Статті в журналах з теми "ANDROID MALWARE CLASSIFICATION"
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Pachhala, Nagababu, Subbaiyan Jothilakshmi, and Bhanu Prakash Battula. "Android Malware Classification Using LSTM Model." Revue d'Intelligence Artificielle 36, no. 5 (December 23, 2022): 761–67. http://dx.doi.org/10.18280/ria.360514.
Повний текст джерелаParajuli, Srijana, and Subarna Shakya. "Malware Detection and Classification Using Latent Semantic Indexing." Journal of Advanced College of Engineering and Management 4 (December 31, 2018): 153–61. http://dx.doi.org/10.3126/jacem.v4i0.23205.
Повний текст джерелаAfifah, Nurul, and Deris Stiawan. "The Implementation of Deep Neural Networks Algorithm for Malware Classification." Computer Engineering and Applications Journal 8, no. 3 (September 24, 2019): 189–202. http://dx.doi.org/10.18495/comengapp.v8i3.294.
Повний текст джерелаJiang, Changnan, Kanglong Yin, Chunhe Xia, and Weidong Huang. "FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification." Entropy 24, no. 7 (July 1, 2022): 919. http://dx.doi.org/10.3390/e24070919.
Повний текст джерелаMas`ud, Mohd Zaki, Shahrin Sahib, ., Mohd Faizal Abdollah, Siti Rahayu Selamat, and Robiah Yusof. "Android Malware Detection System Classification." Research Journal of Information Technology 6, no. 4 (April 1, 2014): 325–41. http://dx.doi.org/10.3923/rjit.2014.325.341.
Повний текст джерелаNiu, Weina, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, and Ting Li. "OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning." Sensors 20, no. 13 (June 29, 2020): 3645. http://dx.doi.org/10.3390/s20133645.
Повний текст джерелаKumar, Ajit, Vinti Agarwal, Shishir Kumar Shandilya, Andrii Shalaginov, Saket Upadhyay, and Bhawna Yadav. "PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting." Future Internet 12, no. 4 (April 12, 2020): 66. http://dx.doi.org/10.3390/fi12040066.
Повний текст джерелаSingh, Jaiteg, Deepak Thakur, Farman Ali, Tanya Gera, and Kyung Sup Kwak. "Deep Feature Extraction and Classification of Android Malware Images." Sensors 20, no. 24 (December 8, 2020): 7013. http://dx.doi.org/10.3390/s20247013.
Повний текст джерелаGupta, Charu, Rakesh Kumar Singh, Simran Kaur Bhatia, and Amar Kumar Mohapatra. "DecaDroid Classification and Characterization of Malicious Behaviour in Android Applications." International Journal of Information Security and Privacy 14, no. 4 (October 2020): 57–73. http://dx.doi.org/10.4018/ijisp.2020100104.
Повний текст джерелаJiao, Jian, Qiyuan Liu, Xin Chen, and Hongsheng Cao. "Behavior Intention Derivation of Android Malware Using Ontology Inference." Journal of Electrical and Computer Engineering 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/9250297.
Повний текст джерелаAkintola, Abimbola G., Abdullateef O. Balogun, Luiz Fernando Capretz, Hammed A. Mojeed, Shuib Basri, Shakirat A. Salihu, Fatima E. Usman-Hamza, Peter O. Sadiku, Ghaniyyat B. Balogun, and Zubair O. Alanamu. "Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection." Applied Sciences 12, no. 9 (May 6, 2022): 4664. http://dx.doi.org/10.3390/app12094664.
Повний текст джерелаTaher, Fatma, Omar AlFandi, Mousa Al-kfairy, Hussam Al Hamadi, and Saed Alrabaee. "DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection." Applied Sciences 13, no. 13 (June 29, 2023): 7720. http://dx.doi.org/10.3390/app13137720.
Повний текст джерелаAlswaina, Fahad, and Khaled Elleithy. "Android Malware Family Classification and Analysis: Current Status and Future Directions." Electronics 9, no. 6 (June 5, 2020): 942. http://dx.doi.org/10.3390/electronics9060942.
Повний текст джерелаAbuthawabeh, Mohammad, and Khaled Mahmoud. "Enhanced Android Malware Detection and Family Classification, using Conversation-level Network Traffic Features." International Arab Journal of Information Technology 17, no. 4A (July 31, 2020): 607–14. http://dx.doi.org/10.34028/iajit/17/4a/4.
Повний текст джерелаTaha, Altyeb, Omar Barukab, and Sharaf Malebary. "Fuzzy Integral-Based Multi-Classifiers Ensemble for Android Malware Classification." Mathematics 9, no. 22 (November 12, 2021): 2880. http://dx.doi.org/10.3390/math9222880.
Повний текст джерелаTaha, Altyeb, and Omar Barukab. "Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms." Sustainability 14, no. 21 (November 3, 2022): 14406. http://dx.doi.org/10.3390/su142114406.
Повний текст джерелаMassarelli, Luca, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci, and Roberto Baldoni. "AndroDFA: Android Malware Classification Based on Resource Consumption." Information 11, no. 6 (June 16, 2020): 326. http://dx.doi.org/10.3390/info11060326.
