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Explainable Artificial Intelligence in CyberSecurity: A Survey

https://doi.org/10.1109/access.2022.3204171

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

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Deep Learning for Android Malware Defenses: A Systematic Literature Review

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Use of Data Visualisation for Zero-Day Malware Detection

inferredcites →https://doi.org/10.1155/2018/4678746openalex-snapshot

Web Phishing Detection Using a Deep Learning Framework

inferredcites →https://doi.org/10.1155/2019/8195395openalex-snapshot

Malware Detection Based on Deep Learning of Behavior Graphs

inferredcites →https://doi.org/10.1155/2021/5538896openalex-snapshot

Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models

inferredcites →https://doi.org/10.1162/dint_a_00119openalex-snapshot

Provenance documentation to enable explainable and trustworthy AI: A literature review

inferredcites →https://doi.org/10.1186/s13677-020-00206-6openalex-snapshot

Multi-level host-based intrusion detection system for Internet of things

inferredcites →https://doi.org/10.1186/s40537-020-00318-5openalex-snapshot

Cybersecurity data science: an overview from machine learning perspective

inferredcites →https://doi.org/10.13140/rg.2.2.34695.91045openalex-snapshot

Microsoft Malware Classification Challenge

inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-snapshot

Drebin: Effective and Explainable Detection of Android Malware in Your Pocket

inferredcites →https://doi.org/10.14778/3494124.3494128openalex-snapshot

xFraud

inferredcites →https://doi.org/10.1609/aaai.v32i1.11491openalex-snapshot

Anchors: High-Precision Model-Agnostic Explanations

inferredcites →https://doi.org/10.1631/fitee.1700808openalex-snapshot

Visual interpretability for deep learning: a survey

inferredcites →https://doi.org/10.1631/fitee.1800573openalex-snapshot

Cyber security meets artificial intelligence: a survey

inferredcites →https://doi.org/10.18178/ijmlc.2020.10.2.937openalex-snapshot

Hybrid Email Spam Detection Model Using Artificial Intelligence

inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-snapshot

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

inferredcites →https://doi.org/10.2172/1878725openalex-snapshot

Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection.

inferredcites →https://doi.org/10.22214/ijraset.2022.40072openalex-snapshot

The Review of Artificial Intelligence in Cyber Security

inferredcites →https://doi.org/10.2352/ei.2022.34.4.mwsf-324openalex-snapshot

Forensic data model for artificial intelligence based media forensics - Illustrated on the example of DeepFake detection

inferredcites →https://doi.org/10.23919/eusipco.2018.8553598openalex-snapshot

Explaining Black-box Android Malware Detection

inferredcites →https://doi.org/10.23919/icact53585.2022.9728897openalex-snapshot

Explainable Malware Detection Using Predefined Network Flow

inferredcites →https://doi.org/10.23919/icact53585.2022.9728968openalex-snapshot

Dynamic Voting based Explainable Intrusion Detection System for In-vehicle Network

inferredcites →https://doi.org/10.23919/icitst51030.2020.9351333openalex-snapshot

Malware Detection by Eating a Whole APK

inferredcites →https://doi.org/10.26483/ijarcs.v9i0.6149openalex-snapshot

APPLICATION OF ARTIFICIAL INTELLIGENCE IN FIGHTING AGAINST CYBER CRIMES: A REVIEW

inferredcites →https://doi.org/10.30880/jscdm.2021.02.02.002openalex-snapshot

A Review on Cybersecurity based on Machine Learning and Deep Learning Algorithms

inferredcites →https://doi.org/10.3390/app11125458openalex-snapshot

A Survey on Machine-Learning Based Security Design for Cyber-Physical Systems

inferredcites →https://doi.org/10.3390/app11157147openalex-snapshot

Predicting Success of Outbound Telemarketing in Insurance Policy Loans Using an Explainable Multiple-Filter Convolutional Neural Network

