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 *

118 related articles for article (PubMed ID: 39204846)

  • 21. A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT.
    Morales-Molina CD; Hernandez-Suarez A; Sanchez-Perez G; Toscano-Medina LK; Perez-Meana H; Olivares-Mercado J; Portillo-Portillo J; Sanchez V; Garcia-Villalba LJ
    Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34063577
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Framework for Malicious Traffic Detection in IoT Healthcare Environment.
    Hussain F; Abbas SG; Shah GA; Pires IM; Fayyaz UU; Shahzad F; Garcia NM; Zdravevski E
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33925813
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Anomaly detection in IoT-based healthcare: machine learning for enhanced security.
    Khan MM; Alkhathami M
    Sci Rep; 2024 Mar; 14(1):5872. PubMed ID: 38467709
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things.
    Thamilarasu G; Chawla S
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035611
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Detection of Malicious Cloud Bandwidth Consumption in Cloud Computing Using Machine Learning Techniques.
    Veeraiah D; Mohanty R; Kundu S; Dhabliya D; Tiwari M; Jamal SS; Halifa A
    Comput Intell Neurosci; 2022; 2022():4003403. PubMed ID: 36105640
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning.
    Zahra F; Jhanjhi NZ; Brohi SN; Khan NA; Masud M; AlZain MA
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146111
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Adversarial Examples-Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices.
    Rahman A; Hossain MS; Alrajeh NA; Alsolami F
    IEEE Internet Things J; 2021 Jun; 8(12):9603-9610. PubMed ID: 36811011
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance.
    Sahu SK; Mazumdar K
    Front Artif Intell; 2024; 7():1397480. PubMed ID: 38845684
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Physical-Layer Security Cooperative Framework for Mitigating Interference and Eavesdropping Attacks in Internet of Things Environments.
    Farraj A; Hammad E
    Sensors (Basel); 2024 Aug; 24(16):. PubMed ID: 39204866
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques.
    Rashid MM; Kamruzzaman J; Hassan MM; Imam T; Gordon S
    Int J Environ Res Public Health; 2020 Dec; 17(24):. PubMed ID: 33327468
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction.
    Istiaque Ahmed K; Tahir M; Hadi Habaebi M; Lun Lau S; Ahad A
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372360
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Code Injection Attacks in Wireless-Based Internet of Things (IoT): A Comprehensive Review and Practical Implementations.
    Noman HA; Abu-Sharkh OMF
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447915
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks.
    Abu Al-Haija Q
    Front Big Data; 2021; 4():782902. PubMed ID: 35098112
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms.
    Altulaihan E; Almaiah MA; Aljughaiman A
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38276404
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization.
    Alterazi HA; Kshirsagar PR; Manoharan H; Selvarajan S; Alhebaishi N; Srivastava G; Lin JC
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015878
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Using machine learning algorithms to enhance IoT system security.
    El-Sofany H; El-Seoud SA; Karam OH; Bouallegue B
    Sci Rep; 2024 May; 14(1):12077. PubMed ID: 38802482
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms.
    Jamil F; Kahng HK; Kim S; Kim DH
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33652773
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning.
    Mengistu TM; Kim T; Lin JW
    Sensors (Basel); 2024 Feb; 24(3):. PubMed ID: 38339685
    [TBL] [Abstract][Full Text] [Related]  

  • 39. CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment.
    Neto ECP; Dadkhah S; Ferreira R; Zohourian A; Lu R; Ghorbani AA
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447792
    [TBL] [Abstract][Full Text] [Related]  

  • 40. An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection.
    Al-Sarem M; Saeed F; Alkhammash EH; Alghamdi NS
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009725
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.