With this background, this paper analyzes attack scenarios based on attack cases by malicious code, and surveys and analyzes attack techniques used in attack cases.
#Malware used runonly avoid detection five code#
Based on the results of the analysis, we classify and analyze malicious code detection techniques into security management systems, pattern-based detection, heuristic-based detection, reputation-based detection, behavior-based detection, virtualization-based detection, anomaly detection, data analysis-based detection (big data-based, machine learning-based), and others. This paper is expected to serve as a useful reference for detecting and preventing malicious codes. Specifically, this article is a surveyed review article. The APT (Advanced Persistent Threat) attack refers to a specific designation of security threat created by the U.S. Air Force Command in 2006 to facilitate smooth communication with government agencies. It is a type of global hacking attack in which a specific company or organization is targeted it is a threat to certain protected targets that takes the form of a stealthy and continuous attack.
In contrast to conventional cyber hacking attacks, an APT attack is characterized by an intelligent and continuous threat. The National Institute of Standards and Technology (NIST) has defined an APT attack as “a cyberattack that uses a considerable amount of expertise and resources, and creates opportunities with various attack methods to achieve specific goals ”.
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