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A NOVEL EN-ROUTE FILTERING SCHEME AGAINS FALSE DATA INJECTION ATTACKS IN CYBER-PHYSICAL

NETWORKED SYSTEMS

ABSTRACT

            In this paper the study about A novel en-route filtering scheme against false data injection attacks in cyber-physical networked systems. In Cyber-Physical Networked Systems (CPNS), the challenger can inject false measurements into the controller through compromised sensor nodes, which not only threaten the security of the system, but also consume network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks. However, these schemes either lack resilience to the number of compromised nodes or depend on the statically configured 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. PCREF adopts polynomials instead of Message Authentication Codes (MACs) for endorsing measurement reports to achieve 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. Through extensive theoretical analysis and experiments, our data shows that PCREF achieves better filtering capacity and resilience to the large number of compromised nodes in comparison to the existing schemes.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:-  In Cyber-Physical Networked Systems (CPNS), the challenger can inject false measurements into the controller through compromised sensor nodes, which not only threaten the security of the system, but also consume network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks.	PROPOSED CONCEPT:- In the proposed system we implement a a novel en-route filtering scheme against          false data injection attacks in cyber-physical networked systems. When a report is transmitted from a sensor node to the controller, each forwarding node checks whether the forwarding reports actually carry valid MACs. If not, the report is considered a false one forged by the adversary and then dropped. Otherwise, the report is forwarded to the next forwarding nodes.
EXISTING TECHNIQUE:- En-route filtering scheme	PROPOSED TECHNIQUE:- Polynomial based Compromise Resilient En-route Filtering scheme(PCREF)
TECHNIQUE DEFNITION:- En-route filtering is a scheme by which intermediate nodes confirm the authenticity of messages and filter them when those messages travel through the network. In this  existing en-route filtering schemes are based on authentication. When a report is transmitted from a sensor node to the controller, each forwarding node checks whether the forwarding reports actually carry valid MACs.	TECHNIQUE DEFNITION:- PCREF can filter false data en-route effectively and achieve high resilience to the number of compromised nodes without relying on static routes and node localization. It  adopts polynomials for endorsing measurement reports to improve resilience to node impersonating attacks. Each node stores two types of polynomials: authentication polynomial and check polynomial, derived from primitive polynomials.
DRAWBACKS:- Low resilience Filter false injected data is not effectively	ADVANTAGES:- Achieve a high resilience. Filter false injected data effectively.