Time and Attribute Factors Combined Access Control on Time-Sensitive Data in Public Cloud
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This document proposes a new scheme called TAFC (Time and Attribute Factors Combined) access control for time-sensitive data stored in the cloud. It embeds timed-release encryption into ciphertext-policy attribute-based encryption (CP-ABE) to allow fine-grained access control based on user attributes and time factors. Existing approaches have limitations like high client overhead or lack of practical fully homomorphic encryption. The proposed TAFC scheme aims to address these issues by leveraging cloud storage advantages while protecting data confidentiality against untrusted cloud servers through attribute-based encryption.
Time and Attribute Factors Combined Access Control on Time-Sensitive Data in Public Cloud
- 1. Time and Attribute Factors Combined Access Control on Time- Sensitive Data in Public Cloud
- 2. INTRODCUTION • The new paradigm of outsourcing data to the cloud is a double-edged sword. • On one side, it frees up data owners from the technical management, and is easier for the data owners to share their data with intended recipients when data are stored in the cloud. • On the other side, it brings about new challenges about privacy and security protection.
- 3. Abstract • To protect data confidentiality against the honest-but- curious cloud service provider, numerous works have been proposed to support fine-grained data access control. • However, till now, no efficient schemes can provide the scenario of fine-grained access control together with the capacity of time-sensitive data publishing. • In this paper, by embedding the mechanism of timed- release encryption into CP-ABE • we propose TAFC: a new time and attribute factors combined access control on time sensitive data stored in cloud.
- 4. EXISTING SYSTEM • The conventional approach to address privacy in this context is to encrypt sensitive data before outsourcing it and run all computations on the client side. • However this imposes unacceptable client-overhead, as data must continuously be downloaded, decrypted, processed, and securely re-uploaded. • Many applications cannot cope with this overhead, particularly online and mobile applications operating over very large datasets such as image repositories with CBIR services. • Existing proposals in this domain remain largely unpractical, namely those requiring fully homomorphism encryption, which is still computationally too expensive.
- 5. PROPOSED SYSTEM • Cloud storage service has significant advantages on both convenient data sharing and cost reduction. • However, this new paradigm of data storage brings about new challenges about data confidentiality protection. • Data are no longer in data owner’s trusted domain, and he/she cannot trust the cloud server to conduct secure data access control. • Therefore, the secure access control problem has become a challenging issue in cloud storage.
- 6. Hardware Requirements • System : Pentium IV 3.4 GHz (Min)or Later versions. • Hard Disk : 40 GB. • Ram : 1 GB.(Min)
- 7. Software Requirements • Operating system : Windows Family. • Coding Language : J2EE (JSP,Servlet,Java Bean) • Data Base : MY Sql Server. • IDE : Eclipse Juno • Web Server : Tomcat 6.0