Trust models in grid computing: A review

被引:0
|
作者
Sharma D. [1 ]
Singh S. [2 ]
Mittal M. [3 ]
机构
[1] Department of Computer Science, Chandigarh Group of Colleges, Mohali, Landran, Punjab
[2] Department of Computer Science, PEC University of Technology, Chandigarh
[3] Department of Computer Science, G.B Pant Govt. Engg. College, Okhla, New Delhi
关键词
Grid computing; Reputation; Risk; Trust; Trust decay; Trust evaluation;
D O I
10.2174/1872212112666180427143757
中图分类号
学科分类号
摘要
Background: Grid computing relates to a pool of resources to be shared by users in Grid Environment. Security of the resources from users and vice-versa is a significant issue. This is where the notion of trust comes into existence. A number of researchers have proposed models for evaluation of trust in grid computing, but they fail to spot one or the other parameters for trust evaluation. The essence of trust models in grid computing is that they offer autonomic trust management. An autonomic trust model has been patented by Z. Yan and C. Prehofer in 2009. Another patent was published by Anna University in 2010 to evaluate the trustworthiness of a resource provider in Grid environment. Objective: This paper firstly focuses and illustrates these essential parameters. Based on these parameters, further, a comparison of some existing models for trust evaluation is shown. Finally, common parameters missed out by various models have been highlighted giving way for improvements of Trust model. Methods: A Trust evaluation model has been proposed by us previously based on a number of real-world trust evaluation parameters. This model sees trust as a three-dimensional entity. Trust is based on Dempter Shafer’s theory in which trust is calculated mathematically. Results: Software trust needs to be calculated mathematically. There are a large number of real-world parameters that need to be included for evaluating trust. Conclusion: As trust models in research are based on simulation techniques, so it is important to include real-world factors that affect trust value of one entity on other. Some of those parameters, missed by most of the models have been identified for inclusion in future trust models. © 2019 Bentham Science Publishers.
引用
收藏
页码:94 / 100
页数:6
相关论文
共 50 条
  • [1] Literature Review of Trust Models for Cloud Computing
    Georgiopoulou, Zafeiroula
    Lambrinoudakis, Costas
    2016 15TH INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING (ISPDC), 2016, : 208 - 213
  • [2] Trust management in grid computing systems based on probability theory
    Ashrafijoo B.
    Nia M.K.M.
    Navin A.H.
    Abedini S.
    Azari N.
    ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer, 2010, 4 : V4316 - V4320
  • [3] Security for Resource Selection in Grid Computing Based On Trust and Reputation Responsiveness
    Vijayakumar, V.
    Banu, R. S. D. Wahida
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (11): : 107 - 115
  • [4] Secured Resource Selection in Grid Computing: Trust and Reputation Sentient Scheme
    Vijayakumar, V.
    Banu, R. S. D. Wahida
    ADVANCES IN COMMUNICATION AND NETWORKING, 2009, 27 : 169 - 183
  • [5] Evolving and managing trust in grid computing systems
    Azzedin, F
    Maheswaran, M
    IEEE CCEC 2002: CANADIAN CONFERENCE ON ELECTRCIAL AND COMPUTER ENGINEERING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2002, : 1424 - 1429
  • [6] Managing Behaviour Trust in Grid Computing Environments
    Papalilo, Elvis
    Freisleben, Bernd
    JOURNAL OF INFORMATION ASSURANCE AND SECURITY, 2008, 3 (01): : 27 - 37
  • [7] Randomized Algorithm for Trust Model in Grid Computing using GridSim Components
    Kumar, G. Mahesh
    Ramachandram, S.
    Gyani, Jayadev
    2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2015, : 936 - 941
  • [8] Review on Computational Trust and Reputation Models
    Jordi Sabater
    Carles Sierra
    Artificial Intelligence Review, 2005, 24 : 33 - 60
  • [9] Review on computational trust and reputation models
    Sabater, J
    Sierra, C
    ARTIFICIAL INTELLIGENCE REVIEW, 2005, 24 (01) : 33 - 60
  • [10] A study on Trust Models in Cloud Computing
    Balcao Filho, Amandio
    Rosa, Ferrucio de Franco
    Ruiz, Rodrigo
    Bonacin, Rodrigo
    Jino, Mario
    2019 IEEE/ACS 16TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA 2019), 2019,