Buch, Englisch, 728 Seiten, Format (B × H): 155 mm x 235 mm
28th International Conference, ICICS 2026, Fukui, Japan, October 27–30, 2026, Proceedings, Part IV
Buch, Englisch, 728 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9268-56-6
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 Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- Network Security and Traffic Analysis.
.- Hierarchical Website Fingerprinting: Incorporating Multi-Page Traffic Features via Cross-Attention and Evidential Fusion.
.- MultiView-EF: Bounded Cross-View Evidence for ETSI-Compliant V2X Misbehaviour Reporting.
.- Few-Shot Class-Incremental Learning for Encrypted Network Intrusion Detection.
.- P4-AutoGuard: Scalable DDoS Detection and Mitigation with Aggregate Traffic Features in Programmable Data Planes.
.- Benign Activity Filter: A Benign Activity Extraction Method for Efficient Provenance-based Log Analysis.
.- S3L-IDS: Enabling Efficient Large-Scale Network Intrusion Detection via Sketch And Self-Supervised Learning.
.- T-MTAD: A Lightweight Multiscale Time-Series Framework with Causal Attention for Network Traffic Anomaly Detection.
.- Dual-Branch Encoding for Network Intrusion Detection.
.- SFDNet: Structure-Feature Decoupling for Robust Encrypted Malicious Traffic Detection under Network Perturbations.
.- Dynamic Deep Packet Inspection for Secure Middlebox on Encrypted Traffic with Forward Privacy.
.- FSPANN: Forward-Secure and Privacy-Preserving ANN Search with Routing-Ciphertext Orthogonality.
.- MC2Net: Mutation-Decision-Level Credit Learning for Stateful Network Protocol Fuzzing.
.- IoT, CPS and Automotive Security.
.- When Side Channels Meet Covert Channels: A Practical Fully Sensor-Driven Attack Chain.
.- Digital Twin Degradation: Detecting Cyber–Physical Attacks via Temporal Inconsistencies.
.- IoTPrune: Causality-Guided Device-State Integrity Verification in Smart Homes.
.- Real-World Assessment of EXP3-MA-Based Random Access in Wireless IoT Networks.
.- PowerTrace-IoT: An Empirical Power-Consumption Dataset for Physical-Layer Attack Detection in Distributed IoT Sensor Networks.
.- Dual-Domain Transformer with Physics-to-Security Transfer Learning for ADS-B Anomaly Detection.
.- Enhancing Firmware Fuzzing Efficiency for Zephyr RTOS in LEO Satellite Operating Systems via Semantic Aware Interrupt Scheduling & Symbolic Pointer Probing.
.- A Privacy-Preserving Data Sharing Framework for Consumer-Centric Digital Twin in Healthcare 5.0.
.- Robust Stealthy Attacks Detection in IoT Through Dynamic Masking-Based Autoencoder.
.- Side-Channel and Hardware Security.
.- Leakage-Free Dissemination of Authenticated Graph-Structured Data .
.- PIPE-SCD: Pipeline-Aware Side-Channel Disassembly of MultiInstruction Power Traces.
.- Liquid Neural Network in Far-Field EM Side-Channel Attack.
.- CPNN: A Power Side-Channel Information-Assisted Modeling Attack Method on Arbiter-Based PUFs.
.- HLS/RTL Hybrid Design for Power Side-channel Secure Cipher Circuits.
.- Rank-Based Distribution Reshaping for Robust EM/Power Fusion in Side-Channel Analysis across Sampling Rates.
.- Acoustic Side-Channel Attack on Smartphone via Cross-Sensor Fusion.
.- RouterWhisper: Acoustic Side-Channel Inference of Smartphone Activities via Wi-Fi Router Power Adapters.
.- Toward Secure Compilation: Leakage Detection for Masked Implementations in Jasmin.
.- Building the Truman Show: A TrustZone-Based Framework for Lightweight Out-of-band Kernel Security Monitoring.
.- Privacy and Anonymity.
.- SSAFI: Sorting-Based Score Anonymization Against Feature Inference in Vertical Federated Learning.
.- Reducing Privacy Overhead in Accuracy-First Differentially Private Fine-Tuning of LLMs.
.- Crafted Innocence: A Stigmatization Threat Model for Watchlist Screening and Its Defenses.
.- Data Poisoning Attacks to Local Differential Privacy for Triangle Counts.
.- ConsistencyGuard: A Post-hoc Defense Against Poisoning in Frequent Itemset Mining under Local Differential Privacy.
.- Privacy Preserving Multidimensional Medical Data Collection With Efficient Fixed Length Encoding.
.- Visibility Does Not Equal Effective Privacy Notice: Rethinking LED Notice on AI Glasses.
