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Malware Detection with Artificial Intelligence: A Systematic Literature Review

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-62582-5openalex-snapshot

Malware Analysis Using Artificial Intelligence and Deep Learning

inferredcites →https://doi.org/10.1007/978-3-319-60876-1_4openalex-snapshot

Measuring and Defeating Anti-Instrumentation-Equipped Malware

inferredcites →https://doi.org/10.1007/s10723-020-09510-6openalex-snapshot

Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis

inferredcites →https://doi.org/10.1007/s11042-022-12615-7openalex-snapshot

S-DCNN: stacked deep convolutional neural networks for malware classification

inferredcites →https://doi.org/10.1007/s40745-019-00237-0openalex-snapshot

Deep Learning: Hope or Hype

inferredcites →https://doi.org/10.1016/j.comnet.2020.107138openalex-snapshot

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

inferredcites →https://doi.org/10.1016/j.cose.2018.02.006openalex-snapshot

Auto-detection of sophisticated malware using lazy-binding control flow graph and deep learning

inferredcites →https://doi.org/10.1016/j.cose.2018.05.010openalex-snapshot

Early-stage malware prediction using recurrent neural networks

inferredcites →https://doi.org/10.1016/j.cose.2018.11.001openalex-snapshot

Survey of machine learning techniques for malware analysis

inferredcites →https://doi.org/10.1016/j.cose.2019.04.018openalex-snapshot

A cost analysis of machine learning using dynamic runtime opcodes for malware detection

inferredcites →https://doi.org/10.1016/j.cose.2019.07.002openalex-snapshot

Design of a mathematical model for the Stuxnet virus in a network of critical control infrastructure

inferredcites →https://doi.org/10.1016/j.cose.2020.101760openalex-snapshot

A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence

inferredcites →https://doi.org/10.1016/j.cose.2020.101895openalex-snapshot

Multiclass malware classification via first- and second-order texture statistics

inferredcites →https://doi.org/10.1016/j.cose.2020.102159openalex-snapshot

Auditing static machine learning anti-Malware tools against metamorphic attacks

inferredcites →https://doi.org/10.1016/j.cose.2021.102202openalex-snapshot

Feature analysis for data-driven APT-related malware discrimination

inferredcites →https://doi.org/10.1016/j.cose.2021.102396openalex-snapshot

Rationality constraints in cyber defense: Incident handling, attribution and cyber threat intelligence

inferredcites →https://doi.org/10.1016/j.cose.2021.102514openalex-snapshot

FCSCNN: Feature centralized Siamese CNN-based android malware identification

inferredcites →https://doi.org/10.1016/j.cose.2021.102550openalex-snapshot

A Systematical and longitudinal study of evasive behaviors in windows malware

inferredcites →https://doi.org/10.1016/j.cose.2022.102627openalex-snapshot

Orchestration of APT malware evasive manoeuvers employed for eluding anti-virus and sandbox defense

inferredcites →https://doi.org/10.1016/j.cose.2022.102845openalex-snapshot

Multi-labeling of complex, multi-behavioral malware samples

inferredcites →https://doi.org/10.1016/j.diin.2017.06.007openalex-snapshot

Insights gained from constructing a large scale dynamic analysis platform

inferredcites →https://doi.org/10.1016/j.eswa.2022.118073openalex-snapshot

Identification of malware families using stacking of textural features and machine learning

inferredcites →https://doi.org/10.1016/j.fsidi.2021.301314openalex-snapshot

RanSAP: An open dataset of ransomware storage access patterns for training machine learning models

inferredcites →https://doi.org/10.1016/j.infsof.2020.106273openalex-snapshot

Detection of malicious software by analyzing the behavioral artifacts using machine learning algorithms

inferredcites →https://doi.org/10.1016/j.ins.2020.08.082openalex-snapshot

AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification

inferredcites →https://doi.org/10.1016/j.jisa.2022.103202openalex-snapshot

Bane or Boon: Measuring the effect of evasive malware on system call classifiers

inferredcites →https://doi.org/10.1016/j.jnca.2019.102526openalex-snapshot

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

inferredcites →https://doi.org/10.1016/j.jpdc.2020.03.012openalex-snapshot

MalFCS: An effective malware classification framework with automated feature extraction based on deep convolutional neural networks

