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Contributions presented at the Inter...

International Conference on Computing, Communication, Cybersecurity and AI ((2024 :)

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Contributions presented at the International Conference on Computing, Communication, Cybersecurity and AI, July 3-4, 2024, London, UK = the C3AI 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Contributions presented at the International Conference on Computing, Communication, Cybersecurity and AI, July 3-4, 2024, London, UK/ edited by Nitin Naik ... [et al.].
其他題名:	the C3AI 2024 /
其他題名:	C3AI 2024
其他作者:	Naik, Nitin.
團體作者:	International Conference on Computing, Communication, Cybersecurity and AI
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	ix, 826 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Security model for IoT applications IoTSeMo -- DAN Deep Neural Network-based Application Mapping for Optimized Network-on-Chip Design -- Threat Modelling in Virtual Assistant Hub Devices -- Generate Unnoticeable Adversarial Examples on Audio Classification Models with Multi perspective Objectives -- Prior enhanced Semi supervised Federated Learning for IoT Intrusion Detection A Game Theory and Comparative Learning based Approach -- An empirical study on Insider Threats Towards Crime Prevention through Environmental Design CPTED A student case study -- Utilizing Machine Learning and Deep Learning Techniques for the Detection of Distributed Denial of Service DDoS Attacks -- Inspecting software architecture design styles to infer threat models and inform likely attacks.
Contained By:	Springer Nature eBook
標題:	Computer security - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-74443-3
ISBN:	9783031744433

Contributions presented at the International Conference on Computing, Communication, Cybersecurity and AI, July 3-4, 2024, London, UK = the C3AI 2024 /
Contributions presented at the International Conference on Computing, Communication, Cybersecurity and AI, July 3-4, 2024, London, UKthe C3AI 2024 /[electronic resource] :C3AI 2024edited by Nitin Naik ... [et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 826 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,8842367-3389 ;. - Lecture notes in networks and systems ;884..

Security model for IoT applications IoTSeMo -- DAN Deep Neural Network-based Application Mapping for Optimized Network-on-Chip Design -- Threat Modelling in Virtual Assistant Hub Devices -- Generate Unnoticeable Adversarial Examples on Audio Classification Models with Multi perspective Objectives -- Prior enhanced Semi supervised Federated Learning for IoT Intrusion Detection A Game Theory and Comparative Learning based Approach -- An empirical study on Insider Threats Towards Crime Prevention through Environmental Design CPTED A student case study -- Utilizing Machine Learning and Deep Learning Techniques for the Detection of Distributed Denial of Service DDoS Attacks -- Inspecting software architecture design styles to infer threat models and inform likely attacks.

This book offers an in-depth exploration of cutting-edge research across the interconnected fields of computing, communication, cybersecurity, and artificial intelligence. It serves as a comprehensive guide to the technologies shaping our digital world, providing both a profound understanding of these domains and practical strategies for addressing their challenges. The content is drawn from the International Conference on Computing, Communication, Cybersecurity and AI (C3AI 2024), held in London, UK, from July 3 to 4, 2024. The conference attracted 66 submissions from 17 countries, including the USA, UK, Canada, Brazil, India, China, Germany, and Spain. Of these, 47 high-calibre papers were rigorously selected through a meticulous review process, where each paper received three to four reviews to ensure quality and relevance. This book is an essential resource for readers seeking a thorough and timely review of the latest advancements and trends in computing, communication, cybersecurity, and artificial intelligence.

ISBN: 9783031744433

Standard No.: 10.1007/978-3-031-74443-3doiSubjects--Topical Terms:

622818
Computer security
--Congresses.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Contributions presented at the International Conference on Computing, Communication, Cybersecurity and AI, July 3-4, 2024, London, UK = the C3AI 2024 /
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