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Titlebook: Cloud Computing and Security; 4th International Co Xingming Sun,Zhaoqing Pan,Elisa Bertino Conference proceedings 2018 Springer Nature Swit

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发表于 2025-3-21 20:02:51 | 显示全部楼层 |阅读模式
书目名称Cloud Computing and Security
副标题4th International Co
编辑Xingming Sun,Zhaoqing Pan,Elisa Bertino
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Cloud Computing and Security; 4th International Co Xingming Sun,Zhaoqing Pan,Elisa Bertino Conference proceedings 2018 Springer Nature Swit
描述This six volume set LNCS 11063 – 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018. The 386 full papers of these six volumes were carefully reviewed and selected from 1743 submissions. The papers cover ideas and achievements in the theory and practice of all areas of inventive systems which includes control, artificial intelligence, automation systems, computing systems, electrical and informative systems. The six volumes are arranged according to the subject areas as follows: cloud computing, cloud security, encryption, information hiding, IoT security, multimedia forensics
出版日期Conference proceedings 2018
关键词artificial intelligence; authentication; computer networks; cryptography; data mining; data security; inte
版次1
doihttps://doi.org/10.1007/978-3-030-00018-9
isbn_softcover978-3-030-00017-2
isbn_ebook978-3-030-00018-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

书目名称Cloud Computing and Security影响因子(影响力)




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书目名称Cloud Computing and Security网络公开度




书目名称Cloud Computing and Security网络公开度学科排名




书目名称Cloud Computing and Security被引频次




书目名称Cloud Computing and Security被引频次学科排名




书目名称Cloud Computing and Security年度引用




书目名称Cloud Computing and Security年度引用学科排名




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书目名称Cloud Computing and Security读者反馈学科排名




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Coverage Holes Recovery Algorithm of Underwater Wireless Sensor Networksodes movement distance. The simulation results show that this recovery algorithm achieves the goal of the nodes reasonable distribution with improving the network coverage and reducing the nodes movement distance thus extends the lifetime of the underwater wireless sensor network in the initial depl
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https://doi.org/10.1007/978-3-322-82166-9o measure moving distance for the user. We mainly innovate in proposing a fusion estimation method leveraging sensors and wireless signals to accurately estimate the human’s moving distance indoor. We implement a prototype with smartphones and commercial WiFi devices. Then we evaluate it in distinct
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Schnitt≈, Stanz≈ und Ziehwerkzeugeodes movement distance. The simulation results show that this recovery algorithm achieves the goal of the nodes reasonable distribution with improving the network coverage and reducing the nodes movement distance thus extends the lifetime of the underwater wireless sensor network in the initial depl
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https://doi.org/10.1007/978-3-322-82166-9range of applications in the era of mobile computing. The maturity of inertial sensors in smartphones and the ubiquity of WiFi technology ensure the accuracy for indoor distance measurement. Despite its importance, moving distance estimation in the indoor environment for mobile devices is still lack
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