TY - BOOK AU - Onwubiko,Cyril AU - Rosati,Pierangelo AU - Rege,Aunshul AU - Erola,Arnau AU - Bellekens,Xavier AU - Hindy,Hanan AU - Jaatun,Martin Gilje ED - SpringerLink (Online service) TI - Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media: Cyber Science 2023; 03–04 July; University of Aalborg, Copenhagen, Denmark T2 - Springer Proceedings in Complexity, SN - 9789819969746 AV - Q295 PY - 2024/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - System theory KW - Artificial intelligence KW - Cooperating objects (Computer systems) KW - Computer crimes KW - Security systems KW - Blockchains (Databases) KW - Complex Systems KW - Artificial Intelligence KW - Cyber-Physical Systems KW - Cybercrime KW - Security Science and Technology KW - Blockchain N1 - Section 1: Data Science and Artificial Intelligence -- Section 2: Blockchain, Cyber Threat Intel and Malware Analysis -- Section 3: Cybersecurity, Usability and Ethics -- Section 4: Regional and National Cybersecurity -- Section 5: Critical Infrastructure Cybersecurity -- Section 6: Cybersecurity Research and Innovation -- Section 7: Cyber Fraud, Privacy and Education -- Section 8: Extended Abstracts N2 - This book highlights advances in cyber security, cyber situational awareness (CyberSA), artificial intelligence (AI) and social media. It brings together original discussions, ideas, concepts and outcomes from research and innovation from multidisciplinary experts. It offers topical, timely and emerging original innovations and research results in cyber situational awareness, security analytics, cyber physical systems, blockchain technologies, machine learning, social media and wearables, protection of online digital service, cyber incident response, containment, control and countermeasures (CIRC3). The theme of Cyber Science 2023 is multidisciplinary and multidimensional cyber security. And through call for papers, we solicit original contributions advancing research in artificial intelligence, machine learning, blockchain, cyber security, social media, cyber incident response and cyber insurance UR - https://doi.org/10.1007/978-981-99-6974-6 ER -