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 *

199 related articles for article (PubMed ID: 32904236)

  • 21. A Novel Protective Framework for Defeating HTTP-Based Denial of Service and Distributed Denial of Service Attacks.
    Saleh MA; Abdul Manaf A
    ScientificWorldJournal; 2015; 2015():238230. PubMed ID: 26065015
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Advanced machine learning approach for DoS attack resilience in internet of vehicles security.
    Ahmed N; Hassan F; Aurangzeb K; Magsi AH; Alhussein M
    Heliyon; 2024 Apr; 10(8):e28844. PubMed ID: 38681562
    [TBL] [Abstract][Full Text] [Related]  

  • 23. DDoS attack detection in smart grid network using reconstructive machine learning models.
    Naqvi SSA; Li Y; Uzair M
    PeerJ Comput Sci; 2024; 10():e1784. PubMed ID: 38259891
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Effective Feature Selection Methods to Detect IoT DDoS Attack in 5G Core Network.
    Kim YE; Kim YS; Kim H
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632228
    [TBL] [Abstract][Full Text] [Related]  

  • 26. High-Speed Network DDoS Attack Detection: A Survey.
    Haseeb-Ur-Rehman RMA; Aman AHM; Hasan MK; Ariffin KAZ; Namoun A; Tufail A; Kim KH
    Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571632
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. An Efficient Multilevel Probabilistic Model for Abnormal Traffic Detection in Wireless Sensor Networks.
    Khan MA; Nasralla MM; Umar MM; Ghani-Ur-Rehman ; Khan S; Choudhury N
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062372
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework.
    Fadel MM; El-Ghamrawy SM; Ali-Eldin AMT; Hassan MK; El-Desoky AI
    PLoS One; 2022; 17(7):e0271436. PubMed ID: 35905101
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing.
    Bamasag O; Alsaeedi A; Munshi A; Alghazzawi D; Alshehri S; Jamjoom A
    PeerJ Comput Sci; 2022; 7():e814. PubMed ID: 35721670
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Detection and mitigation of DDoS attacks based on multi-dimensional characteristics in SDN.
    Wang K; Fu Y; Duan X; Liu T
    Sci Rep; 2024 Jul; 14(1):16421. PubMed ID: 39014041
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications.
    Mishra N; Pandya S; Patel C; Cholli N; Modi K; Shah P; Chopade M; Patel S; Kotecha K
    Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884075
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems.
    Oyucu S; Polat O; Türkoğlu M; Polat H; Aksöz A; Ağdaş MT
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38203015
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models.
    Al Abdulwahid A
    Comput Intell Neurosci; 2022; 2022():2037954. PubMed ID: 36479020
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Data Enhancement Algorithm for DDoS Attacks Using IoT.
    Lv H; Du Y; Zhou X; Ni W; Ma X
    Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687952
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base.
    Guo Q; Li M; Wang W; Liu Y
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433613
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Autopolicy: Automated Traffic Policing for Improved IoT Network Security.
    Foremski P; Nowak S; Fröhlich P; Hernández-Ramos JL; Baldini G
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32751739
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.