Scada Security: Machine Learning Concepts for Intrusion Detection and Prevention

ISBN-13: 9781119606031 / Angielski / Twarda / 2020 / 224 str.

Abdulmohsen Almalawi; Zahir Tari; Adil Fahad

Spis treści

Foreword ixPreface xiAcronyms xv1. Introduction 12. Background 153. SCADA-Based Security Testbed 254. Efficient k-Nearest Neighbour Approach Based on Various-Widths Clustering 635. SCADA Data-Driven Anomaly Detection 876. A Global Anomaly Threshold to Unsupervised Detection 1197. Threshold Password-Authenticated Secret Sharing Protocols 1518. Conclusion 179References 185Index 195

O autorze

ABDULMOHSEN ALMALAWI, PHD, is Assistant Professor, Department of Computer Science, University of King Abdulaziz, Saudi Arabia. His research is focused on machine learning. He is co-author of Network Classification for Traffic Management.ZAHIR TARI, PHD, is Professor at RMIT University, Australia. He is on the editorial board of several journals, including ACM Computing Surveys, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and IEEE Cloud Computing.ADIL FAHAD, PHD, is Assistant Professor, Department of Computer Science, University of Albaha, Saudi Arabia. His research interests are in the areas of wireless sensor networks, mobile networks, SCADA security, and ad-hoc networks with emphasis on data mining, statistical analysis/modelling, and machine learning.XUN YI, PHD, is Professor, School of Computer Science and Information Technology, RMIT University, Australia. He has published more than 150 research papers in international journals and has led several Australia Research Council (ARC) Discovery projects. He is Associate Editor of IEEE Transactions on Dependable and Secure Computing.