Defining Service Oriented Trust Assessment for Social Internet of Things (T-0752) (MFN 8313)

Welcome to DSpace BU Repository

Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Show simple item record

dc.contributor.author Muhammad Junaid Aslam, 01-241171-036
dc.date.accessioned 2019-05-21T06:39:09Z
dc.date.available 2019-05-21T06:39:09Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/8749
dc.description Supervised By Dr. Awais Ahmad en_US
dc.description.abstract The rapid advancements in the field of Internet and Social Networks have brought us to the edge of a real time connected world. In result of that, a new paradigm named Social Internet of Things (SIoT) is born. In SIoT, Social Networks merge with Internet of Things (IoT) to facilitate information and resource sharing among devices in an improved way. Devices seek and provide services among their friends or friends-of-friends. However, the users of this fascinating paradigm must be suspicious of their trust and privacy. Hence, Trust assessment becomes one of the primary challenges to ensure a reliable information discovery and exchange. In the System Architecture of SIoT, the task of trust assessment is responsibility of a module named Trustworthiness Management. This module resides on the application layer of SIoT Server and it closely works with modules, Service Discovery and Service Composition. We aim to define Service oriented trustworthiness assessment scheme for SIoT. This assessment is primarily focused on Service rather than Service Provider. To the best of our knowledge, this is a novel proposition in SIoT. We have proposed a parameter named Service Trust which is based on aggregation of multiple QoS parameters. This parameter is mathematically modeled. Due to lack of a real world SIoT Datasets based on Trust and the infancy of this field, we have used a real-world Bike Sharing company dataset for evaluation. The results attained after analysis are positive. A short Scenario-Based Analysis follows the dataset evaluation. Finally, conclusion and future work is presented. en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries MS SE;T-0752
dc.subject Software Engineering en_US
dc.title Defining Service Oriented Trust Assessment for Social Internet of Things (T-0752) (MFN 8313) en_US
dc.type MS Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account