inferredcites →https://doi.org/10.3390/app11219857openalex-snapshot

Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection

inferredcites →https://doi.org/10.3390/app12031353openalex-snapshot

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

inferredcites →https://doi.org/10.3390/e23010018openalex-snapshot

Explainable AI: A Review of Machine Learning Interpretability Methods

inferredcites →https://doi.org/10.3390/electronics10091104openalex-snapshot

Memory-Efficient Deep Learning for Botnet Attack Detection in IoT Networks

inferredcites →https://doi.org/10.3390/electronics8080832openalex-snapshot

Machine Learning Interpretability: A Survey on Methods and Metrics

inferredcites →https://doi.org/10.3390/electronics9101689openalex-snapshot

A Machine Learning Based Two-Stage Wi-Fi Network Intrusion Detection System

inferredcites →https://doi.org/10.3390/en13102509openalex-snapshot

Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity

inferredcites →https://doi.org/10.3390/info10040122openalex-snapshot

A Survey of Deep Learning Methods for Cyber Security

inferredcites →https://doi.org/10.3390/jcp2010006openalex-snapshot

A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention

inferredcites →https://doi.org/10.3390/make3030032openalex-snapshot

Classification of Explainable Artificial Intelligence Methods through Their Output Formats

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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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Intellectual Structure of Explainable Artificial Intelligence: A Bibliometric Reference to Research Constituents

inferred← citeshttps://doi.org/10.2139/ssrn.4687831openalex-extracted

Artificial Intelligence in Cyber Security

inferred← citeshttps://doi.org/10.2139/ssrn.4790045openalex-extracted

Explaining Explainable Ai, with Applications to Phishing Detection

inferred← citeshttps://doi.org/10.2139/ssrn.5140447openalex-extracted

Explainable AI for Threat Intelligence and Incident Response

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The Role of Artificial Intelligence in Cybersecurity

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Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies

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Explainable machine learning for phishing feature detection

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Evaluating Rule-Based Global XAI Malware Detection Methods

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Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems

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Propaganda Detection Robustness Through Adversarial Attacks Driven by eXplainable AI

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Impact of Artificial Intelligence on Enterprise Information Security Management in the Context of ISO 27001 and 27002: A Tertiary Systematic Review and Comparative Analysis

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AI-Enhanced Cybersecurity: A Comprehensive Review of Techniques and Challenges

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Exploring AI’s Prowess in Advancing Cybersecurity

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Approaching the Current State of the Art of the Use of Artificial Intelligence in Cybersecurity

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Beyond the Black Box: XAI Strategies for Safeguarding Critical Infrastructure

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A Conceptual Framework to Leverage Heuristics for Effective Human-Machine Collaboration in Incident Handling

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Enhanced Malicious URL Detection Through Feature Significance Analysis

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Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics

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Leveraging Artificial Intelligence for Enhanced Cybersecurity: Opportunities and Challenges

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Enhancing Data Security and Privacy Using Federated Learning: A Scalable Framework for Distributed Systems

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Transforming Healthcare with Natural Language Processing

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Demystifying Phishing Detection: Using Explainable AI to Identify Suspicious Email Features

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An Explainable Deep Learning Framework for Suspicious Activity Recognition and Person Identification in Video Surveillance

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From Artificial Intelligence to Artificial General Intelligence: A Paradigm Shift in Cybersecurity Defense

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Explainable AI-Driven Intrusion Detection Framework for Sustainable and Trustworthy IoT Ecosystems

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Cybersecurity Specialists’ Perspectives on the Use of Generative AI in Professional Practice

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Integrating Explainable AI Into Cybersecurity Operations Centers for Intelligent Threat Detection and Response

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Designing TrustShieldGov: A Sociotechnical Approach to Mitigating Human-Related Ransomware Risk in Local Governments

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Ethical Considerations in Deploying AI for Cyber Resilience to Manage Security and Privacy

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A Systematic Review on Cyber Security Forensics: An AI-Driven Approach

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Decoding Explainable AI: A Critical Review of Emerging Techniques, Key Challenges, and Future Pathways

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An assessment framework for explainable AI with applications to cybersecurity

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L-xaids: A LIME-based eXplainable AI framework for intrusion detection systems

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A secure aggregation scheme for DFL based on chain-based cryptographic verification

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Reliability auditing of explanations for machine-learning-based intrusion detection systems

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XAI-driven Data Mining for Self-defending IoT Systems: Enhancing Cybersecurity Transparency in the Age of Smart Cities

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Advanced AI-Driven Cybersecurity: Analyzing Emerging Threats and Defensive Strategies

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On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

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Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks

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Operational lifecycle of interpretable multi-plane intrusion detection in 5G networks

