For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or                        ...
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A privacy preserving location monitoring system for wireless sensor networks

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Monitoring personal locations with a potentially untrusted server poses privacy threats to the monitored individuals. To this end, we propose a privacy-preserving location monitoring system for wireless sensor networks. In our system, we design two innetwork location anonymization algorithms, namely, resource- and quality-aware algorithms, that aim to enable the system to provide high quality location monitoring services for system users, while preserving personal location privacy.

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A privacy preserving location monitoring system for wireless sensor networks

  1. 1. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306 A Privacy-Preserving Location Monitoring System for Wireless Sensor NetworksAbstract:-Monitoring personal locations with a potentially untrusted server poses privacythreats to the monitored individuals. Tothis end, we propose a privacy-preservinglocation monitoring system for wireless sensor networks. In our system, we designtwo innetworklocation anonymization algorithms, namely, resource- and quality-aware algorithms, that aim to enable the system to providehigh quality locationmonitoring services for system users, while preserving personal location privacy.Both algorithms rely on the wellestablished k-anonymity privacy concept, that is, aperson is indistinguishable among k persons, to enable trusted sensor nodes toprovide the aggregate location information of monitored persons for our system.Each aggregate location is in a form of a monitoredarea A along with the numberof monitored persons residing in A, where A contains at least k persons. Theresource-aware algorithmaims to minimize communication and computationalcost, while the quality-aware algorithm aims to maximize the accuracy oftheaggregate locations by minimizing their monitored areas. To utilize theaggregate location information to provide location monitoringservices, we use aspatial histogram approach that estimates the distribution of the monitored personsbased on the gathered aggregatelocation information. Then the estimateddistribution is used to provide location monitoring services through answeringrange queries. Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  2. 2. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306We evaluate our system through simulated experiments. The results show that oursystem provides high quality location monitoringservices for system users andguarantees the location privacy of the monitored persons.System ArchitectureAlgorithmThe Resource-Aware AlgorithmExisting SystemExisting locationmonitoring systems. In an identity-sensor location monitoringSystem, since each sensor node reports the exactlocation information of each0monitored object to theserver, the adversary can pinpoint each objects exactlocation.On the other hand, in a counting-sensor locationmonitoring system, eachsensor node reports the numberof objects in its sensing area to the server. Theadversarycan map the monitored areas of the sensor nodes to thesystem layout. Ifthe object count of a monitored area isvery small or equal to one, Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  3. 3. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306Proposed SystemThis paper proposes a privacy-preserving locationmonitoring system for wirelesssensor networks to providemonitoring services. Our system relies on thewellestablished k-anonymity privacy concept, which requireseach person isindistinguishable among k persons. In oursystem, each sensor node blurs itssensing area into acloaked area, in which at least k persons are residing.Eachsensor node reports only aggregate location information,We proposetwo in-network aggregate location anonymization algorithms, namely,resource- and quality-aware algorithms.Both algorithms require the sensor nodes tocollaboratewith each other to blur their sensing areas into cloakedareas, such thateach cloaked area contains at least kpersons to constitute a k-anonymous cloakedarea. Theresource-aware algorithm aims to minimize communicationand computational cost, while the quality-awarealgorithm aims to minimize thesize of the cloaked areas,in order to maximize the accuracy of theaggregatelocations reported to the server.Modules1. WSN Location Monitoring ModuleThe location monitoring system using identity sensors,the sensor nodes report theexact location information ofthe monitored persons to the server; thus usingidentitysensors immediately poses a major privacy breach. To tackle such a Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  4. 4. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306privacy breach, the concept of aggregatelocation information, that is, a collectionof location datarelating to a group or category of persons from whichindividualidentities have been removed , has beensuggested as an effective approach topreserve locationprivacy . Although the counting sensors by natureprovideaggregate location information, they wouldalso pose privacy breaches.2. Aggregate locations ModuleWe design two in-network location anonymization algorithms,namely, resource-and quality-aware algorithms that preserve personal location privacy, whileenablingthe system to provide location monitoring services. Bothalgorithms relyon the well established k-anonymity privacyconcept that requires a person isindistinguishableamong k persons. In our system, sensor nodes executeour locationanonymization algorithms to provide k-anonymous aggregate locations, in whicheach aggregatelocation is a cloaked area A Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  5. 5. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 73856653063. Mapped Location monitoring ModuleSensor nodes.Each sensor node is responsible for determining the number of objects in itssensing area, blurringits sensing area into a cloaked area A, which includesat leastk objects, and reporting A with the number ofobjects located in A as aggregatelocation informationto the server. We do not have any assumption aboutthenetwork topology, as our system only requires acommunication path from eachsensor node to the server through a distributed tree . Each sensor node is alsoawareof its location and sensing area.Server. Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  6. 6. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306The server is responsible for collecting the aggregatelocations reported from thesensor nodes, usinga spatial histogram to estimate the distribution of themonitoredobjects, and answering range queries basedon the estimated object distribution.Furthermore, theadministrator can change the anonymized level k of thesystem atanytime by disseminating a message with anew value of k to all the sensor nodes.System users.Authenticated administrators and userscan issue range queries to our systemthrough either theserver or the sensor nodes, as depicted in Above SystemArchitecture figure. Theserver uses the spatial histogram to answer their queries.4. Minimum bounding rectangle (MBR)We find the minimum bounding rectangle (MBR) of the sensing area of A. It isimportant to note that the sensing area can be in any polygon or irregular shape.Software Requirements:Hardware Requirement:  Minimum 1.1 GHz PROCESSOR should be on the computer. Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in
  7. 7. For Diploma, BE, ME, M Tech, BCA, MCA, PHD Project Guidance, Please Visit: www.ocularsystems.in Or Call Us On 7385665306  128 MBRAM.  20 GB HDD.  1.44 MB FDD.  52x CD-ROM Drive.  MONITORS at 800x600 minimum resolution at 256 colors minimum.  I/O, One or two button mouse and standard 101-key keyboard.Software Requirement:  Operating System:Windows 95/98/2000/NT4.0.  Technology : JAVA, JFC(Swing)  Development IDE : Eclipse 3.x Ocular Systems, Shop No:1, Swagat Corner Building, Near NarayaniDham Temple, Katraj, Pune-46 E-Mail: info@ocularsystems.in

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