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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 391400 of 431 papers

TitleStatusHype
DeepSign: Deep Learning for Automatic Malware Signature Generation and ClassificationCode0
Automatic Malware Description via Attribute Tagging and Similarity EmbeddingCode0
Fast & Furious: Modelling Malware Detection as Evolving Data StreamsCode0
Crystal ball: From innovative attacks to attack effectiveness classifierCode0
Evaluating Explanation Methods for Deep Learning in SecurityCode0
Transfer Learning for Image-Based Malware ClassificationCode0
BagFlip: A Certified Defense against Data PoisoningCode0
Arhuaco: Deep Learning and Isolation Based Security for Distributed High-Throughput ComputingCode0
ALOHA: Auxiliary Loss Optimization for Hypothesis AugmentationCode0
Generating Adversarial Malware Examples for Black-Box Attacks Based on GANCode0
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