An Efficient Client-Side Security in Cloud Computing: Implementing Data Shifting, Splitting, and Shuffling Techniques
When: Wednesday,
November 13, 2024
9:30 AM
-
10:30 AM
Where: > See description for location
Description: Location: Join Zoom Meeting
https://umassd.zoom.us/j/91928139091?pwd=N5ipRYGOl9BDxzZvsZjn5bfqfwCH75.1
Meeting ID: 919 2813 9091
Passcode: 016153
Advisor: Dr. Haiping Xu
Committee Members: Dr. Yuchou Chang and Dr. Long Jiao
Title: Efficient Client-Side Security in Cloud Computing: Implementing Data Shifting, Splitting, and Shuffling Techniques
Abstract: As cybersecurity threats continue to evolve, our approach to data protection must also advance. Technology companies have introduced a variety of security measures to protect user information, including data stored in their own cloud and data managed through a Cloud Service Provider (CSP). Despite these efforts, significant data breaches remain common, highlighting the challenge of fully guaranteeing data security. This has led to the adoption of client-side security practices, where users take protective measures by encrypting their data before transmitting it to the cloud. However, traditional encryption methods can be very inefficient and time-consuming when dealing with large files or big data. In this thesis, we introduce a novel client-side security technique using Data Shifting, Splitting, and Shuffling (DS3) methods. The DS3 technique involves shifting bytes of a large file to disrupt its structure, splitting the file into multiple small files to be processed concurrently, and shuffling them using the Fisher-Yates shuffling algorithm to obfuscate the data in the original file. After shuffling, these smaller files can be uploaded to multiple cloud storages concurrently. Our client-side security approach enables users to protect their data before it is uploaded to the cloud, safeguarding it even if any of the CSPs fall victim to a data breach. To validate the efficiency and feasibility of the DS3 approach, we developed a prototype software that supports secure data upload and download using the DS3 mechanism as well as three popular encryption algorithms: Advanced Encryption Standard (AES), Caesar Cipher, and Triple Data Encryption Standard (3DES). Experimental results show that the DS3 method offers greater efficiency compared to the traditional encryption methods in securing large files in the cloud.
All CIS graduate students are encouraged to attend. For further information please contact Dr. Haiping Xu at hxu@umassd.edu
https://umassd.zoom.us/j/91928139091?pwd=N5ipRYGOl9BDxzZvsZjn5bfqfwCH75.1
Meeting ID: 919 2813 9091
Passcode: 016153
Advisor: Dr. Haiping Xu
Committee Members: Dr. Yuchou Chang and Dr. Long Jiao
Title: Efficient Client-Side Security in Cloud Computing: Implementing Data Shifting, Splitting, and Shuffling Techniques
Abstract: As cybersecurity threats continue to evolve, our approach to data protection must also advance. Technology companies have introduced a variety of security measures to protect user information, including data stored in their own cloud and data managed through a Cloud Service Provider (CSP). Despite these efforts, significant data breaches remain common, highlighting the challenge of fully guaranteeing data security. This has led to the adoption of client-side security practices, where users take protective measures by encrypting their data before transmitting it to the cloud. However, traditional encryption methods can be very inefficient and time-consuming when dealing with large files or big data. In this thesis, we introduce a novel client-side security technique using Data Shifting, Splitting, and Shuffling (DS3) methods. The DS3 technique involves shifting bytes of a large file to disrupt its structure, splitting the file into multiple small files to be processed concurrently, and shuffling them using the Fisher-Yates shuffling algorithm to obfuscate the data in the original file. After shuffling, these smaller files can be uploaded to multiple cloud storages concurrently. Our client-side security approach enables users to protect their data before it is uploaded to the cloud, safeguarding it even if any of the CSPs fall victim to a data breach. To validate the efficiency and feasibility of the DS3 approach, we developed a prototype software that supports secure data upload and download using the DS3 mechanism as well as three popular encryption algorithms: Advanced Encryption Standard (AES), Caesar Cipher, and Triple Data Encryption Standard (3DES). Experimental results show that the DS3 method offers greater efficiency compared to the traditional encryption methods in securing large files in the cloud.
All CIS graduate students are encouraged to attend. For further information please contact Dr. Haiping Xu at hxu@umassd.edu
Contact: > See Description for contact information
Topical Areas: Faculty, Staff and Administrators, Students, Computer and Information Science