SCADA security: machine learning concepts for intrusion detection and prevention : SCADA-based IDs security
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ, USA
Wiley
2021
|
| Series: | Wiley series on parallel and distributed computing
|
| Links: | https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=6424081 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119606383 |
| 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"--.. |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource Illustrationen |
| ISBN: | 9781119606383 1119606381 9781119606352 1119606357 9781119606079 1119606071 |
Staff View
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| 520 | 3 | |a "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"--.. | |
| 700 | 1 | |a Tari, Zahir |d 1961- |e Verfasser |0 (DE-588)1197562176 |4 aut | |
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| author | Almalawi, Abdulmohsen Tari, Zahir 1961- Fahad, Adil Yi, Xun |
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| format | Electronic eBook |
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| id | DE-604.BV047246028 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:13:56Z |
| institution | BVB |
| isbn | 9781119606383 1119606381 9781119606352 1119606357 9781119606079 1119606071 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032650194 |
| oclc_num | 1249661231 |
| open_access_boolean | |
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| physical | 1 Online-Ressource Illustrationen |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series on parallel and distributed computing |
| spellingShingle | Almalawi, Abdulmohsen Tari, Zahir 1961- Fahad, Adil Yi, Xun SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security |
| title | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security |
| title_auth | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security |
| title_exact_search | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security |
| title_full | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security Abdulmohsen Almalawi (King Abdulaziz University), Zahir Tari (RMIT University), Adil Fahad (Al Baha University), Xun Yi (Royal Melbourne Institute of Technology) |
| title_fullStr | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security Abdulmohsen Almalawi (King Abdulaziz University), Zahir Tari (RMIT University), Adil Fahad (Al Baha University), Xun Yi (Royal Melbourne Institute of Technology) |
| title_full_unstemmed | SCADA security machine learning concepts for intrusion detection and prevention : SCADA-based IDs security Abdulmohsen Almalawi (King Abdulaziz University), Zahir Tari (RMIT University), Adil Fahad (Al Baha University), Xun Yi (Royal Melbourne Institute of Technology) |
| title_short | SCADA security |
| title_sort | scada security machine learning concepts for intrusion detection and prevention scada based ids security |
| title_sub | machine learning concepts for intrusion detection and prevention : SCADA-based IDs security |
| work_keys_str_mv | AT almalawiabdulmohsen scadasecuritymachinelearningconceptsforintrusiondetectionandpreventionscadabasedidssecurity AT tarizahir scadasecuritymachinelearningconceptsforintrusiondetectionandpreventionscadabasedidssecurity AT fahadadil scadasecuritymachinelearningconceptsforintrusiondetectionandpreventionscadabasedidssecurity AT yixun scadasecuritymachinelearningconceptsforintrusiondetectionandpreventionscadabasedidssecurity |