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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 431 papers

TitleStatusHype
A Novel Approach to Malicious Code Detection Using CNN-BiLSTM and Feature Fusion—0
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsCode1
Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach—0
Accelerating Malware Classification: A Vision Transformer SolutionCode0
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples—0
A Visualized Malware Detection Framework with CNN and Conditional GAN—0
Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach—0
Revisiting Static Feature-Based Android Malware Detection—0
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
Show:102550
← PrevPage 6 of 44Next →

No leaderboard results yet.