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 231240 of 431 papers

TitleStatusHype
Dynamic detection of mobile malware using smartphone data and machine learning0
Android Security using NLP Techniques: A Review0
Data Augmentation for Opcode Sequence Based Malware Detection0
Artificial Neural Network for Cybersecurity: A Comprehensive Review0
Evading Malware Classifiers via Monte Carlo Mutant Feature DiscoveryCode0
Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning0
Enhancing Robustness of Neural Networks through Fourier Stabilization0
Multi-Task Hierarchical Learning Based Network Traffic AnalyticsCode1
MalPhase: Fine-Grained Malware Detection Using Network Flow Data0
Learning Security Classifiers with Verified Global Robustness PropertiesCode1
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