Improvement and Analysis of Encryption and Decryption Performance in Cloud Document

• Published in: Journal of networks Vol. 8; no. 9; p. 2071
• Main Authors: Zhuang, Yonglong, Weng, Xiaolan, Wang, Yuwu, Zhuang, Haiyang
• Format: Journal Article
• Language: English
• Published: Oulu Academy Publisher 01.09.2013
• Subjects: Algorithms; Cloud computing; Editing; Encryption; Internet; On-line systems; Privacy; Texts
• ISSN: 1796-2056; 1796-2056
• DOI: 10.4304/jnw.8.9.2071-2077

Cloud computing is the hot topic in recent years, and the cloud-based collaborative service is the emerging service. No matter where the users are or which computers the users use, it enables the cloud users to place their data into the cloud. As long as it connects to the Internet, it can store and get the data placed in the cloud. In the collaborative service situation, it can allow other cloud users in the group to share with the private information, such as the editing service in the on-line common file can make many collaborators jointly write a file. It encrypted and decrypted the whole file in the past in order to protect the data privacy, but it was rather time consuming in the multipeople collaboration. The paper analyzes the text editing in the collaborative service and introduces the rbTree-Doc framework in order to reduce the encrypted data number. Although it increases the cost of establishing and maintaining the rbTree-Doc, the experimental results show that the rbTree-Doc framework can make collaborators conduct the text editing function. When it conducts the insert, remove operations and the encrypted/decrypted algorithms, it adopts 3DES encryption algorithm to improve its 31.04% efficiency, and adopting AES encryption algorithm to improve its 23.94% efficiency.. Index Terms-Cloud Computing, Data Privacy, Collaborative Service, Red-Black Tree, Encryption Algorithm.