SOTAVerified

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 311–320 of 431 papers

TitleStatusHype
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples—0
Coda: An End-to-End Neural Program Decompiler—0
DL-Droid: Deep learning based android malware detection using real devices—0
Classification with Costly Features in Hierarchical Deep SetsCode0
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks—0
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey—0
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes—0
Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection TechniqueCode0
Heterogeneous Graph Matching Networks—0
Would a File by Any Other Name Seem as Malicious?—0
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