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 311–320 of 431 papers

TitleStatusHype
Malware Detection and Prevention using Artificial Intelligence Techniques—0
Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation—0
Malware Detection in Docker Containers: An Image is Worth a Thousand Logs—0
Malware Detection in IOT Systems Using Machine Learning Techniques—0
Malware Detection using Artificial Bee Colony Algorithm—0
Malware Detection Using Dynamic Birthmarks—0
Malware Detection using Machine Learning and Deep Learning—0
Malware Evasion Attack and Defense—0
Malware families discovery via Open-Set Recognition on Android manifest permissions—0
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection—0
Show:102550
← PrevPage 32 of 44Next →

No leaderboard results yet.