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 291–300 of 431 papers

TitleStatusHype
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware—0
The Curious Case of Machine Learning In Malware Detection—0
The Efficacy of Transformer-based Adversarial Attacks in Security Domains—0
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes—0
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks—0
The State-of-the-Art in AI-Based Malware Detection Techniques: A Review—0
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey—0
Towards Accurate Labeling of Android Apps for Reliable Malware Detection—0
Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning—0
Towards an in-depth detection of malware using distributed QCNN—0
Show:102550
← PrevPage 30 of 44Next →

No leaderboard results yet.