inferredcites →https://doi.org/10.1016/j.knosys.2021.107095openalex-snapshot

Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments

inferredcites →https://doi.org/10.1038/s41598-022-19443-7openalex-snapshot

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

inferredcites →https://doi.org/10.1109/access.2019.2906934openalex-snapshot

Robust Intelligent Malware Detection Using Deep Learning

inferredcites →https://doi.org/10.1109/access.2019.2963724openalex-snapshot

A Comprehensive Review on Malware Detection Approaches

inferredcites →https://doi.org/10.1109/access.2020.2970466openalex-snapshot

Avoiding Future Digital Extortion Through Robust Protection Against Ransomware Threats Using Deep Learning Based Adaptive Approaches

inferredcites →https://doi.org/10.1109/access.2020.2984187openalex-snapshot

Open Repository for the Evaluation of Ransomware Detection Tools

inferredcites →https://doi.org/10.1109/access.2020.3003785openalex-snapshot

A Digital DNA Sequencing Engine for Ransomware Detection Using Machine Learning

inferredcites →https://doi.org/10.1109/access.2020.3008081openalex-snapshot

A Two-Layer Deep Learning Method for Android Malware Detection Using Network Traffic

inferredcites →https://doi.org/10.1109/access.2020.3019658openalex-snapshot

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning

inferredcites →https://doi.org/10.1109/access.2020.3041951openalex-snapshot

A Survey on Machine Learning Techniques for Cyber Security in the Last Decade

inferredcites →https://doi.org/10.1109/access.2020.3048319openalex-snapshot

Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

inferredcites →https://doi.org/10.1109/access.2021.3089586openalex-snapshot

A New Malware Classification Framework Based on Deep Learning Algorithms

inferredcites →https://doi.org/10.1109/access.2022.3165809openalex-snapshot

Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

inferredcites →https://doi.org/10.1109/access.2022.3190978openalex-snapshot

Large-Scale Analysis on Anti-Analysis Techniques in Real-World Malware

inferredcites →https://doi.org/10.1109/access.2022.3191790openalex-snapshot

Artificial Intelligence Crime: An Overview of Malicious Use and Abuse of AI

inferredcites →https://doi.org/10.1109/access.2023.3300381openalex-snapshot

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

inferredcites →https://doi.org/10.1109/aicaps57044.2023.10074588openalex-snapshot

Malware Detection using Dynamic Analysis

inferredcites →https://doi.org/10.1109/aict52784.2021.9620415openalex-snapshot

Techniques of Malware Detection: Research Review

inferredcites →https://doi.org/10.1109/dsn.2008.4630086openalex-snapshot

Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware

inferredcites →https://doi.org/10.1109/icdis.2018.00019openalex-snapshot

Community Finding of Malware and Exploit Vendors on Darkweb Marketplaces

inferredcites →https://doi.org/10.1109/icwt55831.2022.9935463openalex-snapshot

Self-Supervised Learning Implementation for Malware Detection

inferredcites →https://doi.org/10.1109/infoct.2019.8711324openalex-snapshot

On the Top Threats to Cyber Systems

inferredcites →https://doi.org/10.1109/mitp.2021.3100177openalex-snapshot

Economics of Artificial Intelligence in Cybersecurity

inferredcites →https://doi.org/10.1109/noms56928.2023.10154293openalex-snapshot

SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis

inferredcites →https://doi.org/10.1109/spw53761.2021.00020openalex-snapshot

BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware

inferredcites →https://doi.org/10.1109/tdsc.2018.2801858openalex-snapshot

EnsembleHMD: Accurate Hardware Malware Detectors with Specialized Ensemble Classifiers

