International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 145 - Number 14 |
Year of Publication: 2016 |
Authors: Kiran B. Giri, Rajendra S. Kanphade, Bhagyashri Warhade |
10.5120/ijca2016910864 |
Kiran B. Giri, Rajendra S. Kanphade, Bhagyashri Warhade . A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems. International Journal of Computer Applications. 145, 14 ( Jul 2016), 38-41. DOI=10.5120/ijca2016910864
In last decade, applications of wireless sensor systems (WSNs) i.e. Cyber-Physical Networked Systems (CPNS), have been expanded because of its tremendous potency to interface the physical world to the practical world. In CPNS, third party like attackers could insert wrong estimations to the controller by trading off a sensor nodes in networked system, which not just in danger the security of the system, additionally utilizes system resources. To determine such issue, various en-course filtering has been intended for wireless sensor networks. So the proposed system is a Polynomial-based Compromised-Resilient En-course Filtering plan, in this proficiently filters false data efficaciously as well as accomplish an eminent quality strength to the numeral of traded off nodes without trusting upon stable route and node lateralization. To accomplish the versatility of attackers the scheme user’s polynomials rather than message authentication codes (MAC) for underwriting measurement results. All node stores two kinds of polynomials: authentication (hallmark) polynomial (multinomial) and check polynomial got from the primitive polynomial, and used for underwriting as well as checking estimated results.