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Network and System Security [electronic resource] : 17th International Conference, NSS 2023, Canterbury, UK, August 14-16, 2023, Proceedings / edited by Shujun Li, Mark Manulis, Atsuko Miyaji.

Contributor(s): Li, Shujun [editor.] | Manulis, Mark [editor.] | Miyaji, Atsuko [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 13983Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XIII, 398 p. 92 illus., 70 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031398285.Subject(s): Computer networks -- Security measures | Data protection | Mobile and Network Security | Security ServicesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 Online resources: Click here to access online
Contents:
Attacks and Malware -- Blockchain -- Cryptography and Privacy -- Machine Learning -- Security through Hardware -- Security in the Wild. .
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 17th International Conference on Network and System Security, NSS 2023, held in Canterbury, UK, August 14-16, 2023. The 12 full and 9 short papers presented together with 2 invited talks in this book were carefully reviewed and selected from 64 submissions. They focus on Attacks and Malware, Blockchain, Security through Hardware, Machine learning and much more.
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Attacks and Malware -- Blockchain -- Cryptography and Privacy -- Machine Learning -- Security through Hardware -- Security in the Wild. .

This book constitutes the refereed proceedings of the 17th International Conference on Network and System Security, NSS 2023, held in Canterbury, UK, August 14-16, 2023. The 12 full and 9 short papers presented together with 2 invited talks in this book were carefully reviewed and selected from 64 submissions. They focus on Attacks and Malware, Blockchain, Security through Hardware, Machine learning and much more.

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