Title: Reputation-based business policy violation detection of long-term composed services with efficient alleviation of malicious rating of violated service

Authors: S. Tiroumalmouroughane; P. Thambidurai

Addresses: Department of IT, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, U.T. of Puducherry, India ' Department of Electrical Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, U.T. of Puducherry, India

Abstract: The web services are the emergent technology in the field of business processes where the services offered by the organisation are managed through the framework called change management framework (CMF). By this framework any changes for the service offered by the organisation can be added, modified or replaced in the form of the service request offered by either the customer or other business parties thus it is helpful for the organisation to develop itself by satisfying the customer requirements in an autonomous manner. In this paper, we have presented a methodology for detecting the business policy violation with alternating Turing machine (ATM) and reputation measurement (RM). When a change request is encountered the detection of policy points is performed by ATM and if the policy violation occurs, it means reputation of the service is measured through RM by considering malicious intentions. In the case of non-policy violation or if the service has high reputation means that become integrated to the CMF otherwise it will be sent to the exception handler. The framework is implemented in the visual studio with DOTNET language and the performance is analysed with a different number of change requests.

Keywords: change management framework; CMF; long-term composed service; LCS; business policy violation; alternating Turing machine; ATM; reputation; web service integration; ballot stuff attack; fake identity.

DOI: 10.1504/IJCAET.2021.117147

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.2/3, pp.356 - 374

Received: 17 Oct 2018
Accepted: 16 Apr 2019
Published online: 19 Aug 2021 *

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