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 *

215 related articles for article (PubMed ID: 35068996)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. An Experimental Detection of Distributed Denial of Service Attack in CDX 3 Platform Based on Snort.
    Chen CL; Lai JL
    Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37447987
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Boğaziçi University distributed denial of service dataset.
    Erhan D; Anarım E
    Data Brief; 2020 Oct; 32():106187. PubMed ID: 32904236
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RAPT: A Robust Attack Path Tracing Algorithm to Mitigate SYN-Flood DDoS Cyberattacks.
    AlArnaout Z; Mostafa N; Alabed S; Aly WHF; Shdefat A
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616700
    [TBL] [Abstract][Full Text] [Related]  

  • 10. VMFCVD: An Optimized Framework to Combat Volumetric DDoS Attacks using Machine Learning.
    Prasad A; Chandra S
    Arab J Sci Eng; 2022; 47(8):9965-9983. PubMed ID: 35096507
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Deep learning approaches for detecting DDoS attacks: a systematic review.
    Mittal M; Kumar K; Behal S
    Soft comput; 2022 Jan; ():1-37. PubMed ID: 35103047
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MFFLR-DDoS: An encrypted LR-DDoS attack detection method based on multi-granularity feature fusions in SDN.
    Wang J; Wang L; Wang R
    Math Biosci Eng; 2024 Feb; 21(3):4187-4209. PubMed ID: 38549324
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Novel Machine Learning Approach for DDoS Cloud Detection: Bayesian-Based CNN and Data Fusion Enhancements.
    AlSaleh I; Al-Samawi A; Nissirat L
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38474952
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey.
    Shah Z; Ullah I; Li H; Levula A; Khurshid K
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161838
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.