9^th International Conference on Data Analytics and Cyber Security (DACS 2026)

Track 1: Data Analytics

• Machine learning and AI for data analysis
• Big data analytics and distributed computing
• Data mining and knowledge discovery
• Data visualization and decision support systems
• Applications of data analytics in various domains

Track 2: Cyber Security

• Network security and intrusion detection
• Cryptography and access control
• Malware analysis and threat intelligence
• Risk assessment and vulnerability management
• Cyber security in cloud computing and IoT
• Cyber-threat intelligence and incident response
• Blockchain and distributed ledger technologies
• Zero-trust security models
• Quantum cryptography and post-quantum security

Track 3: Synergies in Analytics & Security

• Data-driven threat detection and analysis
• Data-driven security incident response
• Data-driven risk management
• Security intelligence and threat hunting
• Behavioral anomaly detection
• Security automation and orchestration
• Privacy considerations in data analytics

Track 4: Emerging Technologies

• Large Language Models (LLM)
• Generative AI in Security
• Cloud Computing and Distributed Systems
• Internet of Things (IoT) and Edge Computing
• Human-Computer Interaction (HCI)
• Quantum Computing

LNEE Series

Lecture Notes in Electrical Engineering – SCOPUS Indexed