Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 114,45
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 119,72
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 122,09
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Aggiungi al carrelloHardback. Condizione: New. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Da: Majestic Books, Hounslow, Regno Unito
EUR 117,17
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 123,38
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2021
ISBN 10: 1119606039 ISBN 13: 9781119606031
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 130,49
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Aggiungi al carrelloHardback. Condizione: New. Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systemsthe control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory managementcan 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 systemsDescribes the relationship between main components and three generations of SCADA systemsExplains the classification of a SCADA IDS based on its architecture and implementationSurveys 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 114,59
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 119,48
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 128,87
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 129,40
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Da: Ubiquity Trade, Miami, FL, U.S.A.
EUR 147,74
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Aggiungi al carrelloCondizione: New. Brand new! Please provide a physical shipping address.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 139,95
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Aggiungi al carrelloCondizione: New. In English.
Da: Chiron Media, Wallingford, Regno Unito
EUR 149,80
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Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 129,39
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Aggiungi al carrelloHardback. Condizione: New. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Lingua: Inglese
Editore: Inst of Engineering & Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Revaluation Books, Exeter, Regno Unito
EUR 163,28
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.25x6.25x0.75 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 179,97
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Da: moluna, Greven, Germania
EUR 133,85
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Aggiungi al carrelloGebunden. Condizione: New. ABDULMOHSEN ALMALAWI, PHD, is Assistant Professor, Department of Computer Science, University of King Abdulaziz, Saudi Arabia. His research is focused on machine learning. He is co-author of Network Classification for Traffic Management.ZAHIR TARI, PHD, is .
Da: Revaluation Books, Exeter, Regno Unito
EUR 181,76
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 9.00x6.00x1.10 inches. In Stock.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2021
ISBN 10: 1119606039 ISBN 13: 9781119606031
Da: Rarewaves.com UK, London, Regno Unito
EUR 122,37
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systemsthe control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory managementcan 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 systemsDescribes the relationship between main components and three generations of SCADA systemsExplains the classification of a SCADA IDS based on its architecture and implementationSurveys 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.
Lingua: Inglese
Editore: Institution of Engineering & Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Buchpark, Trebbin, Germania
EUR 93,48
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: INSTITUTION OF ENGINEERING & T, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: moluna, Greven, Germania
EUR 153,86
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Aggiungi al carrelloGebunden. Condizione: New. Über den AutorrnrnZahir Tari is a full professor and discipline head of the School of Computer Science, RMIT University, Australia. His expertise is in the areas of system performance (e.g., cloud, IoT) as well as system security (e.g., .
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2020
ISBN 10: 1785619217 ISBN 13: 9781785619212
Da: Majestic Books, Hounslow, Regno Unito
EUR 215,54
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 207,04
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: preigu, Osnabrück, Germania
EUR 160,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. How Synthetic Drugs Work | Insights into Molecular Pharmacology of Classic and New Pharmaceuticals | Imran Kazmi (u. a.) | Taschenbuch | Englisch | Academic Press | EAN 9780323998550 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 147,40
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 196 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 155,63
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.