LEARNING AND UNDERSTANDING MALWARE BEHAVIOR ANALYSIS TOOLS
Analysts can also derive the built-in behavior details. They cover the whole behavior space of the malware samples. There have been a few works concentrating on malware analysis tools. Yet, such research has been a long way from being mature. No overviews did explore major improvements and difficulties.
The complexity and quantity of malware samples have increased in recent years. Recent malware samples appear to be less typical and modular. This improvement is the result of the presence of malware behavior analysis tools. Also, with the reuse of various malware modules. The circumstance has turned out to be serious. There is an expansion of open source technology. In response, there is an urgent need to encourage new malware behavior analysis tools. This is to describe and identify malware variants.
Dynamic methodologies extract behavioral data. It executes the sample in a virtual environment. It then dissects the malware behavior based on logging behavior data. Malware behavior analysis tools give an instinctive comprehension of malware behavior. Malware behavior analysis tools help analysts understand the expectations behind the behavior. It also analyzes trends in behavioral advancement. Over the long haul, analysts have focused on malware behavior analysis tools. They want it to improve efficiency and detection accuracy.
Most malware behavior analysis tools depend on system call traces. It breaks down the malicious practices of malware samples. The comprehension of malware behavior analysis tools is twofold. There is behavior analysis using dynamic behavior information. Also, behavior analysis using static behavior information. The two types of behavioral data are the premise of malware behavior analysis tools. They are useful for the understanding of malware behaviors. Also, they are important for behavior-based malware identification.
Malware behavior analysis tools aim to address three questions:
(1) How will you describe malware behavior information?
(2) How are malware samples distinguished and grouped using this behavior information?
(3) What sorts of malicious behavior can malware samples do?
Thus, the main contributions of related works include behavior data extraction and expression. It likewise includes behavior-based malware identification and malware behavior analysis tools. Behavior visualization is an essential piece of malware behavior analysis tools. It is helpful in assisting the behavior analysis procedure. It understands the behavior analysis results.
Malware behavior analysis tools are essential measures in security response to malware threats. There are many investigations for malware behavior analysis tools. More efforts are still expected to understand the mechanisms in malware behavior.
Analysts aim to provide insight into the status of malware behavior analysis tools. They have performed complete reviews of the latest malware behavior analysis tools. It demonstrates the advantages and disadvantages of existing analysis methods.
Additionally, analysts have discovered a few challenges and deficiencies. There are also several possible answers to address the present inadequacies. It is important to understand the patterns and qualities of different malware behaviors. Through that, analysts can promote the improvement of productivity.
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