Title: Malware propagation in smart grid networks: metrics, simulation and comparison of three malware types
Language: English
Authors: Eder-Neuhauser, Peter
Zseby, Tanja
Fabini, Joachim 
Category: Research Article
Issue Date: 2018
Journal: Journal of Computer Virology and Hacking Techniques
ISSN: 2263-8733
Smart grids utilize communication technologies that make them vulnerable to cyber attacks. The power grid is a critical infrastructure that constitutes a tempting target for sophisticated and well-equipped attackers. In this paper we simulate three malware types capable of attacking smart grid networks in the ns3 simulation environment. First, an aggressive malware type, named the pandemic malware, follows a topological-scan strategy to find and infect all devices on the network in the shortest time possible, via a brute force approach. Next, the more intelligent endemic malware sacrifices speed for stealthiness and operates with a less conspicuous hit-list and permutation-scan strategy. Finally, a highly stealthy malware type called the contagion malware does not scan the network or initiate any connections but rather appends on legitimate communication flows. We define several metrics to express the infection speed, scanning efficiency, stealthiness, and complexity of malware and use those metrics to compare the three malware types. Our simulations provide details on the scanning and propagation behavior of different malware classes. Furthermore, this work allows the assessment of the detectability of different malware types.
Keywords: Malware attacks; Smart grids; Communication networks; Anomaly detection; Network security
DOI: 10.1007/s11416-018-0325-y
Library ID: AC15501173
URN: urn:nbn:at:at-ubtuw:3-6545
Organisation: E389 - Telecommunications 
Publication Type: Article
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