DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER

MUNISH, CHOUHAN (2017) DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER. Masters thesis, Universiti Teknologi PETRONAS.

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2017 - INFORMATION TECHNOLOGY - DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER - MUNISH CHOUHAN.pdf
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Abstract

Cloud computing empowers various different users to share configurable
computing resources. Resource sharing benefits users in lowering their financial
burden, therefore, helps in boosting start-ups with rational capital. However, resource
sharing raises the risk of a breach in data security and privacy. In cloud computing,
multiple virtual machines (VM) share common underlying infrastructure, like
network, memory units, etc. Multiple VMs sharing the same cache in cloud
computing are creating opportunities for the Cache-based Side Channel Attack
(CSCA).

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 30 Sep 2021 22:11
Last Modified: 30 Sep 2021 22:11
URI: http://utpedia.utp.edu.my/id/eprint/22009

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