179 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. 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]
12. 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]
13. 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]
14. 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]
15. 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]
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. 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]
18. 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]
19. 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]
20. 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]
[Next] [New Search]
