DocumentCode
3716723
Title
Predicting the Effects of DDoS Attacks on a Network of Critical Infrastructures
Author
William Hurst;Nathan Shone;Quentin Monnet
Author_Institution
Sch. of Comput. &
fYear
2015
Firstpage
1697
Lastpage
1702
Abstract
Over the last decade, the level of critical infrastructure technology has been steadily transforming in order to keep pace with the growing demand for the services offered. The implementation of the smart grid, which relies on a complex and intelligent level of interconnectivity, is one example of how vital amenity provision is being refined. However, with this change, the risk of threats from the digital domain must be calculated. Superior interconnectivity between infrastructures means that the future cascading impacts of successful cyber-attacks are unknown. One such threat being faced in the digital domain is the Distributed Denial of Service (DDoS) attack. A DDoS has the goal of incapacitating a server, network or service, by barraging a target with external data traffic in the form of communication requests. DDoS have the potential to cause a critical infrastructure outage, and the subsequent impact on a network of such infrastructures is yet unknown. In this paper, an approach for assessing the future impacts of a cyber-attack in a network of critical infrastructures is presented, with a focus on DDoS attacks. A simulation of a critical infrastructure network provides data to represent both normal run-time and an attack scenario. Using this dataset, a technique for assessing the future impact of disruptions on integrated critical infrastructure network, is demonstrated.
Keywords
"Computer crime","Wireless sensor networks","Sensors","Smart grids","Servers","Floods","Power system faults"
Publisher
ieee
Conference_Titel
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/CIT/IUCC/DASC/PICOM.2015.256
Filename
7363302
Link To Document