TechShield Publications · Completed Symposium
ISAISS 2026
International Symposium on AI and Secure Systems
The International Symposium on AI and Secure Systems (ISAISS 2026) focused on interdisciplinary topics in artificial intelligence, cybersecurity, and advanced computing technologies. The symposium provided a collaborative and dynamic environment for rich scientific exchange among researchers, industry experts, and practitioners — serving as a valuable platform for graduate students and scholars to engage with the latest advancements in the field, featuring oral and poster presentations, keynote speeches, and panel discussions.
Published Papers ISAISS 2026 Proceedings
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Complete ISAISS 2026 Proceedings Index
Browse all published papers from the International Symposium on AI and Secure Systems (ISAISS 2026).
- An ML-Driven Approach for Detecting Malicious PDFs within an Android Security Advisor
- A Spatio-Temporal Deep Learning Approach for Zone-Aware Cyber Threat Analysis
- Graph Neural Network for Context-Aware Cyber Threat Intelligence: A Hybrid Approach
- Real-Time Network Intrusion Detection Using Deep Learning in a Virtualized Environment
- Hybrid CNN-RNN Model for IoT Network Anomaly Detection in Fog Computing
- Zero-Day Attack Detection Using Deep Learning with Focal Loss and Threshold Optimization
- Detecting Data Poisoning Attacks on Security Datasets using Machine Learning
- Machine Learning–Based Anomaly Detection in Smart Home IoT Networks
- Phishing URL Detection Using Machine Learning and NLP
- ML and Blockchain Framework for Secure IoT Anomaly Detection
- LLM-Assisted Real-Time Unsupervised Multi-Cloud Threat Detection Framework
- A Framework for Advanced Threat Reconnaissance and Vulnerability Detection
- Tool for Windows Bypass for Ethical Hackers (Penetration Testing)
- AI-Powered Adaptive Security Testing Framework for Android Malware Forensic Analysis
- A Review of AI-Based Phishing Detection Approaches for IoT Systems
- A Graph Neural Network Approach for Lateral Movement Attack Detection on IoT Network
- Comparative Analysis of Machine Learning Models for Cloud Network Intrusion Detection
- Deep Learning Techniques for Dark Web Crawling: A Comprehensive Survey for Threat Intelligence
- Detecting Phishing Emails Using Deep Learning-Based Text Analysis
- Privacy Preserving Federated Intrusion Detection: A Comparative Analysis of CNN and LSTM Architectures
- NetSafe-IoT: Securing Industrial Networks Using Unsupervised Learning
- A Comprehensive Review of Multimedia Steganalysis Using Hybrid CNN–Transformer Deep Learning Models
- Botnet Command and Control Detection Using Network Flow Analysis
- Predicting Virtual Machine Compromise in Cloud Systems using Ensemble Learning Techniques
- Forensics investigation using Augmented Reality for Crime evidence analysis: A Comprehensive Review
- Encrypted Malware Detection in HTTPS and QUIC Networks Using Attention-Based Deep Learning and ML
- FaceTrace AI: A Deep Learning-Based Video Surveillance System for Automated Suspect Identification
- Intelligent Log Analysis for Real-Time Cyber Threat Detection
- AwarenessHub: A Gamified Simulation Framework with Adaptive Hint Scoring for Cybersecurity Training
- Energy-Efficient XGBoost-Based Approach for IoT Threat Detection
- Deepfake Audio Synthesis and Detection: A Review of Recent Advances and Open Challenges
- Lightweight Intrusion Detection Framework For Fog Computing
- A Machine Learning-Enabled Cloud Security Framework Integrating Biometric Authentication, Data Encryption, and Malware Detection
- A Comprehensive Review of Deepfake Video Detection: Methods & Challenges
- Detection of Homograph URLs and Phishing Websites: A Comprehensive Review
- IP-Based Systems and Hidden Secure Partition: A Review of Persistent Laptop Anti-Theft Technologies
- Anomaly Detection in Large-scale Cloud: A Comprehensive Survey
- Automated Evidence Analysis and Explainable Intelligence: A Comprehensive Review
- AI-Based Multi-Factor Authentication Combined with Predictive Data Leak Detection for Secure Cloud Vaults
- A Review of Intelligent Browser Extensions for Detecting Unsafe Website Permissions Using Machine Learning
- Network Vulnerability Scanner Tool with Integrated AI-Driven Threat Intelligence
- USOD: A Unified Security Operations Dashboard with Hybrid AI Intrusion Detection and Immutable Blockchain Audit Trails
- Phishing Email Detection: A Review of Classical, Deep Learning, and Transformer-Based Approaches