Efficient and Secure Content Processing and Distribution by Cooperative Intermediaries
Author
Elisa Bertino, Yunhua Koglin, Danfeng Yao
Entry type
article
Abstract
Content services such as content filtering and transcoding, adapt contents to meet system requirements, display capacities, or user preferences. Data security in such a framework is an important problem, and crucial for many web applications. In this paper, we propose an approach that addresses data integrity and confidentiality in content adaptation and caching by intermediaries. Our approach permits multiple intermediaries to simultaneously perform content services on different portions of the data. Our protocol supports decentralized proxy and key managements and flexible delegation of services. Our experimental results show that our approach is efficient and minimizes the amount of data transmitted across the network.
Date
2008 – 05
Journal
IEEE Transactions on Parallel and Distributed Systems
Key alpha
Bertino
Number
5
Pages
615-626
Volume
19
Affiliation
Purdue University
Publication Date
2008-05-00