inferredcites →https://doi.org/10.1109/tifs.2018.2866319openalex-snapshot

A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

inferredcites →https://doi.org/10.1109/tifs.2020.3025436openalex-snapshot

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

inferredcites →https://doi.org/10.1109/tnsm.2019.2927886openalex-snapshot

A Hybrid Deep Learning-Based Model for Anomaly Detection in Cloud Datacenter Networks

inferredcites →https://doi.org/10.1109/tnsm.2021.3112056openalex-snapshot

On Ransomware Family Attribution Using Pre-Attack Paranoia Activities

inferredcites →https://doi.org/10.1145/3073559openalex-snapshot

A Survey on Malware Detection Using Data Mining Techniques

inferredcites →https://doi.org/10.1145/3319535.3363267openalex-snapshot

Data Quality for Security Challenges

inferredcites →https://doi.org/10.1145/3321705.3329819openalex-snapshot

SoK

inferredcites →https://doi.org/10.1145/3329786openalex-snapshot

Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

inferredcites →https://doi.org/10.1145/3359789.3359835openalex-snapshot

Neurlux

inferredcites →https://doi.org/10.1145/3372823openalex-snapshot

The AI-Based Cyber Threat Landscape

inferredcites →https://doi.org/10.1145/3374135.3385270openalex-snapshot

AI-Powered GUI Attack and Its Defensive Methods

inferredcites →https://doi.org/10.1145/3480463openalex-snapshot

Evasion and Countermeasures Techniques to Detect Dynamic Binary Instrumentation Frameworks

inferredcites →https://doi.org/10.1145/3545574openalex-snapshot

The Role of Machine Learning in Cybersecurity

inferredcites →https://doi.org/10.1145/3564625.3567985openalex-snapshot

Transformer-Based Language Models for Software Vulnerability Detection

inferredcites →https://doi.org/10.1145/3579375.3579377openalex-snapshot

Early Detection of Ransomware Activity based on Hardware Performance Counters

inferredcites →https://doi.org/10.1155/2015/659101openalex-snapshot

A Novel Approach to Detect Malware Based on API Call Sequence Analysis

inferredcites →https://doi.org/10.12968/s1353-4858(22)70049-9openalex-snapshot

IBM: Cost of a Data Breach

inferredcites →https://doi.org/10.13164/mendel.2019.2.027openalex-snapshot

A Survey on Artificial Intelligence in Malware as Next-Generation Threats

inferredcites →https://doi.org/10.1587/transinf.2021edp7067openalex-snapshot

Performance Comparison of Training Datasets for System Call-Based Malware Detection with Thread Information

inferredcites →https://doi.org/10.23919/cycon.2018.8405026openalex-snapshot

On the effectiveness of machine and deep learning for cyber security

inferredcites →https://doi.org/10.23919/splitech55088.2022.9854268openalex-snapshot

A Systematic Review of 2021 Microsoft Exchange Data Breach Exploiting Multiple Vulnerabilities

inferredcites →https://doi.org/10.3390/sym13010035openalex-snapshot

Automatic Malicious Code Classification System through Static Analysis Using Machine Learning

inferredcites →https://doi.org/10.4316/aece.2019.02003openalex-snapshot

Automatic Detection and Bypassing of Anti-Debugging Techniques for Microsoft Windows Environments

inferredcites →https://doi.org/10.48550/arxiv.1804.04637openalex-snapshot

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

inferredcites →https://doi.org/10.5220/0007470705280535openalex-snapshot

The Curious Case of Machine Learning in Malware Detection

inferredcites →https://doi.org/10.7717/peerj-cs.361openalex-snapshot

On the classification of Microsoft-Windows ransomware using hardware profile

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781394303601.ch17openalex-snapshot

Artificial Intelligence for Malware Analysis

inferred← citeshttps://doi.org/10.1007/978-3-031-87772-8_25openalex-snapshot

A Hybrid Machine Learning Method for Detecting Metamorphic Malware

inferred← citeshttps://doi.org/10.1007/978-3-031-89350-6_8openalex-snapshot

On the Properness of Large Language Models for Malware Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-94937-1_31openalex-snapshot

