Routing Efficient Method for Preserving Source Anonymity In Wireless Sensor Networks
Main Article Content
Abstract
The emerging field of Wireless Sensor Networks combines computation, sensing , computation and communication into a single and tiny device. However, providing location privacy in a WSN is a challenging task. An adversary can easily intercept the network traffic due to the use of the broadcast nature of transmission. It can then perform traffic analysis and identify the source sensor that initiates the communication with the Base Station. Researchers have already presented various methods over WSN security, especially for privacy preservation. From the literature study, the privacy preserving security methods for WSN are having influence over the performance parameters like latency, energy efficiency, communication cost, throughput etc. WSNs are resource constrained, means sensor nodes having limited resources. Most existing methods use the PKI (public key infrastructure) for security purpose, but these methods consume more power of sensor nodes as well as not scalable. Thus to overcome these two limitations, recently the new privacy preservation method is introduced. This method proposed some criteria for the quantitative metrics source location privacy (SLP) for routing oriented methods in WSN. Using this method, the SLP is achieved with goal of efficient energy utilization via the two phase routing. It means SLP through the Routing to a randomly selected intermediate node (RSIN) and a network mixing ring (NMR). However this method is not scalable as required for most of real life applications, as well not evaluated for other performance metrics such as throughput, packet delivery ratio and end to end delay which are vital for any routing scheme in WSN. Therefore in this paper we are presenting the improved method with aim of achieving the network scalability and efficient routing performance while maintaining the source location privacy security.
Keywords: Ranked Cryptography; public key infrastructure; source location privacy; privacy preservation; sensor network ; NMR.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.