
Title:
SCADA security : machine learning concepts for intrusion detection and prevention : SCADA-based IDs security
Author:
Almalawi, Abdulmohsen, author.
ISBN:
9781119606383
9781119606352
9781119606079
Edition:
First edition.
Physical Description:
1 online resource (xvi, 196 pages) : illustrations (chiefly color)
Series:
Wiley series on parallel and distributed computing
Wiley series on parallel and distributed computing.
Contents:
Introduction -- Background -- SCADA-Based Security Testbed -- Efficient k-Nearest Neighbour Approach Based on Various-Widths Clustering -- SCADA Data-Driven Anomaly Detection -- A Global Anomaly Threshold to Unsupervised Detection -- Threshold Password-Authenticated Secret Sharing Protocols -- Conclusion.
Abstract:
"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
Local Note:
John Wiley and Sons
Subject Term:
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119606383Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 596235-1001 | TJ222 .A46 2021 | Searching... | Searching... |