Analyzing the Practical Efficacy of Modern AI in Malware Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-98036-7_9openalex-snapshot

PAMDAC: Platform-Agnostic Malware Detection and Classification Based on Binary Features

inferred← citeshttps://doi.org/10.1007/978-3-032-08649-5_25openalex-snapshot

Designing Interpretable AI Models with Lightweight Parallelism for Real-Time Malware Detection and Prevention

inferred← citeshttps://doi.org/10.1007/978-3-032-09423-0_1openalex-snapshot

Why Is Cyber Espionage One of the Top Threats to Australia’s National Security?

inferred← citeshttps://doi.org/10.1007/978-3-032-16038-6_9openalex-snapshot

DeepXDetect: Real-Time Sandbox Malware Detection with Explainable AI

inferred← citeshttps://doi.org/10.1007/978-3-032-19684-2_18openalex-snapshot

Malware Detection of Static Signatures Using a Filter Feature Selection and Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1007/978-3-032-24360-7_8openalex-snapshot

Comprehensive Analysis of Machine Learning and Ensemble Models for Malicious URL Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-32023-0_14openalex-snapshot

Machine Learning Transferability for Malware Detection

inferred← citeshttps://doi.org/10.1007/978-981-92-0263-8_35openalex-snapshot

Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data

inferred← citeshttps://doi.org/10.1007/978-981-95-2196-8_33openalex-snapshot

Performance Analysis of Quantum Machine Learning for Malware Detection

inferred← citeshttps://doi.org/10.1007/978-981-97-7371-8_21openalex-snapshot

Android Malware Detection Using Learning Techniques: A Review

inferred← citeshttps://doi.org/10.1007/s10207-026-01234-0openalex-snapshot

A hybrid machine learning intrusion detection method for metamorphic malware

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Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection

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Enhancing financial decision-making under cyber threats: a dual-branch framework integrating bayesian deep learning and explainable AI

inferred← citeshttps://doi.org/10.1007/s10586-026-06412-2openalex-snapshot

Malicious JavaScript detection using machine learning: a survey of taxonomy, trends, and open challenges

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Operationalising responsible AI in the military domain: a context-specific assessment

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An Ensemble technique for imbalanced multiclass malware classification by leveraging API call semantics

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A deep learning-based approach for stegomalware sanitization in digital images

inferred← citeshttps://doi.org/10.1007/s11416-025-00567-zopenalex-snapshot

Multiscale and Kolmogorov entropies as effective features for malware detection

inferred← citeshttps://doi.org/10.1007/s13748-026-00473-5openalex-snapshot

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

inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108148openalex-snapshot

Analysis of attack-defense game for advanced malware propagation control in cloud

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109498openalex-snapshot

Application layer security for Internet communications: A comprehensive review, challenges, and future trends

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110751openalex-snapshot

Zero day malware detection with Alpha: Fast DBI with Transformer models for real world application

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111184openalex-snapshot

Secure autonomous cyber defense with LLM agents: A systematic review of autonomy, tool-augmented reasoning, and governance constraints

inferred← citeshttps://doi.org/10.1016/j.cose.2024.103842openalex-snapshot

Explainability in AI-based behavioral malware detection systems

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104031openalex-snapshot

BD-MDLC: Behavior description-based enhanced malware detection for windows environment using longformer classifier

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104167openalex-snapshot

Zero day ransomware detection with Pulse: Function classification with Transformer models and assembly language

inferred← citeshttps://doi.org/10.1016/j.cose.2025.104441openalex-snapshot

Power-ASTNN: A deobfuscation and AST neural network enabled effective detection method for malicious PowerShell Scripts

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114995openalex-snapshot

Unknown malware detection model based on genetic evolutionary strategy

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134586openalex-snapshot

Cross-environment AI-based malware detection: A systematic review of Android applications, IoT ecosystems, and windows PE executables

