PREDICT: Privacy and Security Enhancing Dynamic Information Collection and Monitoring | Zendy

Li Xiong | Zendy; Vaidy Sunderam | Zendy; Liyue Fan | Zendy; Slawomir Goryczka | Zendy; Layla Pournajaf | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

PREDICT: Privacy and Security Enhancing Dynamic Information Collection and Monitoring

Author(s) -

Li Xiong,

Vaidy Sunderam,

Liyue Fan,

Slawomir Goryczka,

Layla Pournajaf

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.367

Subject(s) - computer science , data collection , computer security , information sensitivity , data science , mathematics , statistics

In this paper, we present an overview of our ongoing project PREDICT (Privacy and secuRity Enhancing Dynamic Information Collection and moniToring). The overall aim of the project is to develop a framework with algorithms and mechanisms for privacy and security enhanced dynamic data collection, aggregation, and analysis with feedback loops. We discuss each of our research thrusts with research challenges and potential solutions, and report some preliminary results

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research