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Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla

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發(fā)表于 2025-3-21 17:59:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Cyberspace Safety and Security
副標題11th International S
編輯Jaideep Vaidya,Xiao Zhang,Jin Li
視頻videohttp://file.papertrans.cn/242/241946/241946.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla
描述The two volumes LNCS 11982 and 11983 constitute the proceedings of the 11th International Symposium on Cyberspace Safety and Security, CSS 2019, held in Guangzhou, China, in December 2019..The 61 full papers and 40 short papers presented were carefully reviewed and selected from 235 submissions.?The papers cover a broad range of topics in the field of cyberspace safety and security, such as authentication,?access control, availability, integrity, privacy, confidentiality, dependability and?sustainability issues of cyberspace. They are organized in the following topical sections: network security; system security; information security; privacy preservation; machine learning and security; cyberspace safety; big data and security; and cloud and security;??.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; authentication; communication systems; computer hardware; computer networks; com
版次1
doihttps://doi.org/10.1007/978-3-030-37352-8
isbn_softcover978-3-030-37351-1
isbn_ebook978-3-030-37352-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/241946.jpg
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https://doi.org/10.1007/978-1-4020-5269-9ble IoT devices are exploited to constitute botnet by many attackers, which forms a serious problem for network security. To solve it, we propose a novel detection and mitigation mechanism. In our method, we use Software Defined Networking (SDN), a promising network architecture, for dropping malici
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Studies in Educational Leadership methods can not accurately represent the characteristics of network flow, and have the characteristics of high false alarm rate and high false alarm rate. This paper presents a multi-view distributed denial of service attack network flow feature extraction method based on convolutional neural netwo
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Sándor Berényi,Tibor Gyula Nagy(HRM) based on hierarchical representation learning network and a FlowMerge algorithm based on three network flow merging modes are proposed. Firstly, the network traffic is transformed into triples, and the dimensionality reduction of Tsne algorithm is used to transform it into network IP topology
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Sándor Berényi,Tibor Gyula Nagy of deploying additional fake systems in the corporate network, the production systems themselves should be instrumented to provide active defense capabilities. The proposed concept of traps can be implemented in any corporate production network, with little upfront work and little maintenance.
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