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108019openalex-snapshot

xPriMES: Explainable reinforcement learning-guided mutation strategy with dual-environment interaction for evading black-box malware detectors

inferred← citeshttps://doi.org/10.1016/j.jisa.2026.104407openalex-snapshot

Adaptive malware detection using sequential feature selection: A dueling double deep Q-Network framework for intelligent classification

inferred← citeshttps://doi.org/10.1016/j.jisa.2026.104429openalex-snapshot

Multi-modal malware classification with hierarchical consistency and saliency-constrained adversarial training

inferred← citeshttps://doi.org/10.1016/j.jnca.2026.104579openalex-snapshot

MetaMalDet: A few-shot class-incremental meta-learning framework for malware detection

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112431openalex-snapshot

MidLog: An automated log anomaly detection method based on multi-head GRU

inferred← citeshttps://doi.org/10.1017/dap.2025.18openalex-snapshot

Disinformation by design: leveraging solutions to combat misinformation in the Philippines’ 2025 election

inferred← citeshttps://doi.org/10.1038/s41598-026-37614-8openalex-snapshot

A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach

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Blockchain architecture-based malware attack detection using web monitoring model with structure learning in behavioural artifacts analysis

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Evasion of Malware Classifiers by Injecting Category-Specific Benign Features

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Leveraging the Power of Zero-Shot Learning for Malware Detection Using Application Programming Interface Call Sequences

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Evaluating Cyber Threat Intelligence: Accuracy, Completeness, Relevance, and Freshness

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MalQwen: Fine Tuned LLM for Static Android Malware Analysis Report

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Harnessing Artificial Intelligence for Data Preprocessing to Improve Malware Detection Accuracy

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SAND: A Self-supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection

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A Machine Learning Framework For Efficient Malware Detection and Classification

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Deep Learning Approach for Malicious URL Detection using CNN, RNN, LSTM and Bi-LSTM models

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FORTUNATE: Decrypting and Classifying Malware by Variable Length Instruction Sequences

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IoT - FedMalDetect: Federated Learning Based Malware Detection for IoT Edge Devices

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A Survey on Semantic Communication Networks: Architecture, Security, and Privacy

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Graph-Based Modelling and Prediction of Adversary Behaviour from Honeypot Traces

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Malware Detection and Analysis Using LLMs: A Review of Emerging Trends and Techniques

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AI-Driven Cyber Threat Detection Systems: A Survey on Techniques and Applications

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Robust Image based Malware Detection using MobileNet and Multilayer Perceptron model

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Fileless and AI-Powered Memory Malware Forensics: a Panoramic Detection Architecture With Machine Learning and Deep Learning Enhanced Volatility and Rekall Analysis

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Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification

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Agentic AI For Self-Evolving Malware Defense In Develops Security Automation In Battery Cell Manufacturing Driven Business

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Detecting Semantic Anomalies in URL Request Sequences Using Fine-Tuned BERT

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An Explainable Hybrid Self-Attention–Enhanced Deep Neural Network for Malware Detection

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Artificial Intelligence-Based Dataset Optimization to Strengthen Malware Classification Frameworks

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A Dynamic Malware Detection Algorithm for Enhanced Security in Sandbox Environments

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Improving Cyber Threat Intelligence Analysis Using Supervised Machine Learning Models: A Comprehensive Statistical Evaluation

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Application of Machine Learning Algorithms for Cybersecurity: Detection and Classification of Malware, DDoS, and Phishing Attacks

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Building Reliable AI Systems: A Framework That Bridges Architecture and Operations

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Malware Deep Analysis and Network Security Defense Mechanism Based on Multimodal Data Fusion

inferred← citeshttps://doi.org/10.1109/iscon65210.2025.11341109openalex-snapshot

Computer Malware Infections & their Prevention on Computer Users by AI Inspired Algorithm

