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Machine Learning Embedded System (19 results)
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Condition: New.
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Machine Learning for Embedded System Security
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 116.38
US$ 16.06 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning for Embedded System Security
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 116.82
US$ 16.06 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Machine Learning For Embedded System Sec
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Embedded System Security
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3030941809 ISBN 13: 9783030941802
US$ 110.48
US$ 56.95 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New.
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Machine Learning for Embedded System Security
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3030941779 ISBN 13: 9783030941772
US$ 110.48
US$ 56.95 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New.
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US$ 175.15
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Add to basketPaperback. Condition: Brand New. 175 pages. 9.25x6.10x0.38 inches. In Stock.
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Condition: New.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3030941809 ISBN 13: 9783030941802
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3030941779 ISBN 13: 9783030941772
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing Apr 2022, 2022
ISBN 10: 3030941779 ISBN 13: 9783030941772
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities. 176 pp. Englisch.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing Apr 2023, 2023
ISBN 10: 3030941809 ISBN 13: 9783030941802
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities. 176 pp. Englisch.
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US$ 161.72
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Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Buch. Condition: Neu. Machine Learning for Embedded System Security | Basel Halak | Buch | xv | Englisch | 2022 | Springer | EAN 9783030941772 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. Machine Learning for Embedded System Security | Basel Halak | Taschenbuch | xv | Englisch | 2023 | Springer | EAN 9783030941802 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing, Springer International Publishing Apr 2022, 2022
ISBN 10: 3030941779 ISBN 13: 9783030941772
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
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Machine Learning for Embedded System Security
Language: English
Published by Springer International Publishing, Springer International Publishing Apr 2023, 2023
ISBN 10: 3030941809 ISBN 13: 9783030941802
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
