Dynamic Analysis

Christodorescu, Mihai; Ganapathy, Vinod

doi:10.1007/978-1-4419-5906-5_836

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Literature Survey a Malware Detection1

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2024

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“…While researching computer hacking detection methods we have come to realize that there are 2 methods which are static analysis and dynamic analysis such as malware functionality [2] .Static analysis has revealed the facts about the system used by the compiler to ensure its accuracy. and effective translation from the source language to the target language [3].Dynamic analysis refers to large techniques that makes deduction based a code by noticing the runtime implementation conduct [4].…”

Section: Literature Survey a Malware Detectionmentioning

confidence: 99%

Malware Detection of Portable Executable Using Machine Learning and Neural Networks

Patil

2024

IJRASET

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Among the more well-known types of automatic detection technology, malware detection includes detection and protection methods against viruses caused by viruses, worms, Trojan horses, spyware, and various types of malicious code. Failure to find a malware program at its inception leaves a space where it will send a significant threat and value to online security not only for individuals, organizations but also the community and the nation. And it seems that antivirus software may fail to detect viruses if it is not updated on a website with an anti-virus engine. The great struggle is to find a new virus because when it encounters new malware behavior, it takes a series of steps based on established law. If the rule of law determines thatthe new behavior is safe the virus remains undetected.

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Section: Literature Survey a Malware Detectionmentioning

confidence: 99%

Malware Detection of Portable Executable Using Machine Learning and Neural Networks

Patil

2024

IJRASET

View full text Add to dashboard Cite

show abstract

Dynamic Analysis

Cited by 1 publication

References 5 publications

Malware Detection of Portable Executable Using Machine Learning and Neural Networks

Malware Detection of Portable Executable Using Machine Learning and Neural Networks

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