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Multimodal Transformer-Based Malware Classification Using Binary Visualization and Opcode Sequences

inferred← citeshttps://doi.org/10.1109/jiot.2024.3507746openalex-snapshot

Exploring the Synergy: AI Enhancing Blockchain, Blockchain Empowering AI, and Their Convergence Across IoT Applications and Beyond

inferred← citeshttps://doi.org/10.1109/nana66698.2025.00053openalex-snapshot

Multimodal Malware Detection via Quadruple Classification with Static, Dynamic, and Memory Features

inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11063848openalex-snapshot

Android Malicious Code Detection Strategy Based on Deep Learning

inferred← citeshttps://doi.org/10.1109/tce.2025.3620226openalex-snapshot

Optimized Attention Assisted Network for Forensic-Aware Malware Detection in Consumer Electronics

inferred← citeshttps://doi.org/10.1109/tdsc.2025.3599004openalex-snapshot

Prompt Engineering-Assisted Malware Dynamic Analysis Using GPT-4

inferred← citeshttps://doi.org/10.1109/tdsc.2025.3627810openalex-snapshot

Multi-View Few-Shot Malware Classification With Support-Query Prototypes

inferred← citeshttps://doi.org/10.1109/tensymp61132.2024.10752108openalex-snapshot

Enhancing Malware Detection Through Convolutional Neural Networks and Explainable AI

inferred← citeshttps://doi.org/10.1109/tnse.2025.3627147openalex-snapshot

MalCAFF: A Cross Attention-Based Feature Fusion Framework for Malware Classification

inferred← citeshttps://doi.org/10.1109/tnsm.2026.3699408openalex-snapshot

Reliable Interpretations of Deep Learning-Based Malware Detectors via Deep Q-Networks

inferred← citeshttps://doi.org/10.1109/wifs66636.2025.00010openalex-snapshot

Seeing Malware Differently: A Novel Signal-Based Graph and Image Approach to Detection

inferred← citeshttps://doi.org/10.1145/3732365.3732410openalex-snapshot

A Survey of Machine Learning Approaches for Malware Detec-tion

inferred← citeshttps://doi.org/10.1145/3748522.3779810openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3764580openalex-snapshot

Memory Analysis for Malware Detection: A Comprehensive Survey Using the OSCAR Methodology

inferred← citeshttps://doi.org/10.1145/3774905.3794679openalex-snapshot

Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning–Based Ransomware Detection

inferred← citeshttps://doi.org/10.1145/3797132openalex-snapshot

Flash: Query-Efficient Black-Box Static Malware Evasion through Transferable GAN-Guided Modification Sequences

inferred← citeshttps://doi.org/10.1145/3799692openalex-snapshot

Resilient Dynamic Analysis for Windows Malware Technique Discovery against Behavior Obfuscation

inferred← citeshttps://doi.org/10.1145/3800506.3803487openalex-snapshot

VSMEx: A Collection Tool and a Dataset of Malicious VS Code Extensions: Data/Toolset Paper

inferred← citeshttps://doi.org/10.1145/3832783.3837492openalex-snapshot

RAVEN: Measuring Detection Instability in Anti-virus Engines under Semantics-Preserving Perturbations

inferred← citeshttps://doi.org/10.1177/01423312241288307openalex-snapshot

Replay attack detection based on smooth watermarking and encoding and decoding

inferred← citeshttps://doi.org/10.1515/9783111712895-001openalex-snapshot

1Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age

inferred← citeshttps://doi.org/10.17759/mda.2026160101openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.5135152openalex-snapshot

Impact of Machine Learning and AI on Cybersecurity Risks and Opportunities

inferred← citeshttps://doi.org/10.2139/ssrn.6202682openalex-snapshot

Dynamic Features for Robust Malware Detection: A Systematic Review, Taxonomy, and Practical Analysis Framework

inferred← citeshttps://doi.org/10.23919/icact68090.2026.11431473openalex-snapshot

Evaluating a Novel Voting System for Malware Dataset Curation with Siamese Networks

inferred← citeshttps://doi.org/10.23919/ist-africa67297.2025.11060472openalex-snapshot

Exploring Organizational Resilience Towards AI-Driven Cyber Threats: A Systematic Literature Review

inferred← citeshttps://doi.org/10.32604/cmes.2025.067738openalex-snapshot

Large Language Models for Effective Detection of Algorithmically Generated Domains: A Comprehensive Review

inferred← citeshttps://doi.org/10.33411/ijist/1613openalex-snapshot

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inferred← citeshttps://doi.org/10.3389/fcomp.2026.1762332openalex-snapshot

