Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing - 2017


Privacy has become a considerable issue when the applications of huge data are dramatically growing in cloud computing. The benefits of the implementation for these emerging technologies have improved or modified service models and improve application performances in various views. However, the remarkably growing volume of data sizes has also resulted in many challenges in practice. The execution time of the info encryption is one of the intense problems throughout the data processing and transmissions. Several current applications abandon information encryptions so as to reach an adoptive performance level companioning with privacy considerations. In this paper, we tend to concentrate on privacy and propose a completely unique information encryption approach, which is called Dynamic Knowledge Encryption Strategy (D2ES). Our proposed approach aims to selectively encrypt knowledge and use privacy classification ways underneath timing constraints. This approach is meant to maximise the privacy protection scope by employing a selective encryption strategy within the required execution time needs. The performance of D2ES has been evaluated in our experiments, that provides the proof of the privacy enhancement.

Did you like this research project?

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

PROJECT TITLE :Privacy-Preserving Crowdsourced Spectrum Sensing - 2018ABSTRACT:Dynamic spectrum access is promising for mitigating worldwide wireless spectrum shortage. Crowdsourced spectrum sensing (CSS) refers to recruiting
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