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The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review

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Classification of the difficulty of a climbing route using the transformation of representation spaces and cascading classifier ensemble (CCE)

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Explainable artificial intelligence models in intrusion detection systems

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XAI-CF — Examining the role of explainable artificial intelligence in cyber forensics

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A comprehensive analysis of explainable AI-driven machine learning techniques for network intrusion detection systems

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Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects

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A comprehensive review of explainable AI in cybersecurity: Decoding the black box

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Interpretability research of deep learning: A literature survey

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Interpretable research of fuzzy methods: A literature survey

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Detecting cyberthreats in Metaverse learning platforms using an explainable DNN

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An explainable ensemble learning approach for financial fraud detection: Integrating SHAP and LIME on the PaySim dataset

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An analysis of ensemble pruning methods under the explanation of Random Forest

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XAI in cybersecurity: A survey on techniques, challenges, and future directions

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Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

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Internet of Things botnets: A survey on Artificial Intelligence based detection techniques

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Towards understanding the behavior of image-based network intrusion detection systems

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Cross-dataset zero-shot IoT attack detection using a hybrid CNN–BiLSTM + attention framework with explainable AI

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Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

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Enhancing Disease Prediction in Healthcare through Explainable AI in Clinical Decision Support Systems

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Smishing risk assessment using RAG and its potential for pedagogical recontextualization for cybersecurity education

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When Clinical and Metabolomics Data Work Together: A Comparative Framework for Multimodal Disease Classification across Machine and Deep Learning

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MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata

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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments

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Privacy preserving blockchain integrated explainable artificial intelligence with two tier optimization for cyber threat detection and mitigation in the internet of things

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Beyond Structural Equation Modeling: A Complementary ML-XAI Approach to Predicting and Interpreting Phishing Security Behavior

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REINFENSE: semantic intent violation detection and mitigation in intent-driven industrial software-defined networks

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Efficient and explainable intrusion detection for the internet of things using modified-LSTM and HTM-inspired sparse CNN with federated learning

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Systematization of human-centered continuous audit for IoT security compliance

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The Uses of Artificial Intelligence in Cybersecurity: Opportunities and Challenges

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Modeling students’ email security behavior toward phishing threats using PMT for gamified cybersecurity awareness design

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Zero trust in cybersecurity: managing critical challenges for effective implementation

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E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection

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Machine Learning With Computer Networks: Techniques, Datasets, and Models

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Explainable AI for Cyber-Physical Systems: Issues and Challenges

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The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users

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Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges

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Efficient and Standardized Alarm Rationalization for Cybersecurity Monitoring

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XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI

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A Survey of Data Stream-Based Intrusion Detection Systems

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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions

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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks

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Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment

inferred← citeshttps://doi.org/10.1109/access.2025.3631529openalex-snapshot

CryptojackGuard: A Multi-Modal Framework for Proactive Cryptojacking Detection and Mitigation

inferred← citeshttps://doi.org/10.1109/access.2026.3663161openalex-snapshot

Explainable Artificial Intelligence (XAI): Concepts, Applications, Challenges, and Future Perspectives

inferred← citeshttps://doi.org/10.1109/aiotcs58181.2022.00091openalex-snapshot

Simulation System of Digital Media 3D Art Design Based on Artificial Intelligence

inferred← citeshttps://doi.org/10.1109/apcit65661.2025.11410611openalex-snapshot

Detecting Social Engineering Attacks Using TinyBERT and Explainable AI Techniques

inferred← citeshttps://doi.org/10.1109/apwimob67231.2025.11269122openalex-snapshot

Web Technologies Security in the AI Era: A Survey of CDN-Enhanced Defenses

inferred← citeshttps://doi.org/10.1109/bdai70753.2026.11655165openalex-snapshot

Explainable Graph-Based Threat Attribution and Root-Cause Analysis

inferred← citeshttps://doi.org/10.1109/c2i659362.2023.10431155openalex-snapshot

Fighting Insurance Fraud with Hybrid AI/ML Models: Discuss the Potential for Combining Approaches for Improved Insurance Fraud Detection

inferred← citeshttps://doi.org/10.1109/ccgridw69005.2026.00019openalex-snapshot

AI-Enhanced CTI for SOCs: Practitioner Priorities from a Multi-Sector Survey

inferred← citeshttps://doi.org/10.1109/ccic68129.2026.11486131openalex-snapshot

A Dynamic AI-Powered Cyber Range for Cybersecurity Awareness and Skill Testing

inferred← citeshttps://doi.org/10.1109/ccnc51664.2024.10454752openalex-snapshot

A Study of AI-Based In-Vehicle Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/comst.2023.3280465openalex-snapshot