Explainable AI: enhancing decision-making in the detection of cyber threats

inferred← citeshttps://doi.org/10.3390/a19050345openalex-snapshot

Antivirus Systems: Detection Methods and Architectures

inferred← citeshttps://doi.org/10.3390/app14209548openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app15126690openalex-snapshot

Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT

inferred← citeshttps://doi.org/10.3390/app152111635openalex-snapshot

Multimodal Deep Learning Fusion for Accurate and Explainable Malware Family Classification

inferred← citeshttps://doi.org/10.3390/asi9030049openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/bdcc9020027openalex-snapshot

Application of Symbolic Classifiers and Multi-Ensemble Threshold Techniques for Android Malware Detection

inferred← citeshttps://doi.org/10.3390/cmsf2026013009openalex-snapshot

DSGCNN-DA: A Deep Stacked Graph Convolutional Neural Network with Dynamic Aggregation for Malware Behavioral Learning

inferred← citeshttps://doi.org/10.3390/electronics13234677openalex-snapshot

Survey of Transformer-Based Malicious Software Detection Systems

inferred← citeshttps://doi.org/10.3390/engproc2025107078openalex-snapshot

Recent Advancements in Machine Learning Models for Malware Detection: A Systematic Literature Review

inferred← citeshttps://doi.org/10.3390/info15100631openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/jcp5040087openalex-snapshot

The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions

inferred← citeshttps://doi.org/10.3390/math12244009openalex-snapshot

A Lightweight Malware Detection Model Based on Knowledge Distillation

inferred← citeshttps://doi.org/10.3390/s25020374openalex-snapshot

MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network

inferred← citeshttps://doi.org/10.3390/s25030670openalex-snapshot

MINDPRES: A Hybrid Prototype System for Comprehensive Data Protection in the User Layer of the Mobile Cloud

inferred← citeshttps://doi.org/10.3390/technologies13040145openalex-snapshot

AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm

inferred← citeshttps://doi.org/10.35940/ijeat.a4531.14011024openalex-snapshot

Malware Detection Using Artificial Intelligence: Techniques, Research Issues and Future Directions

inferred← citeshttps://doi.org/10.4018/979-8-2600-2278-8.ch003openalex-snapshot

Artificial Intelligence and Cybercrime Policing in Africa

inferred← citeshttps://doi.org/10.4018/979-8-3693-7036-0.ch014openalex-snapshot

The Convergence of Artificial Intelligence and Cybersecurity

inferred← citeshttps://doi.org/10.48084/etasr.10784openalex-snapshot

A Hybrid CNN-Transformer Approach for Predicting Attack Severity in Electronic Health Monitoring Systems to Strengthen Cybersecurity

inferred← citeshttps://doi.org/10.48084/etasr.17500openalex-snapshot

Toward Robust Malware Detection: A Survey of Datasets, Techniques, and Practical Challenges

inferred← citeshttps://doi.org/10.55267/rtic/16176openalex-snapshot

Enhancing Proactive Cyber Defense: A Theoretical Framework for AI-Driven Predictive Cyber Threat Intelligence

inferred← citeshttps://doi.org/10.5753/errc.2024.4688openalex-snapshot

Viés Avaliativo e Generalização Comprometida: O Impacto de Amostras Idênticas em Datasets de Malware Android

inferred← citeshttps://doi.org/10.5753/jisa.2025.4905openalex-snapshot

Lightweight Malware Classification with FORTUNATE: Precision Meets Computational Efficiency

inferred← citeshttps://doi.org/10.5753/jisa.2025.5054openalex-snapshot

FORENSICS: Deciphering and Detecting Malware Through Variable-Length Instruction Sequences

inferred← citeshttps://doi.org/10.7717/peerj-cs.2752openalex-snapshot

Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection

inferred← citeshttps://doi.org/10.7717/peerj-cs.3902openalex-snapshot

Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods

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