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 321330 of 431 papers

TitleStatusHype
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment0
WebEye - Automated Collection of Malicious HTTP Traffic0
Word Embedding Techniques for Malware Evolution Detection0
Would a File by Any Other Name Seem as Malicious?0
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions0
XAI and Android Malware Models0
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection0
Machine Learning for Detecting Malware in PE Files0
Network Threat Detection: Addressing Class Imbalanced Data with Deep Forest0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms0
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