02797nam a22005535i 4500 978-981-97-5791-6 DE-He213 20251030114616.0 cr nn 008mamaa 241213s2024 si | s |||| 0|eng d 9789819757916 978-981-97-5791-6 10.1007/978-981-97-5791-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Innovations in Cybersecurity and Data Science [electronic resource] : Proceedings of ICICDS 2024 / edited by Syed Muzamil Basha, Hamed Taherdoost, Cleber Zanchettin. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVI, 821 p. 378 illus., 294 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Algorithms for Intelligent Systems, 2524-7573 This book features research papers presented at International Conference on Innovations in Cybersecurity and Data Science (ICICDS 2024), held at Reva University, Bengaluru, India during 15 – 16 March 2024. The book presents original research work in the field of computer science, computer applications, information technology, artificial intelligence, and other relevant fields of IoT, big data, data management and analytics, and security. The book is beneficial for readers from both academia and industry. Computational intelligence. 64052 Cooperating objects (Computer systems). 64303 Artificial intelligence Data processing. Computational Intelligence. 64052 Cyber-Physical Systems. 65638 Data Science. Basha, Syed Muzamil. editor. edt http://id.loc.gov/vocabulary/relators/edt 88874 Taherdoost, Hamed. editor. edt http://id.loc.gov/vocabulary/relators/edt 70080 Zanchettin, Cleber. editor. edt http://id.loc.gov/vocabulary/relators/edt 88875 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819757909 Printed edition: 9789819757923 Printed edition: 9789819757930 Algorithms for Intelligent Systems, 2524-7573 66647 https://doi.org/10.1007/978-981-97-5791-6 ZDB-2-INR ZDB-2-SXIT 65686 65686