يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"Zenden, Ivo"', وقت الاستعلام: 0.44s تنقيح النتائج
  1. 1
    Report
    On the Resilience of Machine Learning-Based IDS for Automotive Networks

    المؤلفون: Zenden, Ivo, Wang, Han, Iacovazzi, Alfonso, Vahidi, Arash, Blom, Rolf, Raza, Shahid

    المصدر: 2023 IEEE Vehicular Networking Conference (VNC), Istanbul, Turkiye, 2023, pp. 239-246

    مصطلحات موضوعية: Computer Science - Cryptography and Security

    URL الوصول: http://arxiv.org/abs/2306.14782

    View record in Arxiv

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  2. 2
    Dissertation/ Thesis
    The Resilience of Deep Learning Intrusion Detection Systems for Automotive Networks : The effect of adversarial samples and transferability on Deep Learning Intrusion Detection Systems for Controller Area Networks
    Motståndskraften hos Deep Learning Intrusion Detection Systems för fordonsnätverk : Effekten av kontradiktoriska prover och överförbarhet på Deep Learning Intrusion Detection Systems för Controller Area Networks

    المؤلفون: Zenden, Ivo

    مصطلحات موضوعية: Vehicle Security, Deep Learning, Controller Area Network, Intrusion Detection System, Adversarial Samples, Fordonssäkerhet, kontradiktoriska prover, Computer and Information Sciences, Data- och informationsvetenskap

    وصف الملف: application/pdf

    Relation: TRITA-EECS-EX ; 2022:583

    الاتاحة: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321412

    View record in Networked Digital Library of Theses & Dissertations

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  3. 3
    Motståndskraften hos Deep Learning Intrusion Detection Systems för fordonsnätverk : Effekten av kontradiktoriska prover och överförbarhet på Deep Learning Intrusion Detection Systems för Controller Area Networks

    المؤلفون: Zenden, Ivo

    مصطلحات موضوعية: Computer and Information Sciences, Deep Learning, Adversarial Samples, Controller Area Network, Data- och informationsvetenskap, kontradiktoriska prover, Vehicle Security, Fordonssäkerhet, Intrusion Detection System

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______260::0f2c132aad4289c5eedde91a89b85cac
    http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321412

    View record in OpenAIRE

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  4. 4
    Dissertation/ Thesis
    The Resilience of Deep Learning Intrusion Detection Systems for Automotive Networks : The effect of adversarial samples and transferability on Deep Learning Intrusion Detection Systems for Controller Area Networks ; Motståndskraften hos Deep Learning Intrusion Detection Systems för fordonsnätverk : Effekten av kontradiktoriska prover och överförbarhet på Deep Learning Intrusion Detection Systems för Controller Area Networks

    المؤلفون: Zenden, Ivo

    مصطلحات موضوعية: Vehicle Security, Deep Learning, Controller Area Network, Intrusion Detection System, Adversarial Samples, Fordonssäkerhet, kontradiktoriska prover, Computer and Information Sciences, Data- och informationsvetenskap

    وصف الملف: application/pdf

    Relation: TRITA-EECS-EX; 2022:583

    الاتاحة: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321412

    View record in BASE

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