Journal Article

SelTCS: a framework for selecting trustworthy cloud services

Thakur, Neha, Sangal, A L, Singh, Avtar

2023

Overview

Cloud computing is a computer science paradigm that has grown significantly in recent years. It provides on-demand access to a diverse set of software, infrastructure and platform services through the internet. However, due to their diversity and functional similarities, selecting trustworthy cloud services is a challenge. The absence of adequate trust evaluation methods for cloud services has hampered the widespread adoption of cloud computing. To address this issue and assist customers in selecting trustworthy cloud services, this paper presents a framework Selection of Trustworthy Cloud Services (SelTCS). SelTCS selects services by combining objective and subjective trust. A novel objective trust assessment approach has been presented that prioritizes quality-of-service attributes according to user preferences. Also, a novel subjective trust assessment approach is proposed which evaluates trust as a combination of reputation assessment based on aggregated user feedback that employs a modified hypertext induced topic search-based algorithm for identifying and removing malicious users, and direct trust based on users’ own experiences gained through direct interactions. Experiments using the Quality of Web Services (QWS) version 1.0 and Epinions datasets reveal that SelTCS greatly enhances the accuracy of trust evaluation and is more effective than existing approaches at detecting malicious user ratings.

• Publisher: Springer India,Springer Nature B.V
• Subject: Cloud computing / Customer services / Engineering / Hypertext / Optimization techniques / Ratings & rankings / Reputations / Small & medium sized enterprises-SME / Trust / Trustworthiness / User feedback / User needs / Utility computing / Web services