TY  - BOOK
AU  - Almalawi,Abdulmohsen
AU  - Tari,Zahir
AU  - Fahad,Adil
AU  - Yi,Xun
TI  - SCADA security: machine learning concepts for intrusion detection and prevention 
T2  - Wiley series on parallel and distributed computing
SN  - 9781119606352
U1  - 629.8/95583 
KW  - Supervisory control systems
KW  - Automatic control
KW  - Security measures
KW  - Intrusion detection systems (Computer security)
KW  - Machine learning
N2  - "This book provides insights into issues of SCADA security. Chapter 1 discusses how potential attacks against traditional IT can also be possible against SCADA systems. Chapter 2 gives background information on SCADA systems, their architectures, and main components. In Chapter 3, the authors describe SCADAVT, a framework for a SCADA security testbed based on virtualization technology. Chapter 4 introduces an approach called kNNVWC to find the k-nearest neighbours in large and high dimensional data. Chapter 5 describes an approach called SDAD to extract proximity-based detection rules, from unlabelled SCADA data, based on a clustering-based technique. In Chapter 6, the authors explore an approach called GATUD which finds a global and efficient anomaly threshold. The book concludes with a summary of the contributions made by this book to the extant body of research, and suggests possible directions for future research"--
UR  - https://ieeexplore.ieee.org/servlet/opac?bknumber=9820846
ER  -