Dissertation/Thesis Abstract

A new scada dataset for intrusion detection research
by Turnipseed, Ian P., M.S., Mississippi State University, 2015, 69; 1596111
Abstract (Summary)

Supervisory Control and Data Acquisition (SCADA) systems monitor and control industrial control systems in many industrials and economic sectors which are considered critical infrastructure. In the past, most SCADA systems were isolated from all other networks, but recently connections to corporate enterprise networks and the Internet have increased. Security concerns have risen from this new found connectivity. This thesis makes one primary contribution to researchers and industry. Two datasets have been introduced to support intrusion detection system research for SCADA systems. The datasets include network traffic captured on a gas pipeline SCADA system in Mississippi State University’s SCADA lab. IDS researchers lack a common framework to train and test proposed algorithms. This leads to an inability to properly compare IDS presented in literature and limits research progress. The datasets created for this thesis are available to be used to aid researchers in assessing the performance of SCADA IDS systems.

Indexing (document details)
Advisor: Morris, Thomas H.
Commitee: Dampier, David A., McGrew, Robert W.
School: Mississippi State University
Department: Electrical and Computer Engineering
School Location: United States -- Mississippi
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Computer Engineering, Electrical engineering
Keywords: Dataset, Gas pipeline, Industrial control systems, Intrusion detection, Modbus, Scada
Publication Number: 1596111
ISBN: 978-1-321-95963-5
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy