PROJECT TITLE :

A Novel Coding Scheme for Secure Communications in Distributed RFID Systems - 2016

ABSTRACT:

Privacy protection is the primary concern when RFID applications are deployed in our daily lives. Due to the computational power constraints of passive tags, non-encryption-based singulation protocols have been recently developed, in that wireless jamming is used. However, the existing personal tag access protocols without shared secrets rely on impractical physical layer assumptions, and therefore they're troublesome to deploy. To tackle this issue, we tend to first redesign the architecture of RFID system by dividing an RF reader into two completely different devices, an RF activator and a trusted shield device (TSD). Then, we have a tendency to propose a novel coding theme, particularly Random Flipping Random Jamming (RFRJ), to shield tags' content. Unlike the past work, the proposed singulation protocol utilizes only the physical layer techniques that are already implemented. Analyses and simulation results validate our distributed architecture with the RFRJ coding theme, that defends tags' privacy against varied adversaries as well as the random guessing attack, correlation attack, ghost-and-leech attack, and eavesdropping.


Did you like this research project?

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


PROJECT TITLE : ESVSSE Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption ABSTRACT: It is believed that symmetric searchable encryption, also known as SSE, will solve the problem of privacy in data outsourcing
PROJECT TITLE : Novel Secure Outsourcing of Modular Inversion for Arbitrary and Variable Modulus ABSTRACT: In the fields of cryptography and algorithmic number theory, modular inversion is regarded as one of the operations that
PROJECT TITLE : A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing ABSTRACT: An IoT (Internet of Things)-based vehicular ad-hoc network and a software-defined network are the two components
PROJECT TITLE : Progressive Self-Supervised Clustering With Novel Category Discovery ABSTRACT: Clustering is one of the most classical methods used to analyze data structures in machine learning and pattern recognition at the
PROJECT TITLE : Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer ABSTRACT: The goal of low-rank minimization is to recover a matrix with the lowest possible rank while still satisfying the constraints

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

Project Enquiry