Analysis of Location Monitoring Techniques with Privacy Preservation in WSN

The trend of location surveillance system is increasing day-by-day, so the range of such services providing systems like GPS and PDA's conjointly increase parallel. As a result of this, we tend to get the precise and applicable location of monitoring object. However at an equivalent time the foremost necessary issue of privacy is missing. WSN chiefly consists of spatially distributed autonomous sensors that monitor physical or environmental conditions and cooperatively pass their data through the wireless network to a main location in WSN. The main challenges in wireless sensor network are heterogeneousness, distributed processing, low bandwidth communication, large scale coordination and secured location monitoring. There is a variety of applications that are developed on the basis of wireless sensor network, such as navigation, habitat monitoring, objects detection and tracking. Location monitoring systems are used to detect human activities and provide monitoring services with low privacy. This paper gives comparative analysis of the location monitoring and privacy providing schemes. There are some problems in previous papers that are: wrong location providing, provide precise location except privacy, providing privacy as well location except the data used is static data. The method proposed in this paper is more reliable to overcome such problems.

[1]  Ling Liu,et al.  Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms , 2008, IEEE Transactions on Mobile Computing.

[2]  Chi-Yin Chow,et al.  A Privacy-Preserving Location Monitoring System for Wireless Sensor Networks , 2011, IEEE Transactions on Mobile Computing.

[3]  Ying Cai,et al.  Exploring Historical Location Data for Anonymity Preservation in Location-Based Services , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[4]  Wade Trappe,et al.  Enhancing Source-Location Privacy in Sensor Network Routing , 2005, ICDCS.

[5]  Ling Liu,et al.  Supporting anonymous location queries in mobile environments with privacygrid , 2008, WWW.

[6]  Walid G. Aref,et al.  Casper*: Query processing for location services without compromising privacy , 2006, TODS.

[7]  Panos Kalnis,et al.  MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries , 2007, SSTD.

[8]  Panos Kalnis,et al.  Private queries in location based services: anonymizers are not necessary , 2008, SIGMOD Conference.

[9]  Narinder Singh,et al.  Review of Wireless Sensor Networks- Architecture and Applications , 2016 .

[10]  Tetsuji Satoh,et al.  An anonymous communication technique using dummies for location-based services , 2005, ICPS '05. Proceedings. International Conference on Pervasive Services, 2005..

[11]  Andy Hopper,et al.  The Anatomy of a Context-Aware Application , 1999, Wirel. Networks.

[12]  Salil S. Kanhere,et al.  Fine-grained Access Control Enabling Privacy Support in Wireless Sensor Networks (Extended Abstract) , 2010 .

[13]  Panos Kalnis,et al.  PRIVE: anonymous location-based queries in distributed mobile systems , 2007, WWW '07.

[14]  Byungrak Son,et al.  Development of an Automatic People-Counting and Environment Monitoring System Based on Wireless Sensor Network in Real Time; To realize in Korea Mountains , 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

[15]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .

[16]  Seung-chan Shin,et al.  Implementation of the Real-Time People Counting System using Wireless Sensor Networks , 2007 .

[17]  Chi-Yin Chow,et al.  A peer-to-peer spatial cloaking algorithm for anonymous location-based service , 2006, GIS '06.

[18]  Kyriakos Mouratidis,et al.  Preventing Location-Based Identity Inference in Anonymous Spatial Queries , 2007, IEEE Transactions on Knowledge and Data Engineering.

[19]  Sushil Jajodia,et al.  Anonymity in Location-Based Services: Towards a General Framework , 2007, 2007 International Conference on Mobile Data Management.