)/deep learning (DL), etc., have thus far offered significant advances in cybersecurity for healthcare agencies. This paper will also present a case study of managing cyber risks, which will demonstrate how successful these theories, frameworks, models, and practices have been in healthcare. This paper is not a more in-depth qualitative or quantitative analysis but focuses on identifying, justifying, and describing certain key issues regarding cyber risks.
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Copyright (c) 2025 Author(s)
License URL: https://creativecommons.org/licenses/by/4.0/

Prof. Maode Ma
Qatar University, Qatar
The field of computer and telecommunications engineering is rapidly advancing, with the following being some of the latest developments.
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We are pleased to congratulate the first anniversiry of the journal of Computer and Telecommunication Engineering (CTE).
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Owing to the tireless dedication of the editor-in-chief, editorial board members, and the in-house editorial team, we are proud to announce the successful online launch of the first issue of Computer and Telecommunication Engineering.
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