Journal of Machine and Computing

Evaluation of the Cyber Security Risk Models (CSRM) in Cloud Computing

Journal of Machine and Computing

Received On : 30 January 2022

Revised On : 25 March 2022

Accepted On : 18 May 2022

Published On : 05 July 2022

Volume 02, Issue 03

Pages : 124-133


Many devices in the Internet of Things (IoT) ecosystem may be susceptible to cyberattacks due to their diverse nature and lack of standardization. Resource-constrained IoT devices include sensor nodes, smart gadgets, and wearable devices. An organization's RAP (Risk Assessment Process) integrates the evaluation of hazards that are linked to all its resources, as well as the evaluation and prioritization of these risks. It is crucial to begin the risk management process with an accurate and thorough risk assessment. The Cyber Security Risk Models (CSRMs) in Cloud Computing are examined in this research. To understand the uniqueness of IoT systems and why present risk assessment methodologies for IoT are ineffective, it is necessary to understand the current state of risk assessment for IoT. There are constraints to periodic evaluations IoT due to device interoperability. Continuous testing of IoT solutions is thus essential.


Internet of Things (IoT), Cyber Security Risk Models (CSRM), Risk Assessment Process (RAP), Confidentiality, Integrity, Availability (CIA).

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Cite this article

Hossein Anisi, “Evaluation of the Cyber Security Risk Models (CSRM) in Cloud Computing”, Journal of Machine and Computing, vol.2, no.3, pp. 124-133, July 2022. doi: 10.53759/7669/jmc202202017.


© 2022 Hossein Anisi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.