Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.31-44 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042408104&doi=10.1007%2f978-3-319-71767-8_3&partnerID=40&md5=d05333c317c2a97601025ae652d7b8fb

Abstract:

<p>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. © 2018, Springer International Publishing AG.</p>

Notes:

cited By 0

Cite this Research Publication

C. K. Shyamala and Chandran, A., “An autonomous trust model for cloud integrated framework”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 31-44, 2018.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS