Del i serien Communications in Computer and Information Science

Emerging Trends in Data Science and Cyber Warfare

12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, Las Vegas, NV, USA, December 3–5, 2025, Proceedings, Part III

Häftad, Engelska, 2026

AvHamid R. Arabnia,Leonidas Deligiannidis,Farzan Shenavarmasouleh,Farid Ghareh Mohammadi,Soheyla Amirian

2 169 kr

Kommande

The CCIS book constitutes selected papers of the 12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, which took place in Las Vegas, NV, USA, during December 3–5, 2025.A total of 40 papers was carefully reviewed and selected for inclusion in this book. 19 papers stem from the Research Track on Big Data and Data Science, CSCI-RTBD, and were selected out of 98 submissions; in addition 27 papers from the Research Track on Cyber Warfare, Caber Defense, and Cyber Security, CSCI-RTCW are included and selected from 184 submissions.The papers were organized in topical sections as follows: Big Data, Data Science, and Applications; Cyber Warfare, Cyber Defense, Cyber Security, and Post-Quantum Security; The Use of Artificial Intelligence and Data Science in Cyber Security; Poster Papers.

Produktinformation

Utgivningsdatum2026-07-09
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor536
FörlagSpringer Nature Switzerland AG
ISBN9783032284594

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.- SECTION: Big Data, Data Science, and Applications..- Accelerating HNSW in RAG: A Dynamic Cache Method Based on Topic-Biased Access Patterns..- Using Embeddings to Train and Build Privacy-Preserving Machine Learning Models and Applications..- Multiregional Characterization of Traditional Street Cries in Mexico Using Acoustic Parameters..- Balancing Local and Global Structure Preservation in Dimensionality Reduction..- PISTIS-DM: A Semantically Enriched Data Model for Federated and Trusted Data Sharing, Discovery and Utilization of Proprietary Data Assets..- Containerized Architecture for Time Series Data Analysis and Machine Learning Using EdgeX Foundry IoT Platform..- Evacuation Route Planning Using a GPT Model Pretrained on Geographical Features and Hazard Map Data..- Analyzing Keyword Variations and Trends in COVID-19 Twitter Data..- Q-Gini: A Multidimensional Inequality Index with Isolation of its Causal Drivers..- SecureSense++: An AI-Optimized Intrusion Detection Framework for IoT Sensor Networks Using Feature Selection and Dimensionality Reduction on IoTNet24 Dataset..- AI-Enhanced Robustness in a Dementia-Detecting Memory Game..- Detecting Structural Breaks in Latent Feeling and Uncertainty of Expectations and Judgments of Price Levels Over Time..- A Fuzzy Approach to Record Linkages..- SECTION: Cyber Warfare, Cyber Defense, Cyber Security, and Post-Quantum Security..- Taking Cyber Warfare to the Airwaves: Virtualized Electronic Warfare and Directed Energy Systems Using Sparse Arrays and Software Defined Radios..- Code Obfuscation with LLVM: An Analysis of the Impact of the LLVM Version..- STL-QCRYPTO: Strategic Industrial Framework for Quantum-Resistant Cyber Defense..- A Framework for Improving Anomaly-Based Network Intrusion Detection in IoT Systems Using Hybrid GWO with Jaya..- RansomSphereGuard: Early Detection of Zero-day Ransomware Attacks Using Deep Multi-sphere Support Vector Data Description..- Investigating the Control Flow Graphs of IoT Binaries for Malware Detection..- CryNet: An Empirical Study Toward a Versatile IRC Botnet Framework for Realistic Cybersecurity Assessments..- Quantum-PCA for Malware Detection in Supply Chains, Healthcare, and Smart Manufacturing Communications..- Towards Secure and Highly Functional Vibe Coding..- Predicting Maritime Piracy: Timing, Trends, and Risk Assessment..- Detection of Identity Theft in Critical Sectors: A Comprehensive Literature Review ..- Auditable Feedback Filtering for Autonomous Agents: A Privacy-Preserving Defense Against Feedback Poisoning Using zk-Proofs, OPA, and Post-Quantum Cryptography..- Central Cybersecurity Command Center: The Core of Security for Cloud and Cyber Warfare..- Security Algorithms for Identifying Malicious E-mail.- SECTION: The Use of Artificial Intelligence and Data Science in Cyber Security..- NNHammerGuard: Leveraging DNNs' Fault Tolerance for Efficient Row Hammer Defense..- SpoofTrackBench: Interpretable AI for Spoof-Aware UAV Tracking and Benchmarking..- LP-RFL: Enabling Low-Cost Robust Federated Learning via Label-guided Weight Gradient Pruning to Against Backdoor Attacks..- Detecting Botnet-Infected IoT Devices Using Variational Autoencoders..- Forensics and Logs Analysis: LLMs-Based Log Analysis and Correlation for Cyber Forensics..- Enhancing Cyber Defense with a Modular Machine Learning Framework for Real-Time Phishing Detection..- Neural Networks for Ransomware Detection: A Comparative Evaluation of RNN, CNN, and ANN Models ..- An Analytical Study of Machine Learning Methods for Cyberattack Detection in Industrial Control Systems..- Evaluating Random Forest, Decision Tree and Naive Bayes for Real Time DDoS Detection in 5G Environments..- Zero Trust Architectures and Artificial Intelligence..- A Hybrid Architecture Integrating Graph Neural Networks and Long Short-Term Memory Networks for Advanced Malware Detection and Analysis..- Determinants of Trust in Information Security of Artificial Intelligence Assistant..- SECTION: Poster Papers..- Breaking the Guardrails: A Comprehensive Jailbreak Vulnerability Assessment of Local Large Language Models.

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Emerging Trends in Data Science and Cyber Warfare

12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, Las Vegas, NV, USA, December 3–5, 2025, Proceedings, Part III

Produktinformation

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