These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 37053064)

  • 1. CapsRule: Explainable Deep Learning for Classifying Network Attacks.
    Mahdavifar S; Ghorbani AA
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; 35(9):12434-12448. PubMed ID: 37053064
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm.
    Ramzan M; Shoaib M; Altaf A; Arshad S; Iqbal F; Castilla ÁK; Ashraf I
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896735
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks.
    Patil NV; Krishna CR; Kumar K
    Cluster Comput; 2022; 25(2):1355-1372. PubMed ID: 35068996
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT.
    Aslam M; Ye D; Tariq A; Asad M; Hanif M; Ndzi D; Chelloug SA; Elaziz MA; Al-Qaness MAA; Jilani SF
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408312
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems.
    Polat O; Türkoğlu M; Polat H; Oyucu S; Üzen H; Yardımcı F; Aksöz A
    Sensors (Basel); 2024 Feb; 24(3):. PubMed ID: 38339756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Intelligent Agent-Based Detection System for DDoS Attacks Using Automatic Feature Extraction and Selection.
    Abu Bakar R; Huang X; Javed MS; Hussain S; Majeed MF
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36992049
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments.
    Aldhyani THH; Alkahtani H
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808184
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks.
    Nazih W; Hifny Y; Elkilani WS; Dhahri H; Abdelkader T
    Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33080829
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep convolutional neural network and IoT technology for healthcare.
    Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
    Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
    [TBL] [Abstract][Full Text] [Related]  

  • 10. IoT-DH dataset for classification, identification, and detection DDoS attack in IoT.
    Saif S; Widyawan W; Ferdiana R
    Data Brief; 2024 Jun; 54():110496. PubMed ID: 38774247
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimization of vector convolutional deep neural network using binary real cumulative incarnation for detection of distributed denial of service attacks.
    Amma NGB; Selvakumar S
    Neural Comput Appl; 2022; 34(4):2869-2882. PubMed ID: 34629759
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extraction of the association rules from artificial neural networks based on the multiobjective optimization.
    Yedjour D; Yedjour H; Chouraqui S
    Network; 2022; 33(3-4):233-252. PubMed ID: 36260493
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GLD-Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion.
    Guo W; Qiu H; Liu Z; Zhu J; Wang Q
    Comput Intell Neurosci; 2022; 2022():4611331. PubMed ID: 36017461
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DDosTC: A Transformer-Based Network Attack Detection Hybrid Mechanism in SDN.
    Wang H; Li W
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372284
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models.
    Almaraz-Rivera JG; Perez-Diaz JA; Cantoral-Ceballos JA
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591056
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A hybrid machine learning approach for detecting unprecedented DDoS attacks.
    Najafimehr M; Zarifzadeh S; Mostafavi S
    J Supercomput; 2022; 78(6):8106-8136. PubMed ID: 35017789
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices.
    Karmous N; Aoueileyine MO; Abdelkader M; Romdhani L; Youssef N
    Sensors (Basel); 2024 Aug; 24(15):. PubMed ID: 39124069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders.
    Hayashi Y; Setiono R; Yoshida K
    Artif Intell Med; 2000 Nov; 20(3):205-16. PubMed ID: 10998587
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Securing web applications against XSS and SQLi attacks using a novel deep learning approach.
    Tadhani JR; Vekariya V; Sorathiya V; Alshathri S; El-Shafai W
    Sci Rep; 2024 Jan; 14(1):1803. PubMed ID: 38245563
    [TBL] [Abstract][Full Text] [Related]  

  • 20. KS-DDoS: Kafka streams-based classification approach for DDoS attacks.
    Patil NV; Krishna CR; Kumar K
    J Supercomput; 2022; 78(6):8946-8976. PubMed ID: 35068686
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.