Computational Intelligence in Security for Information Systems

.- Hybrid Security Analytics                
.- Blink-and-You'll-Miss-It: Micro-Expressions as a Deepfake Detection Add-On.
.- Rethinking Synthetic Oversampling for Intrusion Detection: When Similarity Hurts Performance.
.- Deep Sets for Network Flow Anomaly Detection under a Multiple Instance Learning Framework.
.- Explainable Mixer-Like Behavior Detection in Bitcoin via Transaction-Level Heuristics.
.- Unsupervised Temporal Analysis of Bitcoin Transaction Networks Using Topological Drift.
.- Secure AI, Cryptography & Software Assurance.
.- Securing LLM Agents in Production: Threat Models, Defenses, and Operational Trade-Offs.
.- Towards Post-Quantum Security: An Architecture Proposal for Securing Cyber-Physical Systems Telemetry.
.- Analysis and Comparison of Fully Homomorphic Encryption Approaches over Integers.
.- Tailored Limb Counts, Faster Arithmetic: Improved TMVP Decompositions for Curve5453 and Curve6071.
.- Guarding Pointer Arithmetic in LLVM IR: A Lightweight Static Analysis Pass.
.- Special Session: Artificial Intelligence for Protecting the Internet of Things (AIP-IoT).
.- Explainable ANFIS-Based DDoS Detection for Edge IIoT.
.- Cybersecurity Audit of the Unitree Go2 Quadruped Robot.
.- Real-time identification and evaluation of DoS attacks for embedded systems.
.- A Hybrid Forensic Investigation Framework: Mobile Malware, Memory Threats, and Deepfake Detection.
.- Comparison of Temporal Flow Aggregation Strategies for Transformer-Based Network Intrusion Detection.
.- Vulnerability Assessment of IoT Ecosystems: A Case Study on Replay Attacks in Wi-Fi Enabled Smart Actuators.
.- Framework Design for Privacy Preserving Machine Learning in a 6G Vehicular Network.
.- Machine Learning Validation of a Flow-Based IoT Cyberattack Dataset.
.- Identification of relevant digital forensic traces using time window aggregation and hierarchical clustering
.- Cross-Dataset Generalization of Random Forest Classification Models for IoT Network Traffic Attack Detection.
.- Mixed-Traffic IoT Windows as Flow Sequences: A Transformer-Based Multi-Label IDS.
.- Anomaly Detection Through Quantum Annealing-Driven Feature Selection.
.- Autonomous Edge Cybersecurity: LLM-Guided Q-Learning for Resilient Device Control.