Information and Communications Security
Description
This three-set volume LNCS 16217-16219 constitutes the refereed proceedings of 27th International Conference on Information and Communications Security, ICICS 2025, held in Nanjing, China, during October 29-31, 2025.
The 91 full papers presented in this book were carefully selected and reviewed from 357 submissions. The papers are organized in the following topical sections:
Part I: Cryptography; Post-quantum Cryptography; Anonymity and Privacy; Authentication and Authorization.
Part II: Blockchain and Cryptocurrencies, System and Network Security, Security and Privacy of AI, Machine Learning for Security.
Part III: Attack and Defense; Vulnerability Analysis; Anomaly Detection; Traffic Classification; Steganography and Watermarking.
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Content
Attack and Defense
.- Domain Adaptation for Cross-Device Profiled ML Side-Channel Attacks.
.- Find the Clasp of the Chain: Efficiently Locating Cryptographic Procedures in SoC Secure Boot by Semi-automated Side-Channel Analysis.
.- Full-phase distributed quantum impossible differential cryptanalysis.
.- ProverNG: Efficient Verification of Compositional Masking for Cryptosystem's Side-Channel Security.
.- POWERPOLY: Multilingual Program Analysis with the Aid of WebAssembly.
.- Not only spatial, but also spectral: Unnoticeable backdoor attack on 3D point clouds.
.- Permutation-Based Cryptanalysis of the SCARF Block Cipher and Its Randomness Evaluation.
.- Secure and Scalable TLB Partitioning Against Timing Side-Channel Attacks.
.- Security Vulnerabilities in AI-Generated Code: A Large-Scale Analysis of Public GitHub Repositories.
.- Vulnerability Analysis.
.- Towards Efficient C/C++ Vulnerability Impact Assessment in Package Management Systems.
.- AugGP-VD: A smart contract vulnerability detection approach based on augmented graph convolutional networks and pooling.
.- VULDA: Source Code Vulnerability Detection via Local Dependency Context Aggregation on Vulnerability-aware Code Mapping Graph.
.- KVT-Payload: Knowledge Graph-Enhanced Hierarchical Vulnerability Traffic Payload Generation.
.- Construction and Application of Vulnerability Intelligence Ontology under Vulnerability Management Perspective.
.- Anomaly Detection.
.- Speaker Inference Detection Using Only Text.
.- DTGAN: Diverse-Task Generative Adversarial Networks for Intrusion Detection Systems Against Adversarial Examples.
.- ConComFND: Leveraging Content and Comment Information for Enhanced Fake News Detection.
.-Transferable Adversarial Attacks in Object Detection: Leveraging Ensemble Features and Gradient Variance Minimization.
.- VAE-BiLSTM: A Hybrid Model for DeFi Anomaly Detection Combining VAE and BiLSTM.
.- FluxSketch: A Sketch-based Solution for Long-Term Fluctuating Key Flow Detection.
.- RustGuard: Detecting Rust Data Leak Issues with Context-Sensitive Static Taint Analysis.
.- Secure Guard: A Semantic-Based Jailbreak Prompt Detection Framework for Protecting Large Language Models.
.- Traffic Classification.
.- FCAL: An Asynchronous Federated Contrastive Semi-Supervised Learning Approach for Network Traffic Classification.
.- TetheGAN: A GAN-Based Synthetic Mobile Tethering Traffic Generating Framework.
.- SPTC: Signature-based Cross-protocol Encrypted Proxy Traffic Classification Approach.
.- Multi-modal Datagram Representation with Spatial-Temporal State Space Models and Inter-flow Contrastive Learning for Encrypted Traffic Classification.
.- FlowGraphNet: Efficient Malicious Traffic Detection via Graph Construction.
.- CascadeGen: A Hybrid GAN-Diffusion Framework for Controllable and Protocol-Compliant Synthetic Network Traffic Generation.
.- Steganography and Watermarking.
.- Towards High-Capacity Provably Secure Steganography via Cascade Sampling.
.- When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-box Setting.
.- Robust Reversible Watermarking for 3D Models Based on Auto Diffusion Function.