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Network Security IEEE 2015 Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/network-security-ieee-2015-projects
Title :A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/en-route-filtering-scheme-false-data-injection-attacks-cyber-physical-networked-systems
Abstract : In Cyber-Physical Networked Systems (CPNS), the adversary can inject false measurements to the
controller through compromised sensor nodes, which not only threaten the security of the system, but also consumes
network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless
sensor networks in the past. However, these schemes either lack resilience to the number of compromised nodes or
depend on the statically configure routes and node localization, which are not suitable for CPNS. In this paper, we
propose a Polynomial-based Compromise-Resilient En-route Filtering scheme (PCREF), which can filter false injected
data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes
and node localization. Particularly, PCREF adopts polynomials instead of MACs (Message Authentication Codes) for
endorsing measurement reports to achieve the resilience to attacks. Each node stores two types of polynomials:
authentication polynomial and check polynomial, derived from the primitive polynomial, and used for endorsing and
verifying the measurement reports. Via extensive theoretical analysis and experiments, our data show that PCREF
achieves better filtering capacity and resilience to the large number of compromised nodes in comparison to the
existing schemes.

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Network Security IEEE 2015 Projects

  • 1. Network Security IEEE 2015 Projects Web : www.kasanpro.com Email : sales@kasanpro.com List Link : http://kasanpro.com/projects-list/network-security-ieee-2015-projects Title :A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems Language : NS2 Project Link : http://kasanpro.com/p/ns2/en-route-filtering-scheme-false-data-injection-attacks-cyber-physical-networked-systems Abstract : In Cyber-Physical Networked Systems (CPNS), the adversary can inject false measurements to the controller through compromised sensor nodes, which not only threaten the security of the system, but also consumes network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks in the past. However, these schemes either lack resilience to the number of compromised nodes or depend on the statically configure routes and node localization, which are not suitable for CPNS. In this paper, we propose a Polynomial-based Compromise-Resilient En-route Filtering scheme (PCREF), which can filter false injected data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes and node localization. Particularly, PCREF adopts polynomials instead of MACs (Message Authentication Codes) for endorsing measurement reports to achieve the resilience to attacks. Each node stores two types of polynomials: authentication polynomial and check polynomial, derived from the primitive polynomial, and used for endorsing and verifying the measurement reports. Via extensive theoretical analysis and experiments, our data show that PCREF achieves better filtering capacity and resilience to the large number of compromised nodes in comparison to the existing schemes.