CloudArmor: Supporting Reputation-based Trust Management for Cloud Services

    

ABSTRACT:

Trust management is one of the most challenging issues for the adoption and growth of cloud computing. The highly dynamic, distributed, and non-transparent nature of cloud services introduces several challenging issues such as privacy, security, and availability. Preserving consumers’ privacy is not an easy task due to the sensitive information involved in the interactions between consumers and the trust management service. Protecting cloud services against their malicious users (e.g., such users might give misleading feedback to disadvantage a particular cloud service) is a difficult problem. Guaranteeing the availability of the trust management service is another significant challenge because of the dynamic nature of cloud environments. In this article, we describe the design and implementation of CloudArmor, a reputation-based trust management framework that provides a set of functionalities to deliver Trust as a Service (TaaS), which includes i) a novel protocol to prove the credibility of trust feedbacks and preserve users’ privacy, ii) an adaptive and robust credibility model for measuring the credibility of trust feedbacks to protect cloud services from malicious users and to compare the trustworthiness of cloud services, and iii) an availability model to manage the availability of the decentralized implementation of the trust management service. The feasibility and benefits of our approach have been validated by a prototype and experimental studies using a collection of real-world trust feedbacks on cloud services.

AIM:

The main aim is to preserve the user’s privacy, security, and availability in cloud services. We tend design and implementation of CloudArmor, a reputation-based trust management framework that provides a set of functionalities to deliver Trust as a Service (TaaS). 

SCOPE:

The Scope of this project is to create a reputation-based trust management framework that provides a set of functionalities to deliver Trust as a Service (TaaS). This TaaS Includes

1.   A novel protocol to prove the credibility of trust feedbacks and preserve users’ privacy

2.   An adaptive and robust credibility model for measuring the credibility of trust feedbacks to protect cloud services from malicious users and to compare the trustworthiness of cloud services

3.   An availability model to manage the availability of the decentralized implementation of the trust management service.

EXISTING SYSTEM:

This paper focuses on improving trust management in cloud environments by proposing novel ways to ensure the credibility of trust feedbacks. 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. In reality, it is not unusual that a cloud service experiences malicious behaviors (e.g., collusion or Sybil attacks) from its users. 

DISADVANTAGES:

The following key issues of the trust management in cloud environments:

1. Consumers’ Privacy
2. Cloud Services Protection
3.   Trust Management Service’s Availability

PROPOSED SYSTEM:

This proposes design and the implementation of CloudArmor (CLOud consUmers credibility Assessment & tRust manageMent of clOud seRvices): A framework for reputation-based trust management in cloud environments. In CloudArmor, trust is delivered as a service (TaaS) where TMS spans several distributed nodes to manage feedbacks in a decentralized way. CloudArmor exploits techniques to identify credible feedbacks from malicious ones.

ADVANTAGES:
The platform provides an environment where users can give feedback and request trust assessment for a particular cloud service. Specifically, the trust management service (TMS) consists of two main components:

1.      The Trust Data Provisioning

2.      The Trust Assessment Function

SYSTEM ARCHITECTURE:

SYSTEM CONFIGURATION

Hardware Requirements

• Speed                  -    1.1 Ghz
• Processor              -    Pentium IV
• RAM                    -    512 MB (min)
• Hard Disk            -    40 GB
• Key Board          -    Standard Windows Keyboard
• Mouse                  -    Two or Three Button Mouse
• Monitor                -     LCD/LED

 Software requirements

• Operating System                : Windows 7             
•  Front End                           : ASP.Net and C#
• Database                             : MSSQL
• Tool                                    : Microsoft Visual studio

REFERENCES:
Talal H. Noor, Quan Z. Sheng, Lina Yao, Schahram Dustdar and Anne H.H. Ngu “CLOUDARMOR: SUPPORTING REPUTATION-BASED TRUST MANAGEMENT FOR CLOUD SERVICES” IEEE Transactions On Parallel And Distributed Systems, Volume: PP, Issue: 99,   January 2015