Optimization of Stealthwatch Network Security System for the Detection and Mitigation of Distributed Denial of Service (DDoS) Attack: Application to Smart Grid System
- 1 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 2 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 3 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 4 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 5 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 6 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
- 7 Electrical and Computer Engineering Department, Prairie View A&M University, Prairie View, TX, USA
Abstract
The Smart Grid is an enhancement of the traditional grid system and employs new technologies and sophisticated communication techniques for electrical power transmission and distribution. The Smart Grid’s communication network shares information about status of its several integrated IEDs (Intelligent Electronic Devices). However, the IEDs connected throughout the Smart Grid, open opportunities for attackers to interfere with the communications and utilities resources or take clients’ private data. This development has introduced new cyber-security challenges for the Smart Grid and is a very concerning issue because of emerging cyber-threats and security incidents that have occurred recently all over the world. The purpose of this research is to detect and mitigate Distributed Denial of Service [DDoS] with application to the Electrical Smart Grid System by deploying an optimized Stealthwatch Secure Network analytics tool. In this paper, the DDoS attack in the Smart Grid communication networks was modeled using Stealthwatch tool. The simulated network consisted of Secure Network Analytic tools virtual machines (VMs), electrical Grid network communication topology, attackers and Target VMs. Finally, the experiments and simulations were performed, and the research results showed that Stealthwatch analytic tool is very effective in detecting and mitigating DDoS attacks in the Smart Grid System without causing any blackout or shutdown of any internal systems as compared to other tools such as GNS3, NeSSi2, NISST Framework, OMNeT++, INET Framework, ReaSE, NS2, NS3, M5 Simulator, OPNET, PLC & TIA Portal management Software which do not have the capability to do so. Also, using Stealthwatch tool to create a security baseline for Smart Grid environment, contributes to risk mitigation and sound security hygiene.
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