Artículos de revistas sobre el tema "ANDROID MALWARE CLASSIFICATION"
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Pachhala, Nagababu, Subbaiyan Jothilakshmi y Bhanu Prakash Battula. "Android Malware Classification Using LSTM Model". Revue d'Intelligence Artificielle 36, n.º 5 (23 de diciembre de 2022): 761–67. http://dx.doi.org/10.18280/ria.360514.
Texto completoParajuli, Srijana y Subarna Shakya. "Malware Detection and Classification Using Latent Semantic Indexing". Journal of Advanced College of Engineering and Management 4 (31 de diciembre de 2018): 153–61. http://dx.doi.org/10.3126/jacem.v4i0.23205.
Texto completoAfifah, Nurul y Deris Stiawan. "The Implementation of Deep Neural Networks Algorithm for Malware Classification". Computer Engineering and Applications Journal 8, n.º 3 (24 de septiembre de 2019): 189–202. http://dx.doi.org/10.18495/comengapp.v8i3.294.
Texto completoJiang, Changnan, Kanglong Yin, Chunhe Xia y Weidong Huang. "FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification". Entropy 24, n.º 7 (1 de julio de 2022): 919. http://dx.doi.org/10.3390/e24070919.
Texto completoMas`ud, Mohd Zaki, Shahrin Sahib, ., Mohd Faizal Abdollah, Siti Rahayu Selamat y Robiah Yusof. "Android Malware Detection System Classification". Research Journal of Information Technology 6, n.º 4 (1 de abril de 2014): 325–41. http://dx.doi.org/10.3923/rjit.2014.325.341.
Texto completoNiu, Weina, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang y Ting Li. "OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning". Sensors 20, n.º 13 (29 de junio de 2020): 3645. http://dx.doi.org/10.3390/s20133645.
Texto completoKumar, Ajit, Vinti Agarwal, Shishir Kumar Shandilya, Andrii Shalaginov, Saket Upadhyay y Bhawna Yadav. "PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting". Future Internet 12, n.º 4 (12 de abril de 2020): 66. http://dx.doi.org/10.3390/fi12040066.
Texto completoSingh, Jaiteg, Deepak Thakur, Farman Ali, Tanya Gera y Kyung Sup Kwak. "Deep Feature Extraction and Classification of Android Malware Images". Sensors 20, n.º 24 (8 de diciembre de 2020): 7013. http://dx.doi.org/10.3390/s20247013.
Texto completoGupta, Charu, Rakesh Kumar Singh, Simran Kaur Bhatia y Amar Kumar Mohapatra. "DecaDroid Classification and Characterization of Malicious Behaviour in Android Applications". International Journal of Information Security and Privacy 14, n.º 4 (octubre de 2020): 57–73. http://dx.doi.org/10.4018/ijisp.2020100104.
Texto completoJiao, Jian, Qiyuan Liu, Xin Chen y 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.
Texto completoAkintola, 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 y Zubair O. Alanamu. "Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection". Applied Sciences 12, n.º 9 (6 de mayo de 2022): 4664. http://dx.doi.org/10.3390/app12094664.
Texto completoTaher, Fatma, Omar AlFandi, Mousa Al-kfairy, Hussam Al Hamadi y Saed Alrabaee. "DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection". Applied Sciences 13, n.º 13 (29 de junio de 2023): 7720. http://dx.doi.org/10.3390/app13137720.
Texto completoAlswaina, Fahad y Khaled Elleithy. "Android Malware Family Classification and Analysis: Current Status and Future Directions". Electronics 9, n.º 6 (5 de junio de 2020): 942. http://dx.doi.org/10.3390/electronics9060942.
Texto completoAbuthawabeh, Mohammad y Khaled Mahmoud. "Enhanced Android Malware Detection and Family Classification, using Conversation-level Network Traffic Features". International Arab Journal of Information Technology 17, n.º 4A (31 de julio de 2020): 607–14. http://dx.doi.org/10.34028/iajit/17/4a/4.
Texto completoTaha, Altyeb, Omar Barukab y Sharaf Malebary. "Fuzzy Integral-Based Multi-Classifiers Ensemble for Android Malware Classification". Mathematics 9, n.º 22 (12 de noviembre de 2021): 2880. http://dx.doi.org/10.3390/math9222880.
Texto completoTaha, Altyeb y Omar Barukab. "Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms". Sustainability 14, n.º 21 (3 de noviembre de 2022): 14406. http://dx.doi.org/10.3390/su142114406.
