Advanced computing and systems for security. Volume 14 / Rituparna Chaki, Nabendu Chaki, Agostino Cortesi, Khalid Saeed, editors.

This book features extended versions of selected papers that were presented and discussed at the 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2021), held in Kolkata, India, on April 9-10, 2021. Organized by the Departments of Computer Science & Engineeri...

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Bibliographic Details
Corporate Author: International Doctoral Symposium on Applied Computation and Security Systems Kolkata, India
Other Authors: Chaki, Rituparna (Editor), Chaki, Nabendu (Editor), Cortesi, Agostino, 1963- (Editor), Saeed, Khalid (Computer scientist) (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Series:Lecture notes in networks and systems ; v. 242.
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Online Access:Click for online access

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520 |a This book features extended versions of selected papers that were presented and discussed at the 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2021), held in Kolkata, India, on April 9-10, 2021. Organized by the Departments of Computer Science & Engineering and A.K. Choudhury School of Information Technology at the University of Calcutta, the symposiums international partners were Ca' Foscari University of Venice, Italy, and Bialystok University of Technology, Poland. The topics covered include biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks, and security systems, reflecting the various symposium sessions. 
505 0 |a Parallel Simulation of Cyber-Physical-Systems -- Attack Detection scheme using Deep Learning approach for IoT -- An Efficient Authentication Scheme for Mobile Online Social Networks -- GAN Based Data Generation Approach for IDS -- Conceptualizing Reconfigurable Business Process: A Context Driven Approach -- DcubeNN: Tool for Dynamic Design Discovery from Multi-threaded Applications using Neural Sequence Models -- Construction of Materialized Views in Non-Binary Data Space. 
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