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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

Showing 271280 of 431 papers

TitleStatusHype
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers0
Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic0
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors0
Dos and Don'ts of Machine Learning in Computer Security0
Against All Odds: Winning the Defense Challenge in an Evasion Competition with DiversificationCode1
Lightweight IoT Malware Detection Solution Using CNN Classification0
Data Augmentation Based Malware Detection using Convolutional Neural NetworksCode1
Orthrus: A Bimodal Learning Architecture for Malware ClassificationCode0
Dataset Optimization Strategies for MalwareTraffic DetectionCode1
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware DetectionCode1
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