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Accountability and privacy in networ...

Ma, Yuxiang.

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Accountability and privacy in network security

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Accountability and privacy in network security/ by Yuxiang Ma, Yulei Wu, Jingguo Ge.
作者:	Ma, Yuxiang.
其他作者:	Wu, Yulei.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xii, 140 p. :ill., digital ;24 cm.
內容註:	Introduction -- A Comprehensive Survey -- Encrypted Traﬃc Classiﬁcation -- A Content-based Architecture -- A Flow-based Architecture -- A Service-based Architecture -- An Information-Centric Networking based Architecture -- Summary.
Contained By:	Springer Nature eBook
標題:	Computer networks - Security measures. -
電子資源:	https://doi.org/10.1007/978-981-15-6575-5
ISBN:	9789811565755

Accountability and privacy in network security
Ma, Yuxiang.

Accountability and privacy in network security[electronic resource] /by Yuxiang Ma, Yulei Wu, Jingguo Ge. - Singapore :Springer Singapore :2020. - xii, 140 p. :ill., digital ;24 cm.

Introduction -- A Comprehensive Survey -- Encrypted Traﬃc Classiﬁcation -- A Content-based Architecture -- A Flow-based Architecture -- A Service-based Architecture -- An Information-Centric Networking based Architecture -- Summary.

This book discusses accountability and privacy in network security from a technical perspective, providing a comprehensive overview of the latest research, as well as the current challenges and open issues. Further, it proposes a set of new and innovative solutions to balance privacy and accountability in networks in terms of their content, flow and service, using practical deep learning techniques for encrypted traffic analysis and focusing on the application of new technologies and concepts. These solutions take into account various key components (e.g. the in-network cache) in network architectures and adopt the emerging blockchain technique to ensure the security and scalability of the proposed architectures. In addition, the book examines in detail related studies on accountability and privacy, and validates the architectures using real-world datasets. Presenting secure and scalable solutions that can detect malicious behaviors in the network in a timely manner without compromising user privacy, the book offers a valuable resource for undergraduate and graduate students, researchers, and engineers working in the fields of network architecture and cybersecurity.

ISBN: 9789811565755

Standard No.: 10.1007/978-981-15-6575-5doiSubjects--Topical Terms:

579161
Computer networks
--Security measures.

LC Class. No.: TK5105.59 / .M39 2020

Dewey Class. No.: 004.6

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