Повний текст джерелаMilosevic, Nikola, Ali Dehghantanha, and Kim-Kwang Raymond Choo. "Machine learning aided Android malware classification." Computers & Electrical Engineering 61 (July 2017): 266–74. http://dx.doi.org/10.1016/j.compeleceng.2017.02.013.
Повний текст джерелаLiu, Pengfei, Weiping Wang, Shigeng Zhang, and Hong Song. "ImageDroid: Using Deep Learning to Efficiently Detect Android Malware and Automatically Mark Malicious Features." Security and Communication Networks 2023 (April 7, 2023): 1–11. http://dx.doi.org/10.1155/2023/5393890.
Повний текст джерелаMalik, Sapna, and Kiran Khatter. "Malicious Application Detection and Classification System for Android Mobiles." International Journal of Ambient Computing and Intelligence 9, no. 1 (January 2018): 95–114. http://dx.doi.org/10.4018/ijaci.2018010106.
Повний текст джерелаRashed, Mohammed, and Guillermo Suarez-Tangil. "An Analysis of Android Malware Classification Services." Sensors 21, no. 16 (August 23, 2021): 5671. http://dx.doi.org/10.3390/s21165671.
Повний текст джерелаBagui, Sikha, and Daniel Benson. "Android Adware Detection Using Machine Learning." International Journal of Cyber Research and Education 3, no. 2 (July 2021): 1–19. http://dx.doi.org/10.4018/ijcre.2021070101.
Повний текст джерелаElsersy, Wael F., Ali Feizollah, and Nor Badrul Anuar. "The rise of obfuscated Android malware and impacts on detection methods." PeerJ Computer Science 8 (March 9, 2022): e907. http://dx.doi.org/10.7717/peerj-cs.907.
Повний текст джерелаAlbakri, Ashwag, Fatimah Alhayan, Nazik Alturki, Saahirabanu Ahamed, and Shermin Shamsudheen. "Metaheuristics with Deep Learning Model for Cybersecurity and Android Malware Detection and Classification." Applied Sciences 13, no. 4 (February 8, 2023): 2172. http://dx.doi.org/10.3390/app13042172.
Повний текст джерелаEt.al, Shafiu Musa. "HEFESTDROID: Highly Effective Features for Android Malware Detection and Analysis." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 4676–82. http://dx.doi.org/10.17762/turcomat.v12i3.1884.
Повний текст джерелаNaeem, Hamad, Amjad Alsirhani, Mohammed Mujib Alshahrani, and Abdullah Alomari. "Android Device Malware Classification Framework Using Multistep Image Feature Extraction and Multihead Deep Neural Ensemble." Traitement du Signal 39, no. 3 (June 30, 2022): 991–1003. http://dx.doi.org/10.18280/ts.390326.
Повний текст джерелаSaputra, Hendra, Setio Basuki, and Mahar Faiqurahman. "Implementasi teknik seleksi fitur pada klasifikasi malware Android menggunakan support vector machine (SVM)." Repositor 1, no. 1 (October 8, 2019): 1. http://dx.doi.org/10.22219/repositor.v1i1.1.
Повний текст джерелаAL-Akhras, Mousa, Abdulrhman ALMohawes, Hani Omar, amer Atawneh, and Samah Alhazmi. "Android malicious attacks detection models using machine learning techniques based on permissions." International Journal of Data and Network Science 7, no. 4 (2023): 2053–76. http://dx.doi.org/10.5267/j.ijdns.2023.8.019.
Повний текст джерелаRen, Bingfei, Chuanchang Liu, Bo Cheng, Jie Guo, and Junliang Chen. "MobiSentry: Towards Easy and Effective Detection of Android Malware on Smartphones." Mobile Information Systems 2018 (November 21, 2018): 1–14. http://dx.doi.org/10.1155/2018/4317501.
Повний текст джерелаKhatter, Kiran, and Sapna Malik. "Ranking and Risk Factor Scheme for Malicious applications detection and Classifications." International Journal of Information System Modeling and Design 9, no. 3 (July 2018): 67–84. http://dx.doi.org/10.4018/ijismd.2018070104.
Повний текст джерелаChen, Tieming, Qingyu Mao, Yimin Yang, Mingqi Lv, and Jianming Zhu. "TinyDroid: A Lightweight and Efficient Model for Android Malware Detection and Classification." Mobile Information Systems 2018 (October 17, 2018): 1–9. http://dx.doi.org/10.1155/2018/4157156.
Повний текст джерелаWu, Bozhi, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, and Michael R. Lyu. "Why an Android App Is Classified as Malware." ACM Transactions on Software Engineering and Methodology 30, no. 2 (March 2021): 1–29. http://dx.doi.org/10.1145/3423096.
Повний текст джерелаAcharya, Saket, Umashankar Rawat, and Roheet Bhatnagar. "A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis." Security and Communication Networks 2022 (June 29, 2022): 1–34. http://dx.doi.org/10.1155/2022/7775917.
