Title :
Privacy preservation using Geometric Data perturbation and fragmentation approach in Wireless Sensor Networks
Author :
Sreekumar, K. ; Baburaj, E.
Author_Institution :
Anna Univ., Tirunelveli, India
Abstract :
Privacy preservation is of great concern in Wireless Sensor Networks. One of the major issues is the privacy of the data collected and transmitted from the sensor nodes in wireless sensor networks. This paper presents Geometric Data perturbation to transmit the information in a secured manner so that both the external and internal adversary is prevented from eavesdropping. In addition to the above, fragmentation approach is suggested for storing the sensitive data in the data centres of Wireless senor networks. This fragmentation approach does not secure the data from an intruder, but prevents the utilization of the data when captured.
Keywords :
computer centres; data privacy; wireless sensor networks; data centres; fragmentation approach; geometric data perturbation; privacy preservation; sensor nodes; wireless sensor networks; Data Aggregation; Data Query; Fragmentation; GDP; Privacy; Wireless Sensor Networks;
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
Conference_Location :
Tiruchengode
Electronic_ISBN :
978-1-84919-797-7
DOI :
10.1049/cp.2012.2184