Friday 23 October 2015

An Authenticated Trust and Reputation Calculation and Management System for Cloud and Sensor Networks Integration


ABSTRACT
Induced by incorporating the powerful data storage and data processing abilities of cloud computing (CC) as well as ubiquitous data gathering capability of wireless sensor networks (WSNs), CC-WSN integration received a lot of attention from both academia and industry. However, authentication as well as trust and reputation calculation and management of cloud service providers (CSPs) and sensor network providers (SNPs) are two very critical and barely explored issues for this new paradigm. To fill the gap, this paper proposes a novel authenticated trust and reputation calculation and management (ATRCM) system for CC-WSN integration. Considering (i) the authenticity of CSP and SNP; (ii) the attribute requirement of cloud service user (CSU) and CSP; (iii) the cost, trust and reputation of the service of CSP and SNP, the proposed ATRCM system achieves the following three functions: 1) authenticating CSP and SNP to avoid malicious impersonation attacks; 2) calculating and managing trust and reputation regarding the service of CSP and SNP; 3) helping CSU choose desirable CSP and assisting CSP in selecting appropriate SNP. Detailed analysis and design as well as further functionality evaluation results are presented to demonstrate the effectiveness of ATRCM, followed with system security analysis.
AIM
The aim of this paper is paper proposes a novel authenticated trust and reputation calculation and management (ATRCM) system for CC-WSN integration
SCOPE
The scope of this paper ATRCM system achieves the following three functions: 1) authenticating CSP and SNP to avoid malicious impersonation attacks; 2) calculating and managing trust and reputation regarding the service of CSP and SNP; 3) helping CSU choose desirable CSP and assisting CSP in selecting appropriate SNP

EXISTING SYSTEM
Malicious attackers may impersonate authentic CSPs to communicate with CSUs, or fake to be authentic SNPs to communicate with CSPs. Then CSUs and CSPs cannot eventually achieve any service from the fake CSPs and SNPs respectively. In the meantime, the trust and reputation of the genuine CSPs and SNPs are also impaired by these fake CSPs and SNPs. Without trust and reputation calculation and management of CSPs and SNPs, it is easy for CSU to choose a CSP with low trust and reputation. Then the service from CSP to CSU fails to be successfully delivered quite often. Moreover, CSP may easily select an untrustworthy SNP that delivers the service that the CSP requests with an unacceptable large latency. Moreover, the untrustworthy SNP probably may only be able to provide the requested service for a very short time period unexpectedly
DISADVANTAGES:

  1.  Authentication of CSPs and SNPs
  2. Trust and reputation calculation and management of CSPs and SNP

PROPOSED SYSTEM
In this paper, further proposes an ATRCM system for the CC-WSN integration. It incorporates authenticating CSP and SNP, and then considers the attribute requirement of CSU and CSP as well as cost, trust and reputation of the service of CSP and SNP, to enable CSU to choose authentic and desirable CSP and assists CSP in selecting genuine and appropriate SNP.
ADVANTAGES:

  1. Authenticating CSP and SNP to avoid malicious impersonation attacks
  2. Calculating and managing trust and reputation regarding the service of CSP and SNP
  3. Helping CSU choose desirable CSP and assisting CSP in selecting appropriate SNP

 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
Chunsheng Zhu, Nicanfar, H. , Leung, V.C.M. , Yang, L.T.”An Authenticated Trust and Reputation Calculation and Management System for Cloud and Sensor Networks Integration” IEEE Transactions On Information Forensics And Security, VOL 10,ISS 1, OCTOBER  2014.

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