Multilevel Security Protocol using RFID
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 2
Abstract
Though RFID provides automatic object identification, yet it is vulnerable to various security threats that put consumer and organization privacy at stake. In this work, we have considered some existing security protocols of RFID system and analyzed the possible security threats at each level. We have modified those parts of protocol that have security loopholes and thus finally proposed a modified four-level security model that has the potential to provide fortification against security threats.
Authors and Affiliations
Syed Faiazuddin , S. Venkat Rao , S. C. V. Ramana Rao , M. V. Sainatha Rao , P. Sathish Kumar
Keywords
Related Articles
- EP ID EP129601
- DOI -
- Views 112
- Downloads 0
Techniques, Tools and Applications of Graph Analytic
Graphs have acute significance because of poly-tropic nature and have wide spread real world big data appli-cations, e.g., search engines, social media, knowledge discovery, network systems, etc. Major challenge is to de...
Narrowing Down Learning Research: Technical Documentation in Information Systems Research
Learning how to use technical products is of high interest for customers as well as businesses. Besides product usability, technical documentation in various forms plays a major role for the acceptance of innovative prod...
Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation
Cerebral Arteriovenous Malformation (CAVM) hemodynamic in disease condition results changes in the flow and pressure level in blood vessels. Cerebral Arteriovenous Malformation (CAVM) is an abnormal shunting of vessels b...
Impact of IP Addresses Localization on the Internet Dynamics Measurement
Many projects have sought to measure the dynamics of the Internet by using end-to-end measurement tools. The RADAR tool has been designed in this context. It consists in periodically tracing the routes from a monitor tow...
Fast Efficient Clustering Algorithm for Balanced Data
The Cluster analysis is a major technique for statistical analysis, machine learning, pattern recognition, data mining, image analysis and bioinformatics. K-means algorithm is one of the most important clustering algorit...