Smart Search Over Encrypted Cloud Multimedia Data By using Machine Learning

Mehwish, Husna (2023) Smart Search Over Encrypted Cloud Multimedia Data By using Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

Many people are looking forward to using the cloud to save their data. This is because of the progress in technology in the computing industry. If you want to outsource a sensitive amount of data into the CS, it is best to encrypt the personal data first, to protect its security. However, current search techniques are not much efficient and they don’t support documentation and image search simultaneously. Data in the encrypted form is difficult to search because encryption scrambles the content. Ranked keyword searches are receiving a lot of attention because they bring the most relevant data quickly. The present ranked keyword search, however, does not support other multimedia materials and focuses only on text documents and their content. And searching for encrypted multimedia data files on the cloud is a very challenging task. To solve this issue we used a search scheme based on machine learning. The k-mean and b-tree algorithms are used for clustering. Users can add custom tags for all the files he is uploading. We also provided search specifications such as AND, NOT, synonym search, etc. to make the search easier for the user. Without any compromise on accuracy, we used the Customized Query Execution(CQE) algorithm to reduce the search complexity. Our experimental results are also presented in this paper based on accuracy and latency. Evaluation of our scheme proves that the scheme is protecting index privacy and keywords. Experimental evidence from using a real-world dataset has revealed that our plans are accurate and feasible in realistic applications.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Kazmi, Aqeel UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	19 Apr 2023 11:31
Last Modified:	19 Apr 2023 11:31
URI:	https://norma.ncirl.ie/id/eprint/6477

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