The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
A Survey of Malware Risk Detection Techniques in Cloud
Open accessAbstract
This article aims to contribute in securing information technology (IT) systems and processes for information security by utilizing malware risk detection for decision-making processes to mitigate cyber-attacks. It has potential to be a real threat to the businesses and industrial applications. The risk management is an essential component where it can present a new information security model for supporting decision making. The current ideologies such as the anti-virus, malware and firewalls detection and protection are proving to be ineffective as they were not specifically designed for multi-tenant cloud environments. Therefore, this article presents a survey of malware risk detection techniques in cloud. The survey was conducted on publications from Scopus from the last 5 years. The findings indicate the current malware detection techniques are not enough to effectively detect and protect the cloud environments.
Overview
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Claims other papers make about this one
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In the citing paper
“Moreover, the attacker may discover poorly configured identity authorization services, allowing them to launch a Phishing attack [106] to steal user credentials and access resources at the processing layer.”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [106]
Citations
Cites
Patil, R. S., Dudeja, H., & Modi, C. (2019) · International Journal of Information Security · doi:10.1007/s10207-019-00447-w · Cited by 46
Malware analysis in cloud computing: Network and system characteristics
Marnerides, A. K., Watson, M. R., Shirazi, S. N., Mauthe, A., & Hutchison, D. (2013) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2013.6825034 · Cited by 33
Survey of Machine Learning Techniques in Medical Imaging
Arasi, M. A. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/39852019 · Cited by 26
Automated generation of colluding apps for experimental research
Blasco, J., & Chen, T. (2017) · Journal of Computer Virology and Hacking Techniques · doi:10.1007/s11416-017-0296-4 · Cited by 23
Protocols for agent-based autonomous negotiations: A review
Adnan, M. H. M., Hassan, M. F., Aziz, I. A., et al. (2016) · doi:10.1109/iccoins.2016.7783287 · Cited by 21
Retrospective detection of malware attacks by cloud computing
Liu, S., & Chen, Y. (2010) · International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) · doi:10.1109/cyberc.2010.99 · Cited by 17
Flood, J., & Keane, A. (2012) · International Conference on Emerging Intelligent Data and Web Technologies · doi:10.1109/eidwt.2012.43 · Cited by 9
A Survey and Future Vision of Double Auctions-Based Autonomous Cloud Service Negotiations
Adnan, M. H. M., Hassan, M. F., Aziz, I. A., et al. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99007-1_46 · Cited by 7
Vulnerability Analysis using Network Timestamps in Full Virtualization Virtual Machine
Noorafiza, M., Maeda, H., Uda, R., et al. (2015) · International Conference on Information Systems Security and Privacy (ICISSP) · doi:10.5220/0005242000830089 · Cited by 6
Using Taint Analysis for Threat Risk of Cloud Applications
Wang, P., Chao, W.-J., Chao, K., et al. (2014) · IEEE International Conference on e-Business Engineering (ICEBE) · doi:10.1109/icebe.2014.40 · Cited by 5
Cited by
Sorted by citations
Eyeleko, A. H., & Feng, T. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3308195 · Cited by 38
“If Prime MotorX’s user devices have weak endpoint security management, the attacker can exploit this vulnerability to launch a Malware attack [106] and gain unauthorized access to the IIoT devices.”
Background
Metadata
- Authors
- Et.al, A. F. G.
- Corresponding author
- Et.al, Ahmad Faiz Ghazali
- Venue
- Turkish Journal of Computer and Mathematics Education (TURCOMAT)
- Publisher
- Ninety Nine Publication
- Published
- 2021-04-11
- Volume
- 12
- Issue
- 3
- Pages
- 868-876
- ISSN
- 1309-4653 (ISSN-L)
- OpenAlex
- W3156705018
- Cited by
- 2
- References
- 17
- Citations by year
- 2025: 1 · 2023: 1
- FWCI
- 0.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Türk bilgisayar ve matematik eğitimi dergisi (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Software › Advanced Malware Detection Techniques
- Physical Sciences › Computer Science › Hardware and Architecture › Security and Verification in Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- malware detection, cloud security, cyberattack mitigation, risk management, information security, antivirus limitations, firewall
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: A Survey of Malware Risk Detection Techniques in Cloud. https://app.cochat.ai/papers/10.17762/turcomat.v12i3.797
- The paper
- Et.al, A. F. G. (2021). A Survey of Malware Risk Detection Techniques in Cloud. Turkish Journal of Computer and Mathematics Education (TURCOMAT). https://doi.org/10.17762/turcomat.v12i3.797
