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

HABIT

書目名稱Data and Applications Security and Privacy XXVI影響因子(影響力)




書目名稱Data and Applications Security and Privacy XXVI影響因子(影響力)學(xué)科排名




書目名稱Data and Applications Security and Privacy XXVI網(wǎng)絡(luò)公開度




書目名稱Data and Applications Security and Privacy XXVI網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data and Applications Security and Privacy XXVI被引頻次




書目名稱Data and Applications Security and Privacy XXVI被引頻次學(xué)科排名




書目名稱Data and Applications Security and Privacy XXVI年度引用




書目名稱Data and Applications Security and Privacy XXVI年度引用學(xué)科排名




書目名稱Data and Applications Security and Privacy XXVI讀者反饋




書目名稱Data and Applications Security and Privacy XXVI讀者反饋學(xué)科排名

Modify

Lumbar-Spine

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.

流眼淚

pericardium

bibliophile

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.

躺下殘殺

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?

細(xì)胞學(xué)

FLUSH

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