ABSTRACT: Motivated by the privacy issues, curbing the selection of electronic healthcare systems and the wild success of cloud benefit models, we propose to build privacy with mobile healthcare systems with help of the private cloud. Our system offers striking highlights including efficient key management, privacy-preserving information storage, and recovery, particularly for recovery at emergencies, […]
.NET MINI PROJECTS
.NET Project On Supporting Privacy Protection in Personalized Web Search
ABSTRACT: Personalized web search (PWS) has established its effectiveness in increasing the quality of different search services at the internet. But, evidences show that users’ reluctance to disclose their private statistics at some point of search has emerge as a major barrier for the wide proliferation of PWS. We observe privacy safety in PWS applications […]
.NET Project On Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems
ABSTRACT: Many safety primitives are based on tough mathematical issues. The usage of tough AI issues for protection is emerging as an exciting new paradigm, however has been under-explored. In this project, we present a new protection primitive primarily based on hard AI issues, specifically, a family of graphical password structures constructed on top of […]
.NET Project On Efficient Computation of Range Aggregates against Uncertain Location-Based Queries
ABSTRACT: In many applications, including location-primarily based services, queries may not be particular. on this project, we study the problem of successfully computing variety aggregates in a multidimensional space when the question location is unsure. Specifically, for a query point Q whose place is uncertain and a set S of points in a multidimensional area, […]
.NET Project On Certificate less Remote Anonymous Authentication Schemes for Wireless Body Area Networks
ABSTRACT: Wireless body area network (WBAN) has been identified as one of the promising wi-fi sensor technology for improving healthcare service, thanks to its capability of seamlessly and constantly exchanging medical statistics in real time. However, the shortage of a clear in-depth defence line in one of these new networking paradigm could make its potential […]
.NET Project On Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data
ABSTRACT: With the appearance of cloud computing, data proprietors are motivated to outsource their complex records management systems from local websites to the industrial public cloud for great flexibility and monetary financial savings. But for protecting information privacy, sensitive records should be encrypted before than outsourcing, which obsoletes traditional data utilization based on plaintext key-word […]
.NET Project On Secure Mining of Association Rules in Horizontally Distributed Databases
ABSTRACT: We propose a protocol for at secure mining of association guidelines in horizontally distributed databases. The current leading protocol is that of Kantarcioglu and Clifton . Our protocol, like theirs, is based totally on the Fast distributed Mining (FDM)set of rules of Cheung et al. , which is an unsecured disbursed model of the […]
.NET Project On Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud
ABSTRACT: With data garage and sharing services in the cloud, users can effortlessly modift and shared a records as a group. To make certain shared data integrity may be verified publicly, users in the group need to compute signatures on all the blocks in shared records. Different blocks in shared information are commonly signed by […]
.NET Project On Friendbook: A Semantic-based Friend Recommendation System for Social Networks
ABSTRACT: Existing social networking services suggest friends to customers primarily based on their social graphs, which won’t be the most appropriate to refelect a customer’s preferences on friend selection in real lifestyles. On this project, we present Friendbook, a novel semantic-based friend recommendation system for social networks, which recommends friends to customers based totally on […]