SCADA security : machine learning concepts for intrusion detection and prevention / Abdulmohsen Almalawi [and three others].

Format:

Book

Author/Creator:

Almalawi, Abdulmohsen, author.

Language:

English

Subjects (All):

Supervisory control systems.

Automatic control--Security measures.

Automatic control.

Intrusion detection systems (Computer security).

Physical Description:

1 online resource (219 pages) : illustrations

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Incorporated, [2021]

Summary:

"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"-- Provided by publisher.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781119606352

1119606357

9781523137091

1523137096

9781119606383

1119606381

9781119606079

1119606071