Staked deep ensemble model for intruder behaviour detection and classification in cloud

• Published in: Multimedia tools and applications Vol. 83; no. 19; pp. 57861 - 57892
• Main Authors: Mohan, M., Tamizhazhagan, V., Balaji, S.
• Format: Journal Article
• Language: English
• Published: New York Springer US 14.12.2023; Springer Nature B.V
• Subjects: Algorithms; Belief networks; Classification; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Feature extraction; Information systems; Intrusion; Intrusion detection systems; Multimedia Information Systems; Principal components analysis; Recurrent neural networks; Security; Special Purpose and Application-Based Systems; Track 6: Computer Vision for Multimedia Applications; Intruder; Deep Learning; Optimization; Cloud; Ensemble

Computer systems, cloud networks, and information systems can all be attacked, but intrusion detection systems can find them. It is challenging to demonstrate the security of the information systems and to uphold such security when they are in use. We put forth the Staked Deep Ensemble Model for Int...