Search Results - protocol distributed learning algorithm

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  1. 1
    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks

    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 study contributes to the ongoing research in detecting and mitigating slow HTTP DDoS attacks with emphasis on the use of machine learning classification and meta-heuristic algorithms.…”
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  2. 2
    Distributed denial of service attack in HTTP/2: review on security issues and future challenges

    Distributed denial of service attack in HTTP/2: review on security issues and future challenges by Liang Ming, Leau, Yu-Beng, Ying Xie

    Published 2024
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  3. 3
    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…In machine learning algorithm, choosing the most relevant features for each attack is a very important requirement, especially in mobile ad hoc networks where the network topology dynamically changes. …”
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  4. 4
    A stable energy balancing based clustering routing protocol for IoUT using meta-heuristic technique

    A stable energy balancing based clustering routing protocol for IoUT using meta-heuristic technique by Ali, Elmustafa Sayed, Saeed, Rashid A, Eltahir, Ibrahim Khider, Khalifa, Othman Omran

    Published 2024
    “…The proposed method enable to optimization the IoUT energy efficiency by balancing strategy that uses the Q-learning algorithm to ensure more balanced distribution of tasks across UNs and CHs. …”
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  5. 5
    Energy efficient cluster head distribution in wireless sensor networks

    Energy efficient cluster head distribution in wireless sensor networks by Siew, Zhan Wei

    Published 2013
    “…PSO is lightweight heuristic optimization algorithm with each CH will move towards the best solutions by individual interaction with one another while learning from their own experience. …”
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  6. 6
    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems

    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems by Franco, Daniel Jose Da Graca Peceguina

    Published 2021
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  7. 7
    Review of energy conservation using duty cycling schemes for IEEE 802.15.4 wireless sensor network (WSN)

    Review of energy conservation using duty cycling schemes for IEEE 802.15.4 wireless sensor network (WSN) by Shabaneh, Arafat A. A., Mohd Ali, Azizi, Ng, Chee Kyun, Noordin, Nor Kamariah, Sali, Aduwati, Yaacob, Mohd. Hanif

    Published 2014
    “…This paper reviews several duty cycle mechanisms in WSN such as Duty Cycle Learning Algorithm, adaptive media access control (MAC) protocol for efficient IEEE 802.15.4 (AMPE), distributed duty cycle management (DDCM), distributed duty cycle management low power broadcast (DDCM + LPB) and distributed beacon only period. …”
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  8. 8
    The Vision of 5G and Cell-Free Communication Networks in Malaysia

    The Vision of 5G and Cell-Free Communication Networks in Malaysia by Mahdi M.N., Mohamed K.S., Ahmad A.R., Subhi M.A.

    Published 2023
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  9. 9
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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  10. 10
    Software agent as an effective tool for managing the Internet of thing data complexity

    Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

    Published 2017
    “…On top of that, the existing analysis tools and algorithms did not consider the data generated by sensory devices connected to the Internet. …”
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