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Titlebook: Wireless Algorithms, Systems, and Applications; 14th International C Edoardo S. Biagioni,Yao Zheng,Siyao Cheng Conference proceedings 2019

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書目名稱Wireless Algorithms, Systems, and Applications
副標(biāo)題14th International C
編輯Edoardo S. Biagioni,Yao Zheng,Siyao Cheng
視頻videohttp://file.papertrans.cn/1029/1028931/1028931.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Wireless Algorithms, Systems, and Applications; 14th International C Edoardo S. Biagioni,Yao Zheng,Siyao Cheng Conference proceedings 2019
描述This book constitutes the proceedings of the 14th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2019, held in Honolulu, HI, USA, in June 2019.?The 43 full and 11 short papers presented were carefully reviewed and selected from 143 submissions.?.The papers deal with new ideas and recent advances in computer systems, wireless networks, distributed applications, and advanced algorithms that are pushing forward the new technologies for better information sharing, computer communication, and universal connected devices in various environments, especially in wireless networks.?.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computer networks; data communication systems; data privacy; data security; inte
版次1
doihttps://doi.org/10.1007/978-3-030-23597-0
isbn_softcover978-3-030-23596-3
isbn_ebook978-3-030-23597-0Series 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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Massive MIMO Cognitive Cooperative Relayingheir secondary users (SUs). The interplay of these advanced radio techniques is analyzed in a systematic manner, and a framework is proposed for the joint optimization of cooperative relay selection, NOMA and MMIMO transmit power allocation, and transmission scheduling. Further, to model network-wid
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Privacy Protection for Context-Aware Services: A Two-Layer Three-Party Game Modelusers and the second layer considers the influence between any two of the three parties (user, platform, and adversary). We prove that the Nash Equilibrium exists in the proposed game and find the optimal strategy for the platform to provide quality service, while protecting private data, along with
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Who Leaks My Privacy: Towards Automatic and Association Detection with GDPR Compliance We have tested 509 APPs of different categories in the Google Play Store. The result shows that 76.23% of the APPs would collect and transmit PII insecurely and 34.06% of them would send PII to third parties.
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Fusing RFID and Computer Vision for Occlusion-Aware Object Identifying and Trackingotype system to testify the performance of our proposed scheme with the off-the-shelf IP network camera, as well as the RFID devices. Experimental results show that our solution can achieve 98% identification accuracy and centimeter-level tracking precision, even in long-term occlusion scenarios, wh
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Detecting Android Side Channel Probing Attacks Based on System Statesels described by feature vectors. Based on the application behavior models, we train and obtain classifiers to detect malicious app behaviors by using learning-based classification techniques. We prototyped and evaluated our approach. The experiment results demonstrate the effectiveness of our appro
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