Titlebook: Data and Applications Security and Privacy XXVI; 26th Annual IFIP WG Nora Cuppens-Boulahia,Frédéric Cuppens,Joaquin Gar Conference proceed

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书目名称Data and Applications Security and Privacy XXVI影响因子(影响力)




书目名称Data and Applications Security and Privacy XXVI影响因子(影响力)学科排名




书目名称Data and Applications Security and Privacy XXVI网络公开度




书目名称Data and Applications Security and Privacy XXVI网络公开度学科排名




书目名称Data and Applications Security and Privacy XXVI被引频次




书目名称Data and Applications Security and Privacy XXVI被引频次学科排名




书目名称Data and Applications Security and Privacy XXVI年度引用




书目名称Data and Applications Security and Privacy XXVI年度引用学科排名




书目名称Data and Applications Security and Privacy XXVI读者反馈




书目名称Data and Applications Security and Privacy XXVI读者反馈学科排名

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https://doi.org/10.1007/978-3-319-72817-9es for score calculations. The framework serves as a test lab that allows finding the right parameters to satisfy a predefined threshold of type identification accuracy. We demonstrate the framework using basic settings that achieved an F-Measure success rate of 0.996 on 1400 test files.

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pericardium

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Privacy Consensus in Anonymization Systems via Game Theoryolve such games and elaborate the procedure using .-anonymity as a sample anonymization method. Our simulations of the game results in the case of .-anonymity reveals how the equilibrium values of . depend on the number of quasi-identifiers, maximum number of repetitive records, anonymization cost,

bibliophile

Code Type Revealing Using Experiments Frameworkes for score calculations. The framework serves as a test lab that allows finding the right parameters to satisfy a predefined threshold of type identification accuracy. We demonstrate the framework using basic settings that achieved an F-Measure success rate of 0.996 on 1400 test files.

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Randomizing Smartphone Malware Profiles against Statistical Mining Techniquesing the statistics of smartphone usage? 2) Are data mining algorithms robust against malware with random profiles? 3) Can simple consolidation of random profiles over a fixed time frame prepare a higher quality data source for existing algorithms?

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A User-to-User Relationship-Based Access Control Model for Online Social Networksform the basis of the OSN structure, and play a significant role in specifying and enforcing access control. Individual users and the OSN provider should be allowed to specify which access can be granted in terms of existing relationships. We propose a novel user-to-user relationship-based access co