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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | TOWARDS ACHIEVING KEYWORD SEARCH OVER DYNAMIC ENCRYPTED CLOUD DATA WITH SYMMETRIC-KEY BASED VERIFICATION |
| Authors Name: | Dr K. Vijaya Bhaskar , U. Muni Sekhar , S. Nayaz , B VaraLakshmi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_206198
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| Published Paper Id: | IJNRD2310020 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | Cloud computing has become a popular approach to manage personal data for the economic savings and management flexibility in recent year. However, the sensitive data must be encrypted before outsourcing to cloud servers for the consideration of privacy, which makes some traditional data utilization functions, such as the plaintext keyword search, impossible. To solve this problem, we present multi-keyword ranked search scheme over encrypted cloud data supporting dynamic operations efficiently. Our scheme utilizes the vector space model combined with TF IDF rule and cosine similarity measure to achieve a multi-keyword ranked search. However, traditional solutions have to suffer high computational costs. In order to achieve the sub-linear search time, our scheme introduces Bloom filter to build a search index tree. What is more, our scheme can support dynamic operation properly and effectively on the account of the property of the Bloom filter, which means that the updating cost of our scheme is lower than other schemes. We present our basic scheme first, which is secure under the known cipher text model. Then, the enhanced scheme is presented later to guarantee security even under the known background model. The experiments on the real-world data set show that the performances of our proposed schemes are satisfactory. |
| Keywords: | Bloom filter, Cloud computing, IDF rule, Scheme, Vector space |
| Cite Article: | "TOWARDS ACHIEVING KEYWORD SEARCH OVER DYNAMIC ENCRYPTED CLOUD DATA WITH SYMMETRIC-KEY BASED VERIFICATION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.a169-a177, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310020.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2310020 Registration ID: 206198 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): Page No: a169-a177 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310020 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310020 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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