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Title page for etd-0813113-153853


URN etd-0813113-153853 Statistics This thesis had been viewed 1426 times. Download 0 times.
Author Tzu-Yen Zhang
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2012 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 56
Title A Study of Multi-keyword Search over Encrypted Data
Keyword
  • Groups Search
  • cloud storage service
  • Multi-keyword search
  • data security
  • data security
  • Multi-keyword search
  • cloud storage service
  • Groups Search
  • Abstract Cloud computing is currently very popular issues and opportunities nowadays, in which cloud storage service not only provides the public cloud storage services for users to cope with the digital data that grow with each passing day, but also helps enterprises to build their private clouds to provide the more flexible storage architecture. However, to build a cloud storage services must rely on the implementations of virtualization and security mechanisms. When the users access the cloud data via Internet, the security mechanism must be able to avoid unauthorized access, distinguish the required data from different users and applications, provide the encryption and search for the storage data, and such on. However, when the data is stored in the database with Ciphertext type, the Data Manager will not be able to search the data by keyword. Therefore, an efficient ciphertext search technique for cloud storage service is very important, the technique can ensure the data confidentiality by using ciphertext and allow the administrator can search the data by keyword. According to this, the research designs an encrypted search technology which utilizes the multi-keyword to search the encrypted data, and utilizes the technology to achieve data security for cloud storage.
    Advisor Committee
  • Prof. Kuo-Hsuan Huang - advisor
  • Files indicate in-campus access at 5 years and off-campus not accessible
    Date of Defense 2013-07-25 Date of Submission 2013-08-14


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