Insider Collusion Attack on Privacy-Preserving Kernel-Based Data Mining Systems

In this paper, we consider a new insider threat for the privacy preserving work of distributed kernel-based data mining (DKBDM), such as distributed support vector machine. Among several known data breaching problems, those associated with insider attacks have been rising significantly, making this...

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Detalles Bibliográficos

Autores principales:	Peter Shaojui Wang, Feipei Lai, Hsu-Chun Hsiao, Ja-Ling Wu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2016-01-01
Colección:	IEEE Access
Materias:	Privacy preserving data mining insider attack data hiding kernel
Acceso en línea:	https://ieeexplore.ieee.org/document/7462997/
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