Federated Learning for Decentralized DDoS Attack Detection in IoT Networks (vol 12, pg 42357, 2024)

被引：0
|
作者：
Alhasawi, Yaser [1 ]
Alghamdi, Salem [2 ]
机构：
[1] KAU, Jeddah 21589, Saudi Arabia
[2] Inst Publ Adm, Riyadh, Saudi Arabia
来源：
IEEE ACCESS | 2024年 / 12卷
关键词：
Federated learning; Denial-of-service attack;
D O I：
10.1109/ACCESS.2024.3430222
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Presents a discussion, comment or reply to the paper, Corrections to "Federated Learning for Decentralized DDoS Attack Detection in IoT Networks".
引用
收藏
页码：125571 / 125571
页数：1
相关论文
共 50 条
  • [1] Federated Learning for Decentralized DDoS Attack Detection in IoT Networks
    Alhasawi, Yaser
    Alghamdi, Salem
    [J]. IEEE ACCESS, 2024, 12 : 42357 - 42368
  • [2] PoAh-Enabled Federated Learning Architecture for DDoS Attack Detection in IoT Networks
    Park, Jin Ho
    Yotxay, Sangthong
    Singh, Sushil Kumar
    Park, Jong Hyuk
    [J]. HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2024, 14 : 1 - 24
  • [3] DDoS Attack Detection in a Real Urban IoT Environment using Federated Deep Learning
    Ahmadi, Khatereh
    Javidan, Reza
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE, CSR, 2023, : 117 - 122
  • [4] Deep Ensemble Learning With Pruning for DDoS Attack Detection in IoT Networks
    Saiyedand, Makhduma F.
    Al-Anbagi, Irfan
    [J]. IEEE Transactions on Machine Learning in Communications and Networking, 2024, 2 : 596 - 616
  • [5] FLAD: Adaptive Federated Learning for DDoS attack detection
    Doriguzzi-Corin, Roberto
    Siracusa, Domenico
    [J]. COMPUTERS & SECURITY, 2024, 137
  • [6] Federated IoT attack detection using decentralized edge data
    Regan, Christopher
    Nasajpour, Mohammad
    Parizi, Reza M.
    Pouriyeh, Seyedamin
    Dehghantanha, Ali
    Choo, Kim-Kwang Raymond
    [J]. MACHINE LEARNING WITH APPLICATIONS, 2022, 8
  • [7] DDoS attack detection techniques in IoT networks: a survey
    Pakmehr, Amir
    Assmuth, Andreas
    Taheri, Negar
    Ghaffari, Ali
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (10): : 14637 - 14668
  • [8] Detection of DDoS Attack in IoT Using Machine Learning
    Kumar, Naveen
    Aleem, Abdul
    Kumar, Sachin
    [J]. ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2021, 2022, 1534 : 190 - 199
  • [9] FLDDoS: DDoS Attack Detection Model based on Federated Learning
    Zhang, Jiachao
    Yu, Peiran
    Qi, Le
    Liu, Song
    Zhang, Haiyu
    Zhang, Jianzhong
    [J]. 2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021), 2021, : 635 - 642
  • [10] DDoS attack detection using unsupervised federated learning for 5G networks and beyond
    Sheikhi, Saeid
    Kostakos, Panos
    [J]. 2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT, 2023, : 442 - 447
12345