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Titlebook: Cyber Security, Privacy and Networking; Proceedings of ICSPN Dharma P. Agrawal,Nadia Nedjah,Gregorio Martinez P Conference proceedings 2022

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發(fā)表于 2025-3-21 18:44:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cyber Security, Privacy and Networking
副標(biāo)題Proceedings of ICSPN
編輯Dharma P. Agrawal,Nadia Nedjah,Gregorio Martinez P
視頻videohttp://file.papertrans.cn/242/241773/241773.mp4
概述Presents research works in the field of cyber security, privacy, and networking.Provides results of ICSPN 2021, organized during 17-19 September 2021 in India in Online mode.Serves as a reference for
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Cyber Security, Privacy and Networking; Proceedings of ICSPN Dharma P. Agrawal,Nadia Nedjah,Gregorio Martinez P Conference proceedings 2022
描述This book covers selected high-quality research papers presented in the International Conference on Cyber Security, Privacy and Networking (ICSPN 2021), organized during 17-19 September 2021 in India in Online mode. The objectives of ICSPN 2021 is to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions and presentations on the most recent cyber security, privacy and networking challenges and developments from the perspective of providing security awareness and its best practices for the real world. Moreover, the motivation to organize this conference is to promote research by sharing innovative ideas among all levels of the scientific community, and to provide opportunities to develop creative solutions to various security, privacy and networking problems.
出版日期Conference proceedings 2022
關(guān)鍵詞Information Security; Cyber Security; Privacy and Computer Networks; System and Network Security; ICSPN
版次1
doihttps://doi.org/10.1007/978-981-16-8664-1
isbn_softcover978-981-16-8663-4
isbn_ebook978-981-16-8664-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Dharma P. Agrawal,Nadia Nedjah,Gregorio Martinez PPresents research works in the field of cyber security, privacy, and networking.Provides results of ICSPN 2021, organized during 17-19 September 2021 in India in Online mode.Serves as a reference for
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Lecture Notes in Computer Scienceand QGMAC, respectively. The proposed new hash function QGMD5 is an extended version of MD5 that uses an optimal quasigroup along with two operations named as QGExp and QGComp. The operations quasigroup expansion (QGExp) and the quasigroup compression (QGComp) are also defined in this paper. QGMAC i
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Lecture Notes in Computer Sciencexpressions are essential to gain a deeper insight into human behavior. Even though facial emotion recognition (FER) is extensively studied to improve human–computer interaction, it is yet elusive to human interpretation. Albeit humans have the innate capability to identify emotions through facial ex
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Francisco Cruz,Richard Dazeley,Peter Vamplewign of the holonomic drive is discussed along with the control system used for the robot. The inverse kinematic model of the three-wheel omni drive is analyzed and used for programming the navigation system. This paper analyzes the use of a gyroscope in robot heading and position control. Along with
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Lecture Notes in Computer Sciencek-chain to store user information, preventing privacy leaks even if all system databases and cryptographic protocols have been compromised by an adversary, including databases containing identifying information. While satisfying this stringent privacy constraint, the system remains able to determini
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