يعرض 1 - 10 نتائج من 44 نتيجة بحث عن '"DoS detection"', وقت الاستعلام: 1.33s تنقيح النتائج
  1. 1
    مؤتمر
    API Traffic Anomaly Detection in Microservice Architecture

    المؤلفون: Sowmya, M, Rai, Ankith J, Spoorthi, V, Irfan, Md, Honnavalli, Prasad B, Nagasundari, S

    المصدر: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) CCGRIDW Cluster, Cloud and Internet Computing Workshops (CCGridW), 2023 IEEE/ACM 23rd International Symposium on. :206-213 May, 2023

    Relation: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)

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  2. 2
    مؤتمر
    Detection of DoS Attack using AdaBoost Algorithm on IoT System

    المؤلفون: Rachmadi, Salman, Mandala, Satria, Oktaria, Dita

    المصدر: 2021 International Conference on Data Science and Its Applications (ICoDSA) Data Science and Its Applications (ICoDSA), 2021 International Conference on. :28-33 Oct, 2021

    Relation: 2021 International Conference on Data Science and Its Applications (ICoDSA)

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  3. 3
    مؤتمر
    Detecting Slow Application-Layer DoS Attacks With PCA

    المؤلفون: Kemp, Clifford, Calvert, Chad, Khoshgoftaar, Taghi M.

    المصدر: 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI) IRI Information Reuse and Integration for Data Science (IRI), 2021 IEEE 22nd International Conference on. :176-183 Aug, 2021

    Relation: 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)

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  4. 4
    دورية أكاديمية
    Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets

    المؤلفون: Zeeshan, M., Riaz, Q., Bilal, M.A., Shahzad, M.K., Jabeen, H., Haider, S.A., Rahim, A.

    المصدر: IEEE Access Access, IEEE. 10:2269-2283 2022

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  5. 5
    مؤتمر
    Smart Detection-IoT: A DDoS Sensor System for Internet of Things

    المؤلفون: Fernandes Silveira, Frederico Augusto, Lima-Filho, Francisco, Dantas Silva, Felipe Sampaio, de Medeiros Brito Junior, Agostinho, Silveira, Luiz Felipe

    المصدر: 2020 International Conference on Systems, Signals and Image Processing (IWSSIP) Systems, Signals and Image Processing (IWSSIP), 2020 International Conference on. :343-348 Jul, 2020

    Relation: 2020 International Conference on Systems, Signals and Image Processing (IWSSIP)

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  6. 6
    مؤتمر
    Adversarial Attack Against DoS Intrusion Detection: An Improved Boundary-Based Method

    المؤلفون: Peng, Xiao, Huang, Weiqing, Shi, Zhixin

    المصدر: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) Tools with Artificial Intelligence (ICTAI), 2019 IEEE 31st International Conference on. :1288-1295 Nov, 2019

    Relation: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)

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  7. 7
    دورية أكاديمية
    An Efficient IDS Framework for DDoS Attacks in SDN Environment

    المؤلفون: Varghese, J.E., Muniyal, B.

    المصدر: IEEE Access Access, IEEE. 9:69680-69699 2021

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  8. 8
    مؤتمر
    A Testbed for the Evaluation of Denial of Service Attacks in Software-Defined Networks

    المؤلفون: Wright, Andrea P., Ghani, Nasir

    المصدر: 2019 SoutheastCon SoutheastCon, 2019. :1-6 Apr, 2019

    Relation: SoutheastCon 2019

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  9. 9
    مؤتمر
    A Distributed Self-Organizing Map for DoS attack detection

    المؤلفون: Kim, Minhoe, Jung, Souhwan, Park, Minho

    المصدر: 2015 Seventh International Conference on Ubiquitous and Future Networks Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on. :19-22 Jul, 2015

    Relation: 2015 Seventh International Conference on Ubiquitous and Future Networks (ICUFN)

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  10. 10
    دورية أكاديمية
    Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets

    المؤلفون: Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

    المصدر: IEEE Access, Vol 10, Pp 2269-2283 (2022)

    مصطلحات موضوعية: Intrusion detection in IoT, deep learning for intrusion detection, DoS detection, DDoS detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9656911/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/a0dc1f124f0a482e83c980db6cb59067

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