| Type of Material: | Thesis |
| Title: | Privacy preservation model in the cloud computing environment using glowworm swarm based whale optimization algorithm |
| Researcher: | Yogita,Deepak,Sinkar |
| Guide: | Rajabhushanam,C |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2021 |
| Language: | English |
| Subject: | Computer Science | Computer Science Interdisciplinary Applications | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2021; D15CS509 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aYogita,Deepak,Sinkar|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aPrivacy preservation model in the cloud computing environment using glowworm swarm based whale optimization algorithm |
| 260 | __ | |aChennai|bBharath University, Chennai|c2021 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2021|oD15CS509 |
| 520 | __ | |aPrivacy preservation is significantly required to eliminate the exposure of patient sensitive data. Various privacy preservation methods are adopted in the cloud framework, but protecting the individual s personal data is still a challenging issue in the cloud environment. Therefore, an effective privacy preservation framework is developed to protect the user medical data. Initially, the input medical data is collected and subjected to the filtering mechanism to perform the privacy preservation process. The filtering mechanism is progressed using the 2D Infinite Impulse Response (IIR) filter, which generates a filter matrix using the filter factoring model. The generated filter matrix is used to construct the privacy preserved data, where the filter vector is based on the proposed Glowworm Swarm-based Whale Optimization algorithm (GWOA), which is the integration of Glowworm Swarm Optimization (GSO) and Whale Optimization Algorithm (WOA). The resulted privacy preserved data is subjected to the data storage s |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Interdisciplinary Applications |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aRajabhushanam,C|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/349703|yShodhganga |
| 905 | __ | |afromsg |
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