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Dynamic Extraction of Initial Behavior for Evasive Malware Detection

https://doi.org/10.3390/math11020416

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Systematical and longitudinal study of evasive behaviors in windows malware

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Multinomial malware classification via low-level features

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Scarecrow: Deactivating Evasive Malware via Its Own Evasive Logic

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Comparative Analysis of Android Malware Detection Using Deep Learning

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Advancements in Malware Evasion: Analysis Detection and the Future Role of AI

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Machine intelligence approaches for preventing adversarial malware attacks in intrusion detection systems: A systematic review

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In-Memory Malware Evasion and Analysis: A Comprehensive Survey

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A Dynamic Analysis Approach Using CAPEv2 Sandbox for Malware Detection

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SGWeS: A Framework to Safeguard Web Servers from PDF Malware Attacks

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A Dynamic Malware Detection Method Based on an Evasive API Weighting Algorithm

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An Evaluation of Current Malware Trends and Defense Techniques: A Scoping Review with Empirical Case Studies

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A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique

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Machine Learning and Transformers for Malware Analysis: Overview

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Deep learning-powered malware detection in cyberspace: a contemporary review

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Targeting Monoamine Oxidase B for the Treatment of Alzheimer’s and Parkinson’s Diseases Using Novel Inhibitors Identified Using an Integrated Approach of Machine Learning and Computer-Aided Drug Design

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Lightweight and Robust Malware Detection Using Dictionaries of API Calls

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Optimized Malware Detection Framework Using Principal Components Analysis

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A Kullback-Liebler divergence-based representation algorithm for malware detection

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