Visible to the public Cuckoo-RPL: Cuckoo Filter based RPL for Defending AMI Network from Blackhole Attacks

TitleCuckoo-RPL: Cuckoo Filter based RPL for Defending AMI Network from Blackhole Attacks
Publication TypeConference Paper
Year of Publication2019
AuthorsZhang, Tianchen, Zhang, Taimin, Ji, Xiaoyu, Xu, Wenyuan
Conference Name2019 Chinese Control Conference (CCC)
PublisherIEEE
ISBN Number978-9-8815-6397-2
Keywordsadvanced metering infrastructure, Advanced Metering Infrastructure (AMI), AMI network, authentication, authorisation, Blackhole attack, computer network reliability, computer network security, cuckoo filter based RPL, cuckoo filter., cuckoo-RPL, Cyber Attacks, filtering theory, IETF ROLL working group, Law, power system security, pubcrawl, resilience, Resiliency, Routing, routing protocol for low-power and lossy networks, Routing protocols, RPL, Scalability, Smart grid, smart meters, smart power grids, version number attack, Wireless communication
Abstract

Advanced metering infrastructure (AMI) is a key component in the smart grid. Transmitting data robustly and reliably between the tremendous smart meters in the AMI is one of the most crucial tasks for providing various services in smart grid. Among the many efforts for designing practical routing protocols for the AMI, the Routing Protocol for Low-Power and Lossy Networks (RPL) proposed by the IETF ROLL working group is considered the most consolidated candidate. Resent research has shown cyber attacks such as blackhole attack and version number attack can seriously damage the performance of the network implementing RPL. The main reason that RPL is vulnerable to these kinds of attacks is the lack an authentication mechanism. In this paper, we study the impact of blackhole attacks on the performance of the AMI network and proposed a new blackhole attack that can bypass the existing defense mechanism. Then, we propose a cuckoo filter based RPL to defend the AMI network from blackhole attacks. We also give the security analysis of the proposed method.

URLhttps://ieeexplore.ieee.org/document/8866139
DOI10.23919/ChiCC.2019.8866139
Citation Keyzhang_cuckoo-rpl_2019