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 *

193 related articles for article (PubMed ID: 26543718)

  • 1. Accurate mobile malware detection and classification in the cloud.
    Wang X; Yang Y; Zeng Y
    Springerplus; 2015; 4():583. PubMed ID: 26543718
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A Hybrid Analysis-Based Approach to Android Malware Family Classification.
    Ding C; Luktarhan N; Lu B; Zhang W
    Entropy (Basel); 2021 Aug; 23(8):. PubMed ID: 34441149
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments.
    Landman T; Nissim N
    Neural Netw; 2021 Dec; 144():648-685. PubMed ID: 34656885
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review.
    Ehsan A; Catal C; Mishra A
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298282
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 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. 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]  

  • 16. 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]  

  • 17. SmartMal: a service-oriented behavioral malware detection framework for mobile devices.
    Wang C; Wu Z; Li X; Zhou X; Wang A; Hung PC
    ScientificWorldJournal; 2014; 2014():101986. PubMed ID: 25165729
    [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. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.