De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage
Bag om Foundations and Practice of Security

This book constitutes the revised selected papers of the 14th International Symposium on Foundations and Practice of Security, FPS 2021, held in Paris, France, in December 2021. The 18 full papers and 9 short paper presented in this book were carefully reviewed and selected from 62 submissions. They cover a range of topics such as Analysis and Detection; Prevention and Efficiency; and Privacy by Design. Chapters ¿A Quantile-based Watermarking Approach for Distortion Minimization¿, ¿Choosing Wordlists for Password Guessing: An Adaptive Multi-Armed Bandit Approach¿ and ¿A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection¿ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031081460
  • Indbinding:
  • Paperback
  • Sideantal:
  • 432
  • Udgivet:
  • 16. juni 2022
  • Udgave:
  • 22001
  • Størrelse:
  • 155x24x235 mm.
  • Vægt:
  • 651 g.
  • 8-11 hverdage.
  • 7. december 2024
På lager

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Foundations and Practice of Security

This book constitutes the revised selected papers of the 14th International Symposium on Foundations and Practice of Security, FPS 2021, held in Paris, France, in December 2021.
The 18 full papers and 9 short paper presented in this book were carefully reviewed and selected from 62 submissions. They cover a range of topics such as Analysis and Detection; Prevention and Efficiency; and Privacy by Design.
Chapters ¿A Quantile-based Watermarking Approach for Distortion Minimization¿, ¿Choosing Wordlists for Password Guessing: An Adaptive Multi-Armed Bandit Approach¿ and ¿A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection¿ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Brugerbedømmelser af Foundations and Practice of Security