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 *

182 related articles for article (PubMed ID: 35494876)

  • 1. The rise of obfuscated Android malware and impacts on detection methods.
    Elsersy WF; Feizollah A; Anuar NB
    PeerJ Comput Sci; 2022; 8():e907. PubMed ID: 35494876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On the evaluation of android malware detectors against code-obfuscation techniques.
    Nawaz U; Aleem M; Lin JC
    PeerJ Comput Sci; 2022; 8():e1002. PubMed ID: 35875645
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. AndroDex: Android Dex Images of Obfuscated Malware.
    Aurangzeb S; Aleem M; Khan MT; Loukas G; Sakellari G
    Sci Data; 2024 Feb; 11(1):212. PubMed ID: 38365866
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection.
    Wang X; Zhang L; Zhao K; Ding X; Yu M
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408211
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques.
    Sadek I; Chong P; Rehman SU; Elovici Y; Binder A
    Data Brief; 2019 Oct; 26():104437. PubMed ID: 31528674
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM.
    Zhou S; Li H; Fu X; Han D; He X
    Sensors (Basel); 2024 Sep; 24(18):. PubMed ID: 39338719
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Randomized Prediction Games for Adversarial Machine Learning.
    Rota Bulo S; Biggio B; Pillai I; Pelillo M; Roli F
    IEEE Trans Neural Netw Learn Syst; 2017 Nov; 28(11):2466-2478. PubMed ID: 27514067
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation).
    Jusoh R; Firdaus A; Anwar S; Osman MZ; Darmawan MF; Ab Razak MF
    PeerJ Comput Sci; 2021; 7():e522. PubMed ID: 34825052
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm.
    Babbar H; Rani S; Sah DK; AlQahtani SA; Kashif Bashir A
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631793
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection.
    Mahindru A; Arora H; Kumar A; Gupta SK; Mahajan S; Kadry S; Kim J
    Sci Rep; 2024 May; 14(1):10724. PubMed ID: 38730228
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detecting and classifying method based on similarity matching of Android malware behavior with profile.
    Jang JW; Yun J; Mohaisen A; Woo J; Kim HK
    Springerplus; 2016; 5():273. PubMed ID: 27006882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.