Towards Secure Big Data Computing
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Case Western Reserve University School of Graduate Studies / OhioLINK
2018
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=case1529929603348119 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-case15299296033481192021-08-03T07:07:20Z Towards Secure Big Data Computing Luo, Changqing Computer Engineering We are now in the big data era. We are able to collect more data than ever before from various systems and applications, such as the Internet of Things, cyber-physical systems, smart cities, and smart healthcare. Analyzing such data usually requires intensive computations, which poses a great challenge to us. Cloud computing is an efficient and economical way to overcome this limitation. However, it raises security and privacy concerns because users' data may contain sensitive information for ethical, legal, or security reasons. Some previous works attempt to address these concerns and propose algorithms that can be classified into two categories: traditional cryptography based methods and linear transformation based methods. Unfortunately, these algorithms are not efficient for practical big data applications because the former still bears high computational complexity while the latter incurs high communication cost and has no security guarantee. To this end, I investigate how to efficiently solve big data computing problems with low computation and communication cost, while protecting data security. Specifically, this dissertation focuses on three big data computing problems, i.e., matrix factorizations, tensor decompositions, and nonlinear programming problems. Solving these problems can lay the foundation for supporting secure applications in many different areas, including healthcare, power grid, finance, etc. 2018-08-31 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1529929603348119 http://rave.ohiolink.edu/etdc/view?acc_num=case1529929603348119 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Computer Engineering |
| spellingShingle |
Computer Engineering Luo, Changqing Towards Secure Big Data Computing |
| author |
Luo, Changqing |
| author_facet |
Luo, Changqing |
| author_sort |
Luo, Changqing |
| title |
Towards Secure Big Data Computing |
| title_short |
Towards Secure Big Data Computing |
| title_full |
Towards Secure Big Data Computing |
| title_fullStr |
Towards Secure Big Data Computing |
| title_full_unstemmed |
Towards Secure Big Data Computing |
| title_sort |
towards secure big data computing |
| publisher |
Case Western Reserve University School of Graduate Studies / OhioLINK |
| publishDate |
2018 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=case1529929603348119 |
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AT luochangqing towardssecurebigdatacomputing |
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