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 *

150 related articles for article (PubMed ID: 36376412)

  • 1. AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems.
    Rafiq H; Aslam N; Aleem M; Issac B; Randhawa RH
    Sci Rep; 2022 Nov; 12(1):19534. PubMed ID: 36376412
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices.
    Alkahtani H; Aldhyani THH
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336437
    [TBL] [Abstract][Full Text] [Related]  

  • 3. AMDDLmodel: Android smartphones malware detection using deep learning model.
    Aamir M; Iqbal MW; Nosheen M; Ashraf MU; Shaf A; Almarhabi KA; Alghamdi AM; Bahaddad AA
    PLoS One; 2024; 19(1):e0296722. PubMed ID: 38241330
    [TBL] [Abstract][Full Text] [Related]  

  • 4. FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification.
    Jiang C; Yin K; Xia C; Huang W
    Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885142
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Beyond the virus: a first look at coronavirus-themed Android malware.
    Wang L; He R; Wang H; Xia P; Li Y; Wu L; Zhou Y; Luo X; Sui Y; Guo Y; Xu G
    Empir Softw Eng; 2021; 26(4):82. PubMed ID: 34149303
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A static analysis approach for Android permission-based malware detection systems.
    Mohamad Arif J; Ab Razak MF; Awang S; Tuan Mat SR; Ismail NSN; Firdaus A
    PLoS One; 2021; 16(9):e0257968. PubMed ID: 34591930
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Modified ResNeXt for Android Malware Identification and Classification.
    Albahar MA; ElSayed MS; Jurcut A
    Comput Intell Neurosci; 2022; 2022():8634784. PubMed ID: 35634062
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Analysis of Android Malware Classification Services.
    Rashed M; Suarez-Tangil G
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451112
    [TBL] [Abstract][Full Text] [Related]  

  • 9. OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning.
    Niu W; Cao R; Zhang X; Ding K; Zhang K; Li T
    Sensors (Basel); 2020 Jun; 20(13):. PubMed ID: 32610606
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques: FSDroid.
    Mahindru A; Sangal AL
    Multimed Tools Appl; 2021; 80(9):13271-13323. PubMed ID: 33462535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A detection method for android application security based on TF-IDF and machine learning.
    Yuan H; Tang Y; Sun W; Liu L
    PLoS One; 2020; 15(9):e0238694. PubMed ID: 32915836
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers.
    Atacak İ; Kılıç K; Doğru İA
    PeerJ Comput Sci; 2022; 8():e1092. PubMed ID: 36262124
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization.
    Ullah F; Srivastava G; Ullah S
    J Cloud Comput (Heidelb); 2022; 11(1):75. PubMed ID: 36345308
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Feature Extraction and Classification of Android Malware Images.
    Singh J; Thakur D; Ali F; Gera T; Kwak KS
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33302430
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Android Malware Detection Using User Feedback.
    Duque J; Mendes G; Nunes L; de Almeida A; Serrão C
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36081021
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism.
    Aurangzeb S; Aleem M
    Sci Rep; 2023 Feb; 13(1):3093. PubMed ID: 36813846
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Android malware analysis in a nutshell.
    Almomani I; Ahmed M; El-Shafai W
    PLoS One; 2022; 17(7):e0270647. PubMed ID: 35788205
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Convolution neural network with batch normalization and inception-residual modules for Android malware classification.
    Liu T; Zhang H; Long H; Shi J; Yao Y
    Sci Rep; 2022 Aug; 12(1):13996. PubMed ID: 35978023
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feature Subset Selection for Malware Detection in Smart IoT Platforms.
    Abawajy J; Darem A; Alhashmi AA
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33669191
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cyber Code Intelligence for Android Malware Detection.
    Qiu J; Han QL; Luo W; Pan L; Nepal S; Zhang J; Xiang Y
    IEEE Trans Cybern; 2023 Jan; 53(1):617-627. PubMed ID: 35476561
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.