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions

inferred← citeshttps://doi.org/10.1109/comst.2023.3299519openalex-snapshot

A Survey on Threat Hunting in Enterprise Networks

inferred← citeshttps://doi.org/10.1109/comst.2024.3442475openalex-snapshot

Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities

inferred← citeshttps://doi.org/10.1109/comst.2024.3504955openalex-snapshot

A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection

inferred← citeshttps://doi.org/10.1109/csr61664.2024.10679401openalex-snapshot

Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation

inferred← citeshttps://doi.org/10.1109/cyber-ai66431.2025.11233720openalex-snapshot

Optimized Detection of SQL Injection Attacks Using Machine Learning: Enhancing Accuracy and Explainability in Cybersecurity

inferred← citeshttps://doi.org/10.1109/etaact69135.2026.11541709openalex-snapshot

An Explainable Deep Learning Framework for Real-Time Zero-Day Intrusion Detection

inferred← citeshttps://doi.org/10.1109/eurospw61312.2024.00067openalex-snapshot

Position: The Explainability Paradox - Challenges for XAI in Malware Detection and Analysis

inferred← citeshttps://doi.org/10.1109/eurospw72509.2026.00035openalex-snapshot

Cybersecurity is the True Frontier for Generative AI Success or Failure

inferred← citeshttps://doi.org/10.1109/fuzz52849.2023.10309785openalex-snapshot

An Explainable Intrusion Detection System for IoT Networks

inferred← citeshttps://doi.org/10.1109/i5cps67958.2026.11452282openalex-snapshot

A Multi-Protocol, Explainable AI-Based Framework for Real-Time IoT Forensics

inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324170openalex-snapshot

Analyzing the Role of LIME and SHAP in Explainable DoS Attack Detection for IoT Systems

inferred← citeshttps://doi.org/10.1109/icaic67076.2026.11395766openalex-snapshot

Explainable AI for Cloud Intrusion Detection: A User Study of SHAP and LIME in AWS GuardDuty

inferred← citeshttps://doi.org/10.1109/icaiic60209.2024.10463374openalex-snapshot

Bit-by-Bit: A Quantization-Aware Training Framework with XAI for Robust Metaverse Cybersecurity

inferred← citeshttps://doi.org/10.1109/icaiic64266.2025.10920811openalex-snapshot

Enhancing Reasoning Capacity of SLM Using Cognitive Enhancement

inferred← citeshttps://doi.org/10.1109/icatc64549.2024.11025302openalex-snapshot

Explainable AI for Transparent Phishing Email Detection

inferred← citeshttps://doi.org/10.1109/icauc68182.2026.11441080openalex-snapshot

Adaptive AI-Driven Threat Intelligence Framework for Proactive Cyber Defense in Dynamic Network Environments

inferred← citeshttps://doi.org/10.1109/iccai65301.2025.11279387openalex-snapshot

Selection of the Best Model of Classic Machine Learning for Spam Detection in Short Message Services with CRISP-DM

inferred← citeshttps://doi.org/10.1109/iccbi68589.2026.11619897openalex-snapshot

Internet of Medical Things (IoMT)-Centric Threat Detection: Modeling Connected Medical Devices as Cyber Attack Surfaces

inferred← citeshttps://doi.org/10.1109/icccis60361.2023.10425069openalex-snapshot

Augmenting Cybersecurity and Fraud Detection Using Artificial Intelligence Advancements

inferred← citeshttps://doi.org/10.1109/iccece69715.2026.11493103openalex-snapshot

Transparent Intrusion Detection via Explainable LSTM–HMM Hybrid: SHAP and LIME-Based Interpretability

inferred← citeshttps://doi.org/10.1109/icces57224.2023.10192764openalex-snapshot

Enhancing Intrusion Prevention with Explainable Convolutional Neural Networks: Recent Developments and Promising Applications

inferred← citeshttps://doi.org/10.1109/iccnea70678.2026.11722053openalex-snapshot

