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Titlebook: Security, Privacy, and Anonymity in Computation, Communication, and Storage; 10th International C Guojun Wang,Mohammed Atiquzzaman,Kim-Kwan

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發(fā)表于 2025-3-23 10:33:56 | 只看該作者
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發(fā)表于 2025-3-23 15:08:16 | 只看該作者
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發(fā)表于 2025-3-23 21:18:58 | 只看該作者
An Improved Pre-copy Transmission Algorithm in Mobile Cloud Computing,of mobile terminals are migrated to the cloud. In the application research of virtual machine migration, the transmission rate of wireless channel will changed with the changes of network condition. This paper focuses on the pre-copy transmission algorithm in the process of virtual machine migration
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發(fā)表于 2025-3-24 00:39:46 | 只看該作者
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發(fā)表于 2025-3-24 02:24:34 | 只看該作者
TIM: A Trust Insurance Mechanism for Network Function Virtualization Based on Trusted Computing, In the context of NFV, Virtualized Network Functions (VNFs) located in different network computing platforms need collaborate to fulfill an expected networking service. Platform trust authentication and trusted collaboration should be highly ensured in order to support secure and trustworthy 5G mob
16#
發(fā)表于 2025-3-24 06:31:47 | 只看該作者
Personalized Semantic Location Privacy Preservation Algorithm Based on Query Processing Cost Optimiing technologies and the popularization of mobile devices. While LBSs bring great conveniences to users, the exposure of users’ location privacy becomes a growing concern. To address this issue, researchers propose several kinds of location preservation techniques such as location cloaking, dummies
17#
發(fā)表于 2025-3-24 13:39:04 | 只看該作者
Smartphone Bloatware: An Overlooked Privacy Problem, to remain ahead of competitors and partly to subsidize the costs of smartphones through app developers. Such applications are also known to be used for maintaining device control and for collecting user data. There are a number of other privacy and security costs associated with these freely availa
18#
發(fā)表于 2025-3-24 16:22:16 | 只看該作者
19#
發(fā)表于 2025-3-24 20:52:27 | 只看該作者
PCSD: A Tool for Android Malware Detection,hod for detection. Consequently, we propose PCSD, a lightweight tool for detection of Android malware by extracting statistical features from applications. As the influence of individual difference, PCSD performs cluster algorithm to reduce particularity. Meanwhile, it minimizes effect of random clu
20#
發(fā)表于 2025-3-24 23:17:07 | 只看該作者
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