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 151160 of 431 papers

TitleStatusHype
Adapting Novelty towards Generating Antigens for Antivirus systems0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms0
Machine Learning for Detecting Malware in PE Files0
Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic0
Android Malware Detection using Feature Ranking of Permissions0
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection0
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers0
Android Malware Detection using Deep Learning on API Method Sequences0
Adversarial Samples on Android Malware Detection Systems for IoT Systems0
Behavioral Malware Classification using Convolutional Recurrent Neural Networks0
Show:102550
← PrevPage 16 of 44Next →

No leaderboard results yet.