Security and Privacy in Communication Networks

.- ML/AI Security.

.- SVD-Based Efficient Communication Scheme for Heterogeneous Federated Learning.

.- IncreTTP: An Incremental TTPs Classification Model.

.- Login, Logout, Reset: Measuring Security and Privacy Issues in Real-World Web Logins.

.- Location Privacy Protection for VANETs based on Dynamically Adjustable Security Coefficient.

.- BPGT: A Novel Privacy-Preserving K-Means Clustering Framework to Guarantee Local $d_{\chi}$-privacy.

.- Hamk-CFI: A Hardware-assisted Kernel Control Flow Protection Framework For Cloud Environments.

.- PEARL: A Reinforcement Learning-Based Attack Analysis Approach for Security and Robustness Assessment of Smart Home Systems.

.- The RPKI and Its Hidden Guardians: An Empirical Analysis of Their Relationship and Security Implications.

.- FedCC: Robust Federated Learning against Model Poisoning Attacks.

.- FedCLF: Contrastive Learning-driven Framework for Mitigating Data Heterogeneity in Federated Learning.

.- FedSND:Federated Learning with Symmetric Noise Decentralized Orthogonal Encryption.

.- Group-Based Parallel Split Federated Learning.

.- A Verifiable Federated Learning Aggregation Scheme Based on Homomorphic Hashing.

.- A Lightweight Image Steganography Scheme Based on Invertible Neural Network Architecture with Progressive Channel Attention.

.- Defending Against Malicious Clients in Robust Heterogeneous Federated Learning.

.- CyberSecurity.

.- A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Secure of In-vehicle Network.

.- A Robustness Optimization Mechanism for Intrusion Detection Models Based on Dynamic Ensemble Learning.

.- BFDet: A Method for Detecting Malicious Traffic with Ultra-Low False Positive Rate Based on TLS Behavior Flow.

.- DARD: Dice Adversarial Robustness Distillation Against Adversarial Attacks.

.- EvasionEval: A Benchmark for LLMs in Evaluating Advanced Defense Evasion Techniques.

.- Flow Dissector: A Flow Slicing Representation with a Pre-trained Model for Varied Malicious Traffic Classification.

.- From Dark Network to Honeypot: Analysis and Traceability of Multi-prefix IPv6 Network Attacks.

.- Insights into Ransomware Detection based on Semantic Understanding.

.- Log Anomaly Detection based on Time-Delta Sequential Feature.

.- Log Semantic Parsing based on Sequence Annotation in Security Operations.

.- MOT-Fuzz: A Novel Directed Greybox Fuzzing with Multiple Ordered Target Basic Blocks for Multistep Vulnerabilities.

.- MFRWF: Enhance Website Fingerprinting Robustness Against website content updates and background noise traffic.

.- One Trace is Possible: A Method for Small-Sample Profiling Side-Channel Analysis in Communication Environments.

.- Task-Driven GAN for Class-Imbalanced Intrusion Detection.

.- Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text.