A Survey of Malware Risk Detection Techniques in Cloud
Year: 2021
Type: article
Abstract: 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.
Author: Ahmad Faiz Ghazali Et.al
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3156705018