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SCADA Security - 9781119606031
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Item specifics
- Condition
- Book Title
- SCADA Security
- ISBN
- 9781119606031
- Publication Name
- Scada Security: Machine Learning Concepts for Intrusion Detection and Prevention
- Publisher
- John Wiley & Sons AND Sons LTD
- Subject
- Engineering & Technology, Computer Science
- Publication Year
- 2021
- Series
- Wiley Series on Parallel and Distributed Computing
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 234 mm
- Item Weight
- 468 g
- Item Width
- 158 mm
- Number of Pages
- 224 Pages
About this product
Product Information
Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systems the control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory management can lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning. Providing expert insights, practical advice, and up-to-date coverage of developments in SCADA security, this authoritative guide presents a new approach for efficient unsupervised IDS driven by SCADA-specific data. Organized into eight in-depth chapters, the text first discusses how traditional IT attacks can also be possible against SCADA, and describes essential SCADA concepts, systems, architectures, and main components. Following chapters introduce various SCADA security frameworks and approaches, including evaluating security with virtualization-based SCADAVT, using SDAD to extract proximity-based detection, finding a global and efficient anomaly threshold with GATUD, and more. This important book: Provides diverse perspectives on establishing an efficient IDS approach that can be implemented in SCADA systems Describes the relationship between main components and three generations of SCADA systems Explains the classification of a SCADA IDS based on its architecture and implementation Surveys the current literature in the field and suggests possible directions for future research SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is a must-read for all SCADA security and networking researchers, engineers, system architects, developers, managers, lecturers, and other SCADA security industry practitioners.
Product Identifiers
Publisher
John Wiley & Sons AND Sons LTD
ISBN-13
9781119606031
eBay Product ID (ePID)
8046514163
Product Key Features
Number of Pages
224 Pages
Publication Name
Scada Security: Machine Learning Concepts for Intrusion Detection and Prevention
Language
English
Subject
Engineering & Technology, Computer Science
Publication Year
2021
Type
Textbook
Series
Wiley Series on Parallel and Distributed Computing
Format
Hardcover
Dimensions
Item Height
234 mm
Item Weight
468 g
Item Width
158 mm
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Seller business information
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- w***r (65)- Feedback left by buyer.Past 6 monthsVerified purchaseItem as described and despatched in quick time. Item arrived within 3 days and was well packaged. Item was much cheaper than I found elsewhere online. I had a query about my order and the seller responded on the same day and sorted everything out. Would happily buy from seller again
- r***y (412)- Feedback left by buyer.Past 6 monthsVerified purchaseFirst book went missing/didn't arrive, but Jessica in customer support sorted it out, sending a second copy, it arrived fast and safe, as described, well wrapped, good price and quick customer support. Thank you Jessicaππππ₯°πRunes: a Handbook - 9781783276974 (#314128475728)
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