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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

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Showing 281–290 of 431 papers

TitleStatusHype
Is feature selection secure against training data poisoning?—0
Knowledge Engineering for Planning-Based Hypothesis Generation—0
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning—0
LAMD: Context-driven Android Malware Detection and Classification with LLMs—0
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering—0
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection—0
Learning Temporal Invariance in Android Malware Detectors—0
Learning to Search for Fast Maximum Common Subgraph Detection—0
Leveraging LSTM and GAN for Modern Malware Detection—0
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints—0
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