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This book constitutes the post-conference proceedings of the Second International Conference on Cybersecurity and Artificial Intelligence Strategies, CAIS 2025 held in Baghdad, Iraq during September 17-18, 2025. The 23 full papers included in this book were carefully reviewed and selected from 101 submissions. The papers are organized in these topical sections: Security and Privacy; Applied Computing and Computing Methodologies.
This book constitutes the post-conference proceedings of the Second International Conference on Cybersecurity and Artificial Intelligence Strategies, CAIS 2025 held in Baghdad, Iraq during September 17-18, 2025.
The 23 full papers included in this book were carefully reviewed and selected from 101 submissions. The papers are organized in these topical sections: Security and Privacy; Applied Computing and Computing Methodologies.
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Inhaltsangabe
.- Security and Privacy. .- An Improved DBSCAN Clustering Algorithm for Bot Detection on Twitter. .- Anomaly Detection in Blockchain Transactions Using Supervised Machine Learning. .- Artificial Intelligence Strategies for Advancing Cybersecurity and Intrusion Detection Systems (IDs). .- BERT-Enhanced Dual-Attention RNN for Short Text Spam Detection. .- Effective Knowledge Graph Representation for Cybersecurity Using AI-Based X Data and Named Entity Relation Technique . .- Enhancement of Cybersecurity in AI Services Using Hybrid Homomorphic Encryption. .- Innovative Neural Network Architecture for Progressive Windows Malware Detection via Adaptive Feature Fusion and Multi-Stage Learning . .- LiteStegNet: A Lightweight Deep Learning Framework for Video Steganography in IoT-Based Systems. .- Secure and Workload-Aware Virtual Machine Migration: Enhancing Performance, Energy Efficiency, and Cyber Resilience in Cloud Data Centres. .- AI-Powered Malware Analysis in Military Cybersecurity: A Deep Learning Approach. .- Applied Computing. .- A Modern Software Engineering Approach to UML Class Diagram Evaluation. .- Advancement in E-marketing Strategy using Support Vector Machine and Apriori Algorithm. .- Advancing Real-Time Facial Expression Recognition: A Deep Learning-Based Video Stream Analysis. .- An Enhanced Deep Learning Approach for Writer Identification and Verification Using Corner Detection. .- Deep Learning Techniques for Predicting Transcription Factor Binding Sites (TFBSs) from DNA Sequencing Data. .- Dual-Phase Sensor Deployment Using Pelican Optimization Algorithm: A Case Study on Air Pollution Monitoring Baghdad City. .- Hand Gesture Classification on Custom Abductees-Rescue Dataset using an Optimized LSTM. .- WLDRD: Dynamic Weighted Load Balancing with Adaptive Request Distribution in Distributed Systems. .- Computing Methodologies. .- Design and Implementation of a Handshaking Algorithm for Enhanced Protection of High-Tension Towers in Iraq. .- DiploNet: A Deep Learning Semantic Segmentation Model for Glaucoma Diagnosis. .- Summarizing Research Papers with Transformer Models. .- LESS is more: Guiding LLMs for Formal Requirement and Test Case Generation. .- Traffic equilibria prediction using inverse reinforcement learning.
.- Security and Privacy. .- An Improved DBSCAN Clustering Algorithm for Bot Detection on Twitter. .- Anomaly Detection in Blockchain Transactions Using Supervised Machine Learning. .- Artificial Intelligence Strategies for Advancing Cybersecurity and Intrusion Detection Systems (IDs). .- BERT-Enhanced Dual-Attention RNN for Short Text Spam Detection. .- Effective Knowledge Graph Representation for Cybersecurity Using AI-Based X Data and Named Entity Relation Technique . .- Enhancement of Cybersecurity in AI Services Using Hybrid Homomorphic Encryption. .- Innovative Neural Network Architecture for Progressive Windows Malware Detection via Adaptive Feature Fusion and Multi-Stage Learning . .- LiteStegNet: A Lightweight Deep Learning Framework for Video Steganography in IoT-Based Systems. .- Secure and Workload-Aware Virtual Machine Migration: Enhancing Performance, Energy Efficiency, and Cyber Resilience in Cloud Data Centres. .- AI-Powered Malware Analysis in Military Cybersecurity: A Deep Learning Approach. .- Applied Computing. .- A Modern Software Engineering Approach to UML Class Diagram Evaluation. .- Advancement in E-marketing Strategy using Support Vector Machine and Apriori Algorithm. .- Advancing Real-Time Facial Expression Recognition: A Deep Learning-Based Video Stream Analysis. .- An Enhanced Deep Learning Approach for Writer Identification and Verification Using Corner Detection. .- Deep Learning Techniques for Predicting Transcription Factor Binding Sites (TFBSs) from DNA Sequencing Data. .- Dual-Phase Sensor Deployment Using Pelican Optimization Algorithm: A Case Study on Air Pollution Monitoring Baghdad City. .- Hand Gesture Classification on Custom Abductees-Rescue Dataset using an Optimized LSTM. .- WLDRD: Dynamic Weighted Load Balancing with Adaptive Request Distribution in Distributed Systems. .- Computing Methodologies. .- Design and Implementation of a Handshaking Algorithm for Enhanced Protection of High-Tension Towers in Iraq. .- DiploNet: A Deep Learning Semantic Segmentation Model for Glaucoma Diagnosis. .- Summarizing Research Papers with Transformer Models. .- LESS is more: Guiding LLMs for Formal Requirement and Test Case Generation. .- Traffic equilibria prediction using inverse reinforcement learning.
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