SlideShare una empresa de Scribd logo
1 de 3
Descargar para leer sin conexión
Modeling the Pairwise Key Predistribution Scheme
in the Presence of Unreliable Links
ABSTRACT:
We investigate the secure connectivity of wireless sensor networks under the random pairwise
key predistribution scheme of Chan, Perrig, and Song. Unlike recent work carried out under the
assumption of full visibility, here we assume a (simplified) communication model where
unreliable wireless links are represented as independent on/off channels.We present conditions
on how to scale the model parameters so that the network 1) has no secure node that is isolated
and 2) is securely connected, both with high probability, when the number of sensor nodes
becomes large. The results are given in the form of zero-one laws, and exhibit significant
differences with corresponding results in the full-visibility case. Through simulations, these
zero-one laws are shown to also hold under a more realistic communication model, namely the
disk model.
EXISTING SYSTEM:
Many security schemes developed for general network environments do not take into account
the unique features of WSNs: Public key cryptography is not feasible computationally because
of the severe limitations imposed on the physical memory and power consumption of the
individual sensors. Traditional key exchange and distribution protocols are based on trusting
third parties, and this makes them inadequate for large-scale WSNs whose topologies are
GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
unknown prior to deployment. Random key predistribution schemes were introduced to address
some of these difficulties. The idea of randomly assigning secure keys to sensor nodes prior to
network deployment was first introduced by Eschenauer and Gligor. The approach we use here
considers random graph models naturally induced by a given scheme, and then develops models
naturally induced by a given scheme, and then develops the scaling laws corresponding to
desirable network properties, e.g., absence of secure nodes that are isolated, secure connectivity,
etc. This is done with the aim of deriving guidelines to dimension the scheme, namely adjust its
parameters so that these properties occur.
DISADVANTAGES OF EXISTING SYSTEM:
To be sure, the full-visibility assumption does away with the wireless nature of the
communication medium supporting WSNs. In return, this simplification makes it possible to
focus on how randomization in the key assignments alone affects the establishment of a secure
network in the best of circumstances, i.e., when there are no link failures. A common criticism
of this line of work is that by disregarding the unreliability of the wireless links, the resulting
dimensioning guidelines are likely to be too optimistic: In practice, nodes will have fewer
neighbors since some of the communication links may be impaired. As a result, the desired
connectivity properties may not be achieved if dimensioning is done according to results
derived under full visibility.
PROPOSED SYSTEM:
In this paper, in an attempt to go beyond full visibility, we revisit the pairwise key
predistribution scheme of Chan et al. under more realistic assumptions that account for the
possibility that communication links between nodes may not be available. This could occur due
to the presence of physical barriers between nodes or because of harsh environmental conditions
severely impairing transmission. To study such situations, we introduce a simple
communication model where channels are mutually independent, and are either on or off. An
overall system model is then constructed by intersecting the random graph model of the
pairwise key distribution scheme (under full visibility).
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.
REFERENCE:
Osman Yağan, Member, IEEE, and Armand M. Makowski, Fellow, IEEE “Modeling the
Pairwise Key Predistribution Scheme in the Presence of Unreliable Links”-IEEE
TRANSACTIONS ON INFORMATION THEORY, VOL. 59, NO. 3, MARCH 2013.

Más contenido relacionado

Destacado

An access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la nsAn access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la nsIEEEFINALYEARPROJECTS
 
Utility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approachUtility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approachIEEEFINALYEARPROJECTS
 
A method for mining infrequent causal associations and its application in fin...
A method for mining infrequent causal associations and its application in fin...A method for mining infrequent causal associations and its application in fin...
A method for mining infrequent causal associations and its application in fin...IEEEFINALYEARPROJECTS
 
Cam cloud assisted privacy preserving mobile health monitoring
Cam cloud assisted privacy preserving mobile health monitoringCam cloud assisted privacy preserving mobile health monitoring
Cam cloud assisted privacy preserving mobile health monitoringIEEEFINALYEARPROJECTS
 
Reversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryptionReversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryptionIEEEFINALYEARPROJECTS
 
Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
 

Destacado (6)

An access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la nsAn access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la ns
 
Utility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approachUtility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approach
 
A method for mining infrequent causal associations and its application in fin...
A method for mining infrequent causal associations and its application in fin...A method for mining infrequent causal associations and its application in fin...
A method for mining infrequent causal associations and its application in fin...
 
Cam cloud assisted privacy preserving mobile health monitoring
Cam cloud assisted privacy preserving mobile health monitoringCam cloud assisted privacy preserving mobile health monitoring
Cam cloud assisted privacy preserving mobile health monitoring
 
Reversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryptionReversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryption
 
Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
 

Más de IEEEFINALYEARPROJECTS

Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
 
Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...IEEEFINALYEARPROJECTS
 
Reversible data hiding with optimal value transfer
Reversible data hiding with optimal value transferReversible data hiding with optimal value transfer
Reversible data hiding with optimal value transferIEEEFINALYEARPROJECTS
 
Query adaptive image search with hash codes
Query adaptive image search with hash codesQuery adaptive image search with hash codes
Query adaptive image search with hash codesIEEEFINALYEARPROJECTS
 
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...IEEEFINALYEARPROJECTS
 
Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...IEEEFINALYEARPROJECTS
 
Towards differential query services in cost efficient clouds
Towards differential query services in cost efficient cloudsTowards differential query services in cost efficient clouds
Towards differential query services in cost efficient cloudsIEEEFINALYEARPROJECTS
 
Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...IEEEFINALYEARPROJECTS
 
Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...IEEEFINALYEARPROJECTS
 
Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...IEEEFINALYEARPROJECTS
 
Harnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing largeHarnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing largeIEEEFINALYEARPROJECTS
 
Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...IEEEFINALYEARPROJECTS
 
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...IEEEFINALYEARPROJECTS
 
Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
 
A secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creationA secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creationIEEEFINALYEARPROJECTS
 
Two tales of privacy in online social networks
Two tales of privacy in online social networksTwo tales of privacy in online social networks
Two tales of privacy in online social networksIEEEFINALYEARPROJECTS
 
Sort a self organizing trust model for peer-to-peer systems
Sort a self organizing trust model for peer-to-peer systemsSort a self organizing trust model for peer-to-peer systems
Sort a self organizing trust model for peer-to-peer systemsIEEEFINALYEARPROJECTS
 
Security analysis of a single sign on mechanism for distributed computer netw...
Security analysis of a single sign on mechanism for distributed computer netw...Security analysis of a single sign on mechanism for distributed computer netw...
Security analysis of a single sign on mechanism for distributed computer netw...IEEEFINALYEARPROJECTS
 

Más de IEEEFINALYEARPROJECTS (20)

Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
 
Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...
 
Reversible data hiding with optimal value transfer
Reversible data hiding with optimal value transferReversible data hiding with optimal value transfer
Reversible data hiding with optimal value transfer
 
Query adaptive image search with hash codes
Query adaptive image search with hash codesQuery adaptive image search with hash codes
Query adaptive image search with hash codes
 
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
 
Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...
 
Towards differential query services in cost efficient clouds
Towards differential query services in cost efficient cloudsTowards differential query services in cost efficient clouds
Towards differential query services in cost efficient clouds
 
Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...
 
Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...
 
Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...
 
Non cooperative location privacy
Non cooperative location privacyNon cooperative location privacy
Non cooperative location privacy
 
Harnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing largeHarnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing large
 
Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...
 
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
 
Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...
 
A secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creationA secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creation
 
Two tales of privacy in online social networks
Two tales of privacy in online social networksTwo tales of privacy in online social networks
Two tales of privacy in online social networks
 
Spatial approximate string search
Spatial approximate string searchSpatial approximate string search
Spatial approximate string search
 
Sort a self organizing trust model for peer-to-peer systems
Sort a self organizing trust model for peer-to-peer systemsSort a self organizing trust model for peer-to-peer systems
Sort a self organizing trust model for peer-to-peer systems
 
Security analysis of a single sign on mechanism for distributed computer netw...
Security analysis of a single sign on mechanism for distributed computer netw...Security analysis of a single sign on mechanism for distributed computer netw...
Security analysis of a single sign on mechanism for distributed computer netw...
 

Último

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 

Último (20)

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 

Modeling the pairwise key predistribution scheme

  • 1. Modeling the Pairwise Key Predistribution Scheme in the Presence of Unreliable Links ABSTRACT: We investigate the secure connectivity of wireless sensor networks under the random pairwise key predistribution scheme of Chan, Perrig, and Song. Unlike recent work carried out under the assumption of full visibility, here we assume a (simplified) communication model where unreliable wireless links are represented as independent on/off channels.We present conditions on how to scale the model parameters so that the network 1) has no secure node that is isolated and 2) is securely connected, both with high probability, when the number of sensor nodes becomes large. The results are given in the form of zero-one laws, and exhibit significant differences with corresponding results in the full-visibility case. Through simulations, these zero-one laws are shown to also hold under a more realistic communication model, namely the disk model. EXISTING SYSTEM: Many security schemes developed for general network environments do not take into account the unique features of WSNs: Public key cryptography is not feasible computationally because of the severe limitations imposed on the physical memory and power consumption of the individual sensors. Traditional key exchange and distribution protocols are based on trusting third parties, and this makes them inadequate for large-scale WSNs whose topologies are GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
  • 2. unknown prior to deployment. Random key predistribution schemes were introduced to address some of these difficulties. The idea of randomly assigning secure keys to sensor nodes prior to network deployment was first introduced by Eschenauer and Gligor. The approach we use here considers random graph models naturally induced by a given scheme, and then develops models naturally induced by a given scheme, and then develops the scaling laws corresponding to desirable network properties, e.g., absence of secure nodes that are isolated, secure connectivity, etc. This is done with the aim of deriving guidelines to dimension the scheme, namely adjust its parameters so that these properties occur. DISADVANTAGES OF EXISTING SYSTEM: To be sure, the full-visibility assumption does away with the wireless nature of the communication medium supporting WSNs. In return, this simplification makes it possible to focus on how randomization in the key assignments alone affects the establishment of a secure network in the best of circumstances, i.e., when there are no link failures. A common criticism of this line of work is that by disregarding the unreliability of the wireless links, the resulting dimensioning guidelines are likely to be too optimistic: In practice, nodes will have fewer neighbors since some of the communication links may be impaired. As a result, the desired connectivity properties may not be achieved if dimensioning is done according to results derived under full visibility. PROPOSED SYSTEM: In this paper, in an attempt to go beyond full visibility, we revisit the pairwise key predistribution scheme of Chan et al. under more realistic assumptions that account for the possibility that communication links between nodes may not be available. This could occur due to the presence of physical barriers between nodes or because of harsh environmental conditions severely impairing transmission. To study such situations, we introduce a simple communication model where channels are mutually independent, and are either on or off. An overall system model is then constructed by intersecting the random graph model of the pairwise key distribution scheme (under full visibility).
  • 3. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above. REFERENCE: Osman Yağan, Member, IEEE, and Armand M. Makowski, Fellow, IEEE “Modeling the Pairwise Key Predistribution Scheme in the Presence of Unreliable Links”-IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 59, NO. 3, MARCH 2013.