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Herausgeber: 
  • Joaquin Garcia-Alfaro
  • Samiha Ayed
  • Frédéric Cuppens
  • Françoise Sailhan
  • Ranwa Al-Mallah
  • Foundations and Practice of Security: 18th International Symposium, FPS 2025, Brest, France, November 25–27, 2025, Revised Selected Papers, Part I 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2026  
    Genre:  EDV / Informatik 
     
    AI applied to Cybersecurity / Attack Detection / Attack Mitigation / Computer Communication Networks / Computer Engineering and Networks / Computerhardware / cryptography / Cyber Resilience
    ISBN:  9783032200174 
    EAN-Code: 
    9783032200174 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  468 
    Illustration:  XIII, 468 p. 130 illus., 94 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This two volume constitutes the refereed proceedings of the 18th International Symposium on Foundations and Practice of Security, FPS 2025, held in Brest, France during November 25–27, 2025. The 38 full and 8 short papers presented in this book were carefully reviewed and selected from 91 submissions. These papers were organized in the following topical sections:
    Part I: Security, Privacy, and Trust in Emerging Distributed Systems; Cyber Resilience and Risk Management in Enterprise Architectures; Formal Methods and Automated Analysis for Secure Software Systems; Machine Learning and Intelligent Systems for Attack Detection and Trust Evaluation; Applications to Industry and Critical Infrastructure.
    Part II: Advances in Privacy-Preserving Cryptography and Secure Computation; Secure and Intelligent Network Architectures for Next-Generation Communications; Secure, Explainable, and Efficient Machine Learning in Cybersecurity; Short Papers.

      



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