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Malware Detection

Malware Detection is a significant part of endpoint security including workstations, servers, cloud instances, and mobile devices. Malware Detection is used to detect and identify malicious activities caused by malware. With the increase in the variety of malware activities on CMS based websites such as malicious malware redirects on WordPress site (Aka, WordPress Malware Redirect Hack) where the site redirects to spam, being the most widespread, the need for automatic detection and classifier amplifies as well. The signature-based Malware Detection system is commonly used for existing malware that has a signature but it is not suitable for unknown malware or zero-day malware

Source: The Threat of Adversarial Attacks on Machine Learning in Network Security - A Survey

Papers

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Showing 281–290 of 431 papers

TitleStatusHype
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features—0
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines—0
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!—0
Arms Race in Adversarial Malware Detection: A Survey—0
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus—0
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection—0
Strategic Planning for Network Data Analysis—0
Support Vector Machines under Adversarial Label Contamination—0
Survey of Malware Analysis through Control Flow Graph using Machine Learning—0
System Calls for Malware Detection and Classification: Methodologies and Applications—0
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