Search Results - (( software defined learning algorithm ) OR ( java implication based algorithm ))

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    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

    Published 2021
    “…This paper provides the scholarly community with an approach to boosting service availability in web servers under slow Hypertext Transfer Protocol (HTTP) DDoS attacks through attack detection using Genetic Algorithm and Support Vector Machine which facilitates attack mitigation in a Software-Defined Networking (SDN) environment simulated in GNS3. …”
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    TPAAD: Two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network by Najmun, Nisa, Adnan Shahid, Khan, Zeeshan, Ahmed, Najmun, Nisa

    Published 2024
    “…Software-defined networking (SDN) has received considerable attention and adoption owing to its inherent advantages, such as enhanced scalability, increased adaptability, and the ability to exercise centralized control. …”
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    Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks by Najmun, Najmun

    Published 2024
    “…As a result of this growing dependence, traffic and users worldwide have also grown. Therefore, Software Defined Networking (SDN) is one of the solutions administrators are employing to handle this expansion. …”
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    A Mininet emulation study for SDN fat tree data center sleep mode routing algorithms by Fawzi S., Din N.M.

    Published 2025
    “…In this scenario, the implementation of sleep mode in software defined network (SDN) data centres could provide an energy aware solution. …”
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    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…To be more specific, it is regarding facial expression recognition based on deep learning. Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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    Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module by Mujber, Tariq Saad

    Published 2001
    “…The implementation of this multimedia-based learning for robot technology will help to enhance the learning abilities of the engineering students. …”
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    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…Among the available learning algorithms in the Neural Network Toolbox of MATLAB, three algorithms, gradient descent back propagation (TRAINGD), gradient descent with adaptive learning rule back propagation (TRAINGDA) and the Levenberg-Marquardt (TRAINLM) were studied. …”
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