Buch, Englisch, 490 Seiten, Format (B × H): 155 mm x 235 mm
8th International Conference, ML4CS 2026, Nadi, Fiji, July 6–10, 2026, Proceedings
Buch, Englisch, 490 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9257-51-5
Verlag: Springer Singapore
This volume constitutes the proceedings of the 8th International Conference on Machine Learning for Cyber Security, ML4CS 2026, held in Nadi, Fiji, on July 6–10, 2026.
The 28 full papers were carefully reviewed and selected from 101 submissions. These papers were organized in following topical sections:Intrusion Detection and Network Traffic Analysis; Malware, Ransomware, and Malicious Code Detection; Federated Learning Security and Privacy-Preserving Machine Learning; LLM and Prompt Security; Privacy, Authentication, and Content Protection; and Trustworthy AI, Explainability, and Cyber Governance.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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Intrusion Detection and Network Traffic Analysis
.
.- Hunting the Needle in a Haystack: Rare Cyber-Attack Detection with SMOTified-GAN under Extreme Imbalance.
.- Quantum Machine Learning for Intrusion Detection: A Comparative Study with Classical Models in an Encrypted Network Environment.
.- CET-LiteFormer: A Lightweight Transformer with Correntropy-Entropy Tokenization for Encrypted Traffic Classification.
.- A Comprehensive Empirical Analysis of Machine Learning and Deep Learning Models for Wi-Fi Deauthentication Attack Detection.
.- Protocol-Aware Online Learning for OCPP Anomaly Detection in EV Charging Infrastructure.
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Malware, Ransomware, and Malicious Code Detection
.
.- GA-XMal: A Genetic Algorithm–Enhanced and Explainable Framework for Robust Android Malware Detection Using Static Features.
.- A Hybrid Static and Dynamic Analysis Framework for Real-Time Ransomware Detection Optimizing Pre-Encryption Time-Window using A-GWO.
.- MalScan AI: An AI-Powered Tool for Malicious Source Code Detection.
.- ML for Smart-Contract Security: A Hybrid Lexical-Reservoir Model for Reentrancy Triage.
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Federated Learning Security and Privacy-Preserving Machine Learning
.
.- FedXAI-IDS: An Explainable Federated Intrusion Detection Framework for IoT Networks.
.- Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface.
.- AdaFedXplain: Adaptive Federated Learning with Explainable AI for Ransomware Detection.
.- Towards Byzantine-Robust Federated Knowledge Graph Embedding.
.- ppCFed: Privacy-Preserving Clustering Federated Learning.
.-
LLM and Prompt Security
.
.- A Lightweight Classical Machine Learning Framework for Indirect Prompt Injection Detection Using Hybrid TF-IDF Features.
.- AdaPromptFuzz: Adaptive Multi-Objective Mutation Strategy for Enhanced Prompt Injection Fuzzing in LLM.
.- Security of LLM-Generated Full-Stack Web Applications: An Empirical Study on Prompt Specificity and CWE Coverage.
.- Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques.
.-
Privacy, Authentication, and Content Protection.
.- Why Do You Need My Location? A Semantic-Aware Framework for Auditing Aggressive Location Harvesting.
.- Enabling Decentralized and Privacy-preserving Access Control for Social Network Data Sharing.
.- Offline Action Sequence Synthesis for Authentication-Oriented Dynamic Analysis of Android Applications.
.- WMDetect: Decoder-Free, Data-Efficient Detection of Invisible Watermarks in Facial Images.
.-
Trustworthy AI, Explainability, and Cyber Governance
.
.- Preprocessing Failure and Adversarial Detection in Depthwise-Separable Edge Vision Systems.
.- A Structure-Centric Approach to High-Frequency Data Stream Representation.
.- A Decade of Healthcare Cyber Threats: Empirical Analysis, Evidence-Based Prioritisation, and AI Threat Model.
.- Improving Chronic Care Through IoT-Based Machine Learning and Explainable AI for Medication Adherence.
.- XAI-Driven Ensemble Framework for Diabetes Prediction: A Comparative Analysis of Neural Network Integration.
.- AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis.
