Cloud users no longer physically possess their data, so how to ensure the integrity of their outsourced data becomes a challenging task. Recently proposed schemes such as “provable data possession” and “proofs of retrievability” are designed to address this problem, but they are designed to audit static archive data and therefore lack of data dynamics support. Moreover, threat models in these schemes usually assume an honest data owner and focus on detecting a dishonest cloud service provider despite the fact that clients may also misbehave. This paper proposes a public auditing scheme with data dynamics support and fairness arbitration of potential disputes. In particular, we design an index switcher to eliminate the limitation of index usage in tag computation in current schemes and achieve efficient handling of data dynamics. To address the fairness problem so that no party can misbehave without being detected, we further extend existing threat models and adopt signature exchange idea to design fair arbitration protocols, so that any possible dispute can be fairly settled. The security analysis shows our scheme is provably secure, and the performance evaluation demonstrates the overhead of data dynamics and dispute arbitration are reasonable.

EXISTING SYSTEM:

According to researchers at Berkeley, trust and security are ranked one of the top 10 obstacles for the adoption of cloud computing. Indeed, Service-Level Agreements (SLAs). Consumers’ feedback is a good source to assess the overall trustworthiness of cloud services. Several researchers have recognized the significance of trust management and proposed solutions to assess and manage trust based on feedbacks collected from participants.

DISADVANTAGES OF EXISTING SYSTEM:

  • Guaranteeing the availability of TMS is a difficult problem due to the unpredictable number of users and the highly dynamic nature of the cloud environment.
  • A Self-promoting attack might have been performed on cloud service sy, which means sx should have been selected instead.
  • Disadvantage a cloud service by giving multiple misleading trust feedbacks (i.e., collusion attacks)
  • Trick users into trusting cloud services that are not trustworthy by creating several accounts and giving misleading trust feedbacks (i.e., Sybil attacks).

 

PROPOSED SYSTEM:

  • Cloud service users’ feedback is a good source to assess the overall trustworthiness of cloud services. In this paper, we have presented novel techniques that help in detecting reputation based attacks and allowing users to effectively identify trustworthy cloud services.
  • We introduce a credibility model that not only identifies misleading trust feedbacks from collusion attacks but also detects Sybil attacks no matter these attacks take place in a long or short period of time (i.e., strategic or occasional attacks respectively).
  • We also develop an availability model that maintains the trust management service at a desired level. We also develop an availability model that maintains the trust management service at a desired level.

 

 

ADVANTAGES OF PROPOSED SYSTEM:

  • TrustCloud framework for accountability and trust in cloud computing. In particular, TrustCloud consists of five layers including workflow,
  • Propose a multi-faceted Trust Management (TM) system architecture for cloud computing to help the cloud service users to identify trustworthy cloud service providers.

 

SYSTEM ARCHITECTURE:

 

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

 

  • System :         Pentium IV 2.4 GHz.
  • Hard Disk :         40 GB.
  • Floppy Drive : 44 Mb.
  • Monitor : 15 VGA Colour.
  • Mouse :
  • Ram : 512 Mb.

 

SOFTWARE REQUIREMENTS:

 

  • Operating system : Windows XP/7.
  • Coding Language : JAVA/J2EE
  • IDE : Netbeans 7.4
  • Database : MYSQL

 

Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Dynamic and Public Auditing with Fair Arbitration for Cloud Data

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