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

Showing 371380 of 431 papers

TitleStatusHype
Deep learning at the shallow end: Malware classification for non-domain expertsCode0
Robust Neural Malware Detection Models for Emulation Sequence LearningCode0
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus0
SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)0
On the Effectiveness of System API-Related Information for Android Ransomware Detection0
Is feature selection secure against training data poisoning?0
Semantic Adversarial Deep Learning0
Clipping free attacks against artificial neural networks0
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection0
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep LearningCode0
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