A Robust Ensemble-Learning Framework for Intrusion Detection on CICIDS2017

inferred← citeshttps://doi.org/10.1109/iccosite57641.2023.10127717openalex-snapshot

Interpretability Vs Explainability: The Black Box of Machine Learning

inferred← citeshttps://doi.org/10.1109/iccsc71566.2026.11650398openalex-snapshot

A Strategic Framework for AI Integration in Cybersecurity Governance: The Moroccan Case

inferred← citeshttps://doi.org/10.1109/iccsdfai70505.2026.11647969openalex-snapshot

Interpretable Artificial Intelligence Models Based on Large Language Models for Web Application Vulnerability Detection and Security Analysis

inferred← citeshttps://doi.org/10.1109/iccst63435.2025.11293889openalex-snapshot

AI-Driven Digital Twin Framework for Security Threat Simulation and Compliance Optimization

inferred← citeshttps://doi.org/10.1109/icetisi67983.2025.11406019openalex-snapshot

Evaluating LIME-Based Explainability for Phishing URL Detection Across Multiple Machine Learning Models

inferred← citeshttps://doi.org/10.1109/ici60088.2023.10421550openalex-snapshot

Machine Learning Classifiers for Social Media Bots Detection on Twitter using Explainable AI

inferred← citeshttps://doi.org/10.1109/icict68280.2026.11510837openalex-snapshot

Explainable AI for Predicting and Understanding Teen Cyber Risks

inferred← citeshttps://doi.org/10.1109/icidca66325.2025.11280340openalex-snapshot

Counterfactual Explanations for Enhanced Interpretability in Cross-Site Scripting (XSS) Detection

inferred← citeshttps://doi.org/10.1109/icidca66325.2025.11280568openalex-snapshot

BERT-based Semantic Matching for Detecting Phishing URLs in Email Content

inferred← citeshttps://doi.org/10.1109/icitsi65188.2024.10929452openalex-snapshot

Systematic literature review on malware detection using Explainable Machine Learning (XAI)

inferred← citeshttps://doi.org/10.1109/ickecs56523.2022.10060405openalex-snapshot

Dynamic Simulation System of Financial Risk Based on Artificial Intelligence TVP-FAVAR Model

inferred← citeshttps://doi.org/10.1109/ickecs70176.2026.11528113openalex-snapshot

AI-Powered Cyber Defense Desktop Application with Real-Time Behavioral Analysis, Threat Intelligence

inferred← citeshttps://doi.org/10.1109/icmlant63295.2024.00015openalex-snapshot

AI -Driven Cryptographic Algorithm Identification: Exploring Methodologies and Practical Applications

inferred← citeshttps://doi.org/10.1109/icmnwc63764.2024.10872055openalex-snapshot

Artificial Intelligence Based Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/iconic67661.2026.11517615openalex-snapshot

Hybrid Naïve Bayes–ID3 Model for Phishing Classification Using Lexical and Behavioural Features

inferred← citeshttps://doi.org/10.1109/icrtcst68392.2026.11545448openalex-snapshot

A Comprehensive Review of Explainable AI Techniques for Cyber Threat Characterization in Network Traffic and System Logs

inferred← citeshttps://doi.org/10.1109/icscn67106.2025.11308245openalex-snapshot

Healthcare Security using Federated Learning and Explainable AI with Secure Aggregation

inferred← citeshttps://doi.org/10.1109/icscsa69367.2026.11708219openalex-snapshot

Bridging the Simulation-to-Emulation Gap in Autonomous Cyber Defence: A Hybrid PPO and LLM-Based Framework

inferred← citeshttps://doi.org/10.1109/icses63445.2024.10763115openalex-snapshot

A Comprehensive Review of Interpretability in AI and Its Implications for Trust in Critical Applications

inferred← citeshttps://doi.org/10.1109/icssit69151.2026.11656558openalex-snapshot

Performance and Explainability of Open-Weight Large Language Models for Spam Email Detection

inferred← citeshttps://doi.org/10.1109/icssit69151.2026.11656584openalex-snapshot

