학술논문

A Highly-Secure Self-Protection Data Scheme in Clouds Using Active Data Bundles and Agent-Based Secure Multi-party Computation
Document Type
Conference
Source
2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud) CSCLOUD Cyber Security and Cloud Computing (CSCloud), 2017 IEEE 4th International Conference on. :228-236 Jun, 2017
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Cloud computing
Metadata
Encryption
Distributed databases
Data privacy
Active Data Bundle
Attribute-based Encryption
Cloud Computing
JADE
Multi-agent Systems
Multi-party Computation
Privacy
Security
Self-protecting Data.
Language
Abstract
Protection of data in cloud computing is a critical problem for many enterprises. We propose a solution that protects sensitive data outsourced to a cloud throughout their entire life cycle—both in the cloud as well as outside of the cloud (e.g., during transmission to or from the cloud). Our solution, known as Active Data Bundles using Secure Multi-Party Computation (ADB-SMC), uses: (i) active data bundles (ADBs)—for self-protecting data; (ii) ciphertext-policy attribute-based encryption—for fine-grained access control; and, (iii) threshold RSA—for secure key management. We describe components and design of ADB-SMC and present the pseudocode for creating ADB to outsource data to the cloud. We implemented a prototype of the solution and compared its overhead with the overhead of the approach known as Active Bundles with Trusted Third Party (ABTTP). The results of performance tests show that the execution time overhead for ADBSMC is acceptable.