Titlebook: Security, Privacy, and Anonymity in Computation, Communication, and Storage; 12th International C Guojun Wang,Jun Feng,Rongxing Lu Conferen

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书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage影响因子(影响力)




书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage影响因子(影响力)学科排名




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书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage网络公开度学科排名




书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage被引频次




书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage被引频次学科排名




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书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage年度引用学科排名




书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage读者反馈




书目名称Security, Privacy, and Anonymity in Computation, Communication, and Storage读者反馈学科排名

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Blockchain-Based Mobility Management for LTE and Beyond,pre-handover phase, which significantly reduces the number of operations required during the intra-handover phase. A formal security analysis on BKDF is conducted with the Burrows-Abadi-Needham (BAN) logic, followed by an analysis on the effectiveness of BKDF against some of the well-known types of

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Ensuring Data Integrity in Fog Computing Based Health-Care Systems,t any damage done by a malicious transaction and spread by valid transactions must be corrected immediately and accurately. Here, we present two models for using fog computing in healthcare: an architecture using fog modules with heterogeneous data, and another using fog modules with homogeneous dat

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Modelling Security Requirements for Software Development with Common Criteria, this paper, we present a Usage Scenario and a Conceptual Model by extracting key security-related concepts from Common Criteria. The effectiveness is illustrated by a case study on Facebook Meta-Model, which is built for the evaluation purpose of Common Criteria models.

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Visualization of DNS Tunneling Attacks Using Parallel Coordinates Technique,ed for distinguishing between normal DNS traffic and malicious traffic containing DNS tunneling attacks. Finally, the proposed system was able to visualize the DNS tunneling attack efficiently for the future work of creating an efficient detection system.

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Osteons

Towards H-SDN Traffic Analytic Through Visual Analytics and Machine Learning,ed that data analytics applications have been successfully developed for various purposes as network security, traffic monitoring and traffic engineering. The success of data analytic applications is highly dependent on prior data analysis from both automated processing and human analysis. However,

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Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Dataur proposed DNN classifiers resulted in the highest accuracies with 100%. The others included: Logistic Regression (LR), Linear Discriminant Analysis (LDA), Gaussian Naive Bayes (NB), Neural Network, and VGGNet with the accuracy scores of 94.7%, 95.9%, 31.9%, 88.8%, and 96.1%, respectively.

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Paper Document Authentication Using Print-Scan Resistant Image Hashing and Public-Key Cryptography,e, extracted from a QR code, is decrypted with the public key of trusted authorities for identity verification, thus provides offline verification of printed documents without the need of online network access or database.

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