Cybersecurity Framework for Protecting Artificial Intelligence Models in Computer Applications

inferred← citeshttps://doi.org/10.1109/ictc58733.2023.10392359openalex-snapshot

Explainable Adversarial Mitigation Framework for Zero-Trust Cyber Warfare

inferred← citeshttps://doi.org/10.1109/ictc58733.2023.10393379openalex-snapshot

X-HDNN: Explainable Hybrid DNN for Industrial Internet of Things Backdoor Attack Detection

inferred← citeshttps://doi.org/10.1109/ictmod59086.2023.10438156openalex-snapshot

Decrypting Disruptive Technologies: Review and Research Agenda of Explainable AI as a Game Changer

inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10915028openalex-snapshot

A Comprehensive Survey on Enhancing Digital Twin Security Systems with Explainable AI Techniques

inferred← citeshttps://doi.org/10.1109/iisec56263.2022.9998305openalex-snapshot

Cyber Security's Silver Bullet - A Systematic Literature Review of AI-Powered Security

inferred← citeshttps://doi.org/10.1109/inc457730.2023.10262942openalex-snapshot

Explainable IoT Forensics: Investigation on Digital Evidence

inferred← citeshttps://doi.org/10.1109/inocon57975.2023.10101116openalex-snapshot

Interpreting Machine and Deep Learning Models for PDF Malware Detection using XAI and SHAP Framework

inferred← citeshttps://doi.org/10.1109/iotm.001.2300171openalex-snapshot

Machine Learning Explainability for Intrusion Detection in the Industrial Internet of Things

inferred← citeshttps://doi.org/10.1109/isaect68904.2025.11318816openalex-snapshot

Explainable Artificial Intelligence in Cyber Defense-A Review

inferred← citeshttps://doi.org/10.1109/isdfs69419.2026.11459021openalex-snapshot

AI-Enhanced Digital Forensics: A Research Vision for Trustworthy, Explainable, and Humancentered Forensic Intelligence

inferred← citeshttps://doi.org/10.1109/isdfs69419.2026.11459108openalex-snapshot

Machine Learning-Driven Threat Detection and Response Framework for Modern Cybersecurity Systems

inferred← citeshttps://doi.org/10.1109/isncc62547.2024.10758980openalex-snapshot

Leveraging Artificial Intelligence for Active Cyber Defense Against to Advanced Persistent Threats to Homeland Security

inferred← citeshttps://doi.org/10.1109/isncc70543.2026.11693844openalex-snapshot

Explainable AI for Identity-Document Fraud Detection in Digital Forensics Using Grad-CAM++

inferred← citeshttps://doi.org/10.1109/jiot.2024.3360626openalex-snapshot

Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection

inferred← citeshttps://doi.org/10.1109/mipro65660.2025.11131766openalex-snapshot

Future Trends in AI for Cybersecurity and Digital Forensics: A Systematic Literature Survey

inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10926941openalex-snapshot

A Systematic Review of the Role of Artificial Intelligence in Cybersecurity

inferred← citeshttps://doi.org/10.1109/ocit59427.2023.10430641openalex-snapshot

Intrusion Detection using Explainable Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3413790openalex-snapshot

Explainable Artificial Intelligence for Resilient Security Applications in the Internet of Things

inferred← citeshttps://doi.org/10.1109/pimrc62392.2025.11274964openalex-snapshot

From Insight to Action: XAI-Enhanced Detection of DDoS Attacks in Software Defined Networks

inferred← citeshttps://doi.org/10.1109/raics66191.2025.11332593openalex-snapshot

Explainable AI For Phishing Detection: Techniques, Challenges, and Experimental Validation

inferred← citeshttps://doi.org/10.1109/sin60469.2023.10475080openalex-snapshot

Defending the Cloud: Understanding the Role of Explainable AI in Intrusion Detection Systems

inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179321openalex-snapshot

Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations

inferred← citeshttps://doi.org/10.1109/ssci52147.2023.10371980openalex-snapshot

Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning

inferred← citeshttps://doi.org/10.1109/temsconlatam61834.2024.10717777openalex-snapshot

Cybersecurity alerts and advisories: Leveraging artificial intelligence to secure digital assets

inferred← citeshttps://doi.org/10.1109/tmlcn.2026.3724613openalex-snapshot

X-ZeroSec: Zero-Shot Evasion Attack Detection in Deep Learning-Based Beamforming Prediction With XAI

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