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Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 1
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Secure Data Aggregation Technique for
Wireless Sensor Networks in the Presence of
Collusion Attacks
Abstract
Due to limited computational power and energy resources, aggregation of
data from multiple sensor nodes done at the aggregating node is usually
accomplished by simple methods such as averaging. However such aggregation is
known to be highly vulnerable to node compromising attacks. Since WSN are
usually unattended and without tamper resistant hardware, they are highly
susceptible to such attacks. Thus, ascertaining trustworthiness of data and
reputation of sensor nodes is crucial for WSN. As the performance of very low
power processors dramatically improves, future aggregator nodes will be capable
of performing more sophisticated data aggregation algorithms, thus making WSN
less vulnerable. Iterative filtering algorithms hold great promise for such a purpose.
Such algorithms simultaneously aggregate data from multiple sources and provide
trust assessment of these sources, usually in a form of corresponding weight factors
assigned to data provided by each source. In this paper we demonstrate that several
existing iterative filtering algorithms, while significantly more robust against
collusion attacks than the simple averaging methods, are nevertheless susceptive to
a novel sophisticated collusion attack we introduce. To address this security issue,
we propose an improvement for iterative filtering techniques by providing an
initial approximation for such algorithms which makes them not only collusion
robust, but also more accurate and faster converging.
Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 2
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
ARCHITECTURE
EXISTING SYSTEM
Iterative filtering algorithms are used in existing system. Such
algorithms simultaneously aggregate data from multiple sources and
provide trust assessment of these sources, usually in a form of
corresponding weight factors assigned to data provided by each source.
DRAWBACK OF EXISTING SYSTEM
 More robust against collusion attacks than the simple averaging
methods.
 Nevertheless susceptive to a novel sophisticated collusion attack
Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 3
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
PROPOSED SYSTEM
Data aggregation at the aggregator node has to be accompanied by
an assessment of trustworthiness of data from individual sensor nodes.
More sophisticated Algorithms are needed for data aggregation.
ADVANTAGE OF PROPOSED SYSTEM
 More accurate and faster converge
 Reliability and trustworthiness of the data received from each
sensor node.
SYSTEM SPECIFICATION
Hardware Requirements
System : Pentium IV 2.4 GHz
Hard Disk : 40 GB
Floppy Drive : 1.44 Mb
Monitor : 15 VGA Colour
Mouse : Logitech
Ram : 512 Mb
Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 4
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Software Requirements
Operating system : Windows Family
Tools : eclipse/Netbeans
Technology Used : Java
Backend Used : SQL Server

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Secure data aggregation technique for wireless sensor networks in the presence of collusion attacks

  • 1. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 1 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Collusion Attacks Abstract Due to limited computational power and energy resources, aggregation of data from multiple sensor nodes done at the aggregating node is usually accomplished by simple methods such as averaging. However such aggregation is known to be highly vulnerable to node compromising attacks. Since WSN are usually unattended and without tamper resistant hardware, they are highly susceptible to such attacks. Thus, ascertaining trustworthiness of data and reputation of sensor nodes is crucial for WSN. As the performance of very low power processors dramatically improves, future aggregator nodes will be capable of performing more sophisticated data aggregation algorithms, thus making WSN less vulnerable. Iterative filtering algorithms hold great promise for such a purpose. Such algorithms simultaneously aggregate data from multiple sources and provide trust assessment of these sources, usually in a form of corresponding weight factors assigned to data provided by each source. In this paper we demonstrate that several existing iterative filtering algorithms, while significantly more robust against collusion attacks than the simple averaging methods, are nevertheless susceptive to a novel sophisticated collusion attack we introduce. To address this security issue, we propose an improvement for iterative filtering techniques by providing an initial approximation for such algorithms which makes them not only collusion robust, but also more accurate and faster converging.
  • 2. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 2 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com ARCHITECTURE EXISTING SYSTEM Iterative filtering algorithms are used in existing system. Such algorithms simultaneously aggregate data from multiple sources and provide trust assessment of these sources, usually in a form of corresponding weight factors assigned to data provided by each source. DRAWBACK OF EXISTING SYSTEM  More robust against collusion attacks than the simple averaging methods.  Nevertheless susceptive to a novel sophisticated collusion attack
  • 3. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 3 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com PROPOSED SYSTEM Data aggregation at the aggregator node has to be accompanied by an assessment of trustworthiness of data from individual sensor nodes. More sophisticated Algorithms are needed for data aggregation. ADVANTAGE OF PROPOSED SYSTEM  More accurate and faster converge  Reliability and trustworthiness of the data received from each sensor node. SYSTEM SPECIFICATION Hardware Requirements System : Pentium IV 2.4 GHz Hard Disk : 40 GB Floppy Drive : 1.44 Mb Monitor : 15 VGA Colour Mouse : Logitech Ram : 512 Mb
  • 4. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 4 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com Software Requirements Operating system : Windows Family Tools : eclipse/Netbeans Technology Used : Java Backend Used : SQL Server