Buch, Englisch, 659 Seiten, Format (B × H): 155 mm x 235 mm
28th International Conference, ICICS 2026, Fukui, Japan, October 27–30, 2026, Proceedings, Part II
Buch, Englisch, 659 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9268-33-7
Verlag: Springer
This set of volumes constitutes the refereed proceedings of 28th International Conference on Information and Communications Security, ICICS 2026, held in Fukui, Japan, during October 27–30, 2026.
The 148 full papers, 69 short papers and 16 poster papers presented in this book were carefully selected and reviewed from 499 submissions. The papers are organized in the following topical sections:
Part I: Full Papers — Cryptography and Secure Protocols.
Part II: Full Papers — Federated Learning, AI Model Security and Blockchain.
Part III: Full Papers — LLM Security, Software Security and Malware Analysis.
Part IV: Full Papers — Network, IoT, Hardware Security and Privacy.
Part V: Short Papers I — Cryptography, Secure Computation and Blockchain.
Part VI: Short Papers II — AI and Systems Security, and Posters.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
.- Federated Learning Security.
.- Detecting the Unseen: Privacy-Aware Federated IoT Botnet Traffic Analysis.
.- Communication-Efficient and Privacy-Preserving Vertical Federated Learning via Dynamic Quantization.
.- FedDualAdapt: Adaptive Dual-Stage Personalized Federated Learning with Prototype-Guided Feature Calibration for IoMT Attack Detection.
.- CTD-Fed: A Conditional Tabular Diffusion Data Augmentation Method for Federated Intrusion Detection in Satellite Networks.
.- APT-Oriented Steganographic Covert Channels in Federated Learning.
.- FedMCE: Model Capacity Effect for Backdoor Detection in Federated Learning.
.- DMM: Dynamic Moment Matching for Stealthy Fake-Gradient Defense in Vertical Federated Learning.
.- Adaptive Privacy-Preserving Federated Learning with Hierarchical Aggregation for Resource-Constrained Consumer Electronics.
.- FedGAR: Guardrailed RL Aggregation with Multi-View Evidence for Byzantine-Majority Federated Learning.
.- AI Model Security.
.- Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection.
.- MetaCorr: Robust Black-Box Model Ownership Verification via Meta-Optimized Corrective Fingerprints.
.- PRISM: Fusing Prediction-Inference Evidence for Test Selection in Deep Neural Networks.
.- Learning from Ambiguity: Uncertainty-Aware Intervention for Multimodal Learning.
.- DynamicGater: Fine-Grained Recovery for Machine Unlearning via Dynamic Neuron Gating.
.- DeepFinger: A Dynamic Fingerprinting Framework for Digital Rights Management in Model Distribution.
.- ALEM-WF: Adaptive Local Evidence Modeling for Robust Multi-Label Website Fingerprinting.
.- On the Adversarial Robustness of Temporal Ethereum Malicious Activity Detection.
.- Ear-Acoustic Authentication: Binaural Robustness against Playback Attacks.
.- SL-DNPR: A Protocol-Aware Open-Set Radio Frequency Fingerprint Identification Framework for WiFi Scenarios.
.- A Lightweight and Comprehensive Robust Graph Structure Learning Method.
.- ColorFool: Three Color Elements to Fool Deepfake Detectors.
.- DiTMark: Secure Watermarking for Model Ownership in Diffusion Transformers.
.- PointCBA-TGRP: Clean-Label Backdoor Trigger Generation for Point Cloud via Regular Octahedron Partitioning.
.- Steganography and Media Security.
.- Few-Shot Stroke-Width Imitation for Offline Handwriting Rendering in Trajectory-Based Synthesis.
.- Defending Against Audio Spoofing Attacks via Emotion-Aware Prototype Metric Learning.
.- CRISP: Channel-Randomised Single-Image Steganography with Permutations.
.- Blockchain and Smart Contracts.
.- TIE: A Temporal Inconsistency Exploitation Threat Class for Cross-Chain Bridges.
.- Decryption-as-Vote: Zero-Communication Reconstruction Latency via Hard-Coupled Threshold Encryption in BFT Consensus.
.- LoCal: Localized Challenge Resolution via Off-Chain Dispute Localization and Escalating Stakes.
.- VDR-Proof: State Attestation for Verifiable Data Registry through Distributed Users.
.- Extending Subsidy Bridge to Bidirectional Interoperability.
.- A Formal Semantics of Ownership for Multi-Chain NFT Systems.
.- Bitwork: Achieving Verifiable Adoption for Decentralized Collaboration.
.- D-PayIns: Deployer-Led Insurance for Risky Smart Contract Services.