Повний текст джерелаAcharya, Saket, Umashankar Rawat, and Roheet Bhatnagar. "A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling." Applied Computational Intelligence and Soft Computing 2022 (June 13, 2022): 1–22. http://dx.doi.org/10.1155/2022/4119500.
Повний текст джерелаFAN, Wenhao, Dong LIU, Fan WU, Bihua TANG, and Yuan'an LIU. "Android Malware Detection Based on Functional Classification." IEICE Transactions on Information and Systems E105.D, no. 3 (March 1, 2022): 656–66. http://dx.doi.org/10.1587/transinf.2021edp7133.
Повний текст джерелаSALAMATU, ALIYU SULAIMAN, SURAJUDEEN ADEBAYO OLAWALE, IDRIS ISMAILA, and A. BASHIR SULAIMON. "ANDROID MALWARE CLASSIFICATION USING WHALE OPTIMIZATION ALGORITHM." i-manager's Journal on Mobile Applications and Technologies 5, no. 2 (2018): 37. http://dx.doi.org/10.26634/jmt.5.2.15631.
Повний текст джерелаSwetha, K., and K. V.D.Kiran. "Survey on Mobile Malware Analysis and Detection." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 279. http://dx.doi.org/10.14419/ijet.v7i2.32.15584.
Повний текст джерелаGómez, Alfonso, and Antonio Muñoz. "Deep Learning-Based Attack Detection and Classification in Android Devices." Electronics 12, no. 15 (July 28, 2023): 3253. http://dx.doi.org/10.3390/electronics12153253.
Повний текст джерелаBhattacharya, Abhishek, and Radha Tamal Goswami. "Community Based Feature Selection Method for Detection of Android Malware." Journal of Global Information Management 26, no. 3 (July 2018): 54–77. http://dx.doi.org/10.4018/jgim.2018070105.
Повний текст джерелаChen, Hui, Zhengqiang Li, Qingshan Jiang, Abdur Rasool, and Lifei Chen. "A Hierarchical Approach for Android Malware Detection Using Authorization-Sensitive Features." Electronics 10, no. 4 (February 10, 2021): 432. http://dx.doi.org/10.3390/electronics10040432.
Повний текст джерелаWang, Xin, Dafang Zhang, Xin Su, and Wenjia Li. "Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion." Security and Communication Networks 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/6451260.
Повний текст джерелаKim, Minki, Daehan Kim, Changha Hwang, Seongje Cho, Sangchul Han, and Minkyu Park. "Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions." Applied Sciences 11, no. 21 (November 1, 2021): 10244. http://dx.doi.org/10.3390/app112110244.
Повний текст джерелаMenaouer, Brahami, Abdallah El Hadj Mohamed Islem, and Matta Nada. "Android Malware Detection Approach Using Stacked AutoEncoder and Convolutional Neural Networks." International Journal of Intelligent Information Technologies 19, no. 1 (September 8, 2023): 1–22. http://dx.doi.org/10.4018/ijiit.329956.
Повний текст джерелаYusof, Muhammad, Madihah Mohd Saudi, and Farida Ridzuan. "Mobile Botnet Classification by using Hybrid Analysis." International Journal of Engineering & Technology 7, no. 4.15 (October 7, 2018): 103. http://dx.doi.org/10.14419/ijet.v7i4.15.21429.
Повний текст джерелаT, Sai Tejeshwar Reddy. "An Enhanced Novel GA-based Malware Detection in End Systems Using Structured and Unstructured Data by Comparing Support Vector Machine and Neural Network." Revista Gestão Inovação e Tecnologias 11, no. 2 (June 5, 2021): 1514–25. http://dx.doi.org/10.47059/revistageintec.v11i2.1777.
Повний текст джерелаGuendouz, Mohamed, and Abdelmalek Amine. "A New Feature Selection Method Based on Dragonfly Algorithm for Android Malware Detection Using Machine Learning Techniques." International Journal of Information Security and Privacy 17, no. 1 (March 10, 2023): 1–18. http://dx.doi.org/10.4018/ijisp.319018.
Повний текст джерелаLin, Ying-Dar, and Chun-Ying Huang. "Three-Phase Detection and Classification for Android Malware Based on Common Behaviors." Journal of Communications Software and Systems 12, no. 3 (September 21, 2016): 157. http://dx.doi.org/10.24138/jcomss.v12i3.80.
Повний текст джерелаDing, Chao, Nurbol Luktarhan, Bei Lu, and Wenhui Zhang. "A Hybrid Analysis-Based Approach to Android Malware Family Classification." Entropy 23, no. 8 (August 3, 2021): 1009. http://dx.doi.org/10.3390/e23081009.
Повний текст джерелаLu, Tianliang, Yanhui Du, Li Ouyang, Qiuyu Chen, and Xirui Wang. "Android Malware Detection Based on a Hybrid Deep Learning Model." Security and Communication Networks 2020 (August 28, 2020): 1–11. http://dx.doi.org/10.1155/2020/8863617.
Повний текст джерелаThakur, Deepak. "Classification of Android Malware using its Image Sections." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 4 (August 25, 2020): 6151–55. http://dx.doi.org/10.30534/ijatcse/2020/288942020.
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