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

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...

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Main Author: MUNISH, CHOUHAN
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22009 /
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/22009/1/2017%20-%20INFORMATION%20TECHNOLOGY%20-%20DETECTION%20OF%20CACHE-BASED%20SIDE%20CHANNEL%20ATTACK%20IN%20PRIVATE%20CLOUD%20COMPUTING%20USING%20BLOOM%20FILTER%20-%20MUNISH%20CHOUHAN.pdf
http://utpedia.utp.edu.my/22009/
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id utp-utpedia.22009
recordtype eprints
spelling utp-utpedia.220092021-09-30T22:11:04Z http://utpedia.utp.edu.my/22009/ DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER MUNISH, CHOUHAN QA75 Electronic computers. Computer science 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). 2017-09 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22009/1/2017%20-%20INFORMATION%20TECHNOLOGY%20-%20DETECTION%20OF%20CACHE-BASED%20SIDE%20CHANNEL%20ATTACK%20IN%20PRIVATE%20CLOUD%20COMPUTING%20USING%20BLOOM%20FILTER%20-%20MUNISH%20CHOUHAN.pdf MUNISH, CHOUHAN (2017) DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
MUNISH, CHOUHAN
DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
description 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).
format Thesis
author MUNISH, CHOUHAN
author_sort MUNISH, CHOUHAN
title DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
title_short DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
title_full DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
title_fullStr DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
title_full_unstemmed DETECTION OF CACHE-BASED SIDE CHANNEL ATTACK IN PRIVATE CLOUD COMPUTING USING BLOOM FILTER
title_sort detection of cache-based side channel attack in private cloud computing using bloom filter
publishDate 2017
url http://utpedia.utp.edu.my/22009/1/2017%20-%20INFORMATION%20TECHNOLOGY%20-%20DETECTION%20OF%20CACHE-BASED%20SIDE%20CHANNEL%20ATTACK%20IN%20PRIVATE%20CLOUD%20COMPUTING%20USING%20BLOOM%20FILTER%20-%20MUNISH%20CHOUHAN.pdf
http://utpedia.utp.edu.my/22009/
_version_ 1741195811109208064
score 11.62408

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