PROJECT TITLE :

Privacy-Preserving Crowdsourced Spectrum Sensing - 2018

ABSTRACT:

Dynamic spectrum access is promising for mitigating worldwide wireless spectrum shortage. Crowdsourced spectrum sensing (CSS) refers to recruiting ubiquitous mobile users to perform real-time spectrum sensing at specified locations and has nice potential in mitigating the drawbacks of current spectrum database operations. While not sturdy incentives and site privacy protection in place, however, mobile users can be reluctant to act as mobile crowdsourcing workers for spectrum-sensing tasks. In this Project, we tend to 1st formulate participant selection in CSS systems as a reverse auction problem, in which every participant's true cost for spectrum sensing is closely tied to his current location. Then, we tend to demonstrate how the situation privacy of CSS participants will be easily breached beneath the framework. Finally, we tend to gift PriCSS, a completely unique framework for a CSS service supplier to pick out CSS participants in an exceedingly differentially privacy-preserving manner. During this framework, we have a tendency to propose PriCSS-and PriCSS+, two totally different schemes under distinct style objectives and assumptions. PriCSS-is an approximately truthful theme that achieves differential location privacy and an approximate minimum payment, whereas PriCSS+may be a truthful theme that achieves differential location privacy and an approximate minimum social price. The detailed theoretical analysis and simulation studies are performed to demonstrate the efficacy of both schemes.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation ABSTRACT: To assist users in finding relevant information, personalized recommendations are critical. To mine user preference,
PROJECT TITLE :Towards Privacy-Preserving Content-Based Image Retrieval in Cloud Computing - 2018ABSTRACT:Content-based image retrieval (CBIR) applications are rapidly developed along with the increase in the amount, availability
PROJECT TITLE :Privacy-Preserving Image Processing in the Cloud - 2018ABSTRACT:Countless personal pictures are generated in varied digital devices every day. The consequent large computational workload makes individuals flip to
PROJECT TITLE :FEDERAL: A Framework for Distance-Aware Privacy-Preserving Record Linkage - 2018ABSTRACT:In privacy-preserving record linkage, a number of knowledge custodians encode their records and submit them to a trusted third-party
PROJECT TITLE :Efficient and Privacy-Preserving Outsourced Calculation of Rational Numbers - 2018ABSTRACT:During this Project, we tend to propose a framework for economical and privacy-preserving outsourced calculation of rational

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry