Dec 4, 2015 · A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning.

In this paper, we focus on one risk at the virtual machine level and the co-resident attack, where by constructing various types of side channels, malicious ...

May 4, 2015 · YI HAN ET AL.: A GAME THEORETICAL APPROACH TO DEFEND AGAINST CO-RESIDENT ATTACKS IN CLOUD COMPUTING USING SEMI-. SUPERVISED LEARNING. 3. 1. We ...

A Game Theoretical Approach to Defend against Co-resident Attacks using Semi ... Computing: Preventing Co-residence using Semi-supervised Learning,” accepted.

Han et al. A game theoretical approach to defend against co-resident attacks in cloud computing: preventing co-residence using semi-supervised learning. IEEE ...

Sep 14, 2016 · A game theoretical approach to defend against co resident attacks in cloud computing preventing co-residence using semi-supervised learning.

A game theoretical ap- proach to defend against co-resident attacks in cloud computing: preventing · co-residence using semi-supervised learning. IEEE Trans ...

Sep 19, 2015 · Theoretical Approach to Defend against Co-resident Attacks in Cloud. Computing: Preventing Co-residence using Semi-supervised Learning,” ...

A game theoretical approach to defend against co- resident attacks in cloud computing: Preventing co-residence using semi- supervised learning. IEEE Trans ...

A game theoretical approach to defend against co-resident attacks in cloud computing: Preventing co-residence using semi-supervised learning. IEEE Trans. Inf ...