Abstract

Pervasive computing is a decentralised open environment where different devices interact without prior knowledge of each other, involving a large amount of data. Evaluating the relationship among heterogeneous devices in pervasive computing environment is a challenging task. In a distributed pervasive environment a device might be interested in knowing whether a provider has the information security practices certified by international standard authorities and also has high reputation due to past transactions with other consumer. Therefore an integrated approach (Policies and Recommendations) is proposed in this paper. The concept of community is also introduced for efficient maintenance of devices so that the dynamic topology and mobility issues of ubiquitous devices are handled efficiently. The gossiping (where and when the nodes are idle they exchange or share their history of interactions) technique is highly useful in the proposed model to control false recommendation of malicious spies and to efficiently update trust values frequently.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.