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 331340 of 431 papers

TitleStatusHype
Intelligent Systems Design for Malware Classification Under Adversarial Conditions0
A Neural-based Program Decompiler0
A New Malware Detection System Using a High Performance-ELM method0
Multitask Learning for Network Traffic ClassificationCode0
Evaluating Explanation Methods for Deep Learning in SecurityCode0
Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning0
The Curious Case of Machine Learning In Malware Detection0
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware DetectionCode1
Automatic Malware Description via Attribute Tagging and Similarity EmbeddingCode0
Distinguishability of Adversarial Examples0
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