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An Autonomous Trust Model for Cloud Integrated Framework

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Computational Vision and Bio Inspired Computing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 28))

Abstract

Cloud integrated frameworks (CIF) lay the ground work for controlling and managing data gathered from various sources. Data quality trust addresses detection of manipulation, concealment and rollbacks on data exchanged in CIF. The work presented here proposes a trust enhanced CIF that comprehensively takes into account processing, transmission, privacy, data quality and recommendation in addition to availability, bandwidth of the servicing. A weighted average computation using weights derived from Service Level Agreement given by CSU is proposed over a moving window on the performances maintained by Trusted Centre Entity (TCE). TCE monitors the system for malicious behaviours of CSPs that may change the behaviour of the system. It assures data quality using Merkle hash tree (MHT) and manages the trust and reputation scores for the CSPs in the trust enhanced CIF. It performs public auditability to detect data roll back, data concealment and incorrect data. The work proposes a scheme that provides for autonomous trust management in CIFs.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    C. K. Shyamala & Ashwathi Chandran

Authors
  1. C. K. Shyamala
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  2. Ashwathi Chandran
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Correspondence to C. K. Shyamala .

Editor information

Editors and Affiliations

  1. Karunya University , Coimbatore, Tamil Nadu, India

    D. Jude Hemanth

  2. RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

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Shyamala, C.K., Chandran, A. (2018). An Autonomous Trust Model for Cloud Integrated Framework. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-71767-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71766-1

  • Online ISBN: 978-3-319-71767-8

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