Texto completoMassarelli, Luca, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci y Roberto Baldoni. "AndroDFA: Android Malware Classification Based on Resource Consumption". Information 11, n.º 6 (16 de junio de 2020): 326. http://dx.doi.org/10.3390/info11060326.
Texto completoMilosevic, Nikola, Ali Dehghantanha y Kim-Kwang Raymond Choo. "Machine learning aided Android malware classification". Computers & Electrical Engineering 61 (julio de 2017): 266–74. http://dx.doi.org/10.1016/j.compeleceng.2017.02.013.
Texto completoLiu, Pengfei, Weiping Wang, Shigeng Zhang y Hong Song. "ImageDroid: Using Deep Learning to Efficiently Detect Android Malware and Automatically Mark Malicious Features". Security and Communication Networks 2023 (7 de abril de 2023): 1–11. http://dx.doi.org/10.1155/2023/5393890.
Texto completoMalik, Sapna y Kiran Khatter. "Malicious Application Detection and Classification System for Android Mobiles". International Journal of Ambient Computing and Intelligence 9, n.º 1 (enero de 2018): 95–114. http://dx.doi.org/10.4018/ijaci.2018010106.
Texto completoRashed, Mohammed y Guillermo Suarez-Tangil. "An Analysis of Android Malware Classification Services". Sensors 21, n.º 16 (23 de agosto de 2021): 5671. http://dx.doi.org/10.3390/s21165671.
Texto completoBagui, Sikha y Daniel Benson. "Android Adware Detection Using Machine Learning". International Journal of Cyber Research and Education 3, n.º 2 (julio de 2021): 1–19. http://dx.doi.org/10.4018/ijcre.2021070101.
Texto completoElsersy, Wael F., Ali Feizollah y Nor Badrul Anuar. "The rise of obfuscated Android malware and impacts on detection methods". PeerJ Computer Science 8 (9 de marzo de 2022): e907. http://dx.doi.org/10.7717/peerj-cs.907.
Texto completoAlbakri, Ashwag, Fatimah Alhayan, Nazik Alturki, Saahirabanu Ahamed y Shermin Shamsudheen. "Metaheuristics with Deep Learning Model for Cybersecurity and Android Malware Detection and Classification". Applied Sciences 13, n.º 4 (8 de febrero de 2023): 2172. http://dx.doi.org/10.3390/app13042172.
Texto completoEt.al, Shafiu Musa. "HEFESTDROID: Highly Effective Features for Android Malware Detection and Analysis". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 3 (10 de abril de 2021): 4676–82. http://dx.doi.org/10.17762/turcomat.v12i3.1884.
Texto completoNaeem, Hamad, Amjad Alsirhani, Mohammed Mujib Alshahrani y Abdullah Alomari. "Android Device Malware Classification Framework Using Multistep Image Feature Extraction and Multihead Deep Neural Ensemble". Traitement du Signal 39, n.º 3 (30 de junio de 2022): 991–1003. http://dx.doi.org/10.18280/ts.390326.
Texto completoSaputra, Hendra, Setio Basuki y Mahar Faiqurahman. "Implementasi teknik seleksi fitur pada klasifikasi malware Android menggunakan support vector machine (SVM)". Repositor 1, n.º 1 (8 de octubre de 2019): 1. http://dx.doi.org/10.22219/repositor.v1i1.1.
Texto completoAL-Akhras, Mousa, Abdulrhman ALMohawes, Hani Omar, amer Atawneh y Samah Alhazmi. "Android malicious attacks detection models using machine learning techniques based on permissions". International Journal of Data and Network Science 7, n.º 4 (2023): 2053–76. http://dx.doi.org/10.5267/j.ijdns.2023.8.019.
Texto completoRen, Bingfei, Chuanchang Liu, Bo Cheng, Jie Guo y Junliang Chen. "MobiSentry: Towards Easy and Effective Detection of Android Malware on Smartphones". Mobile Information Systems 2018 (21 de noviembre de 2018): 1–14. http://dx.doi.org/10.1155/2018/4317501.
Texto completoKhatter, Kiran y Sapna Malik. "Ranking and Risk Factor Scheme for Malicious applications detection and Classifications". International Journal of Information System Modeling and Design 9, n.º 3 (julio de 2018): 67–84. http://dx.doi.org/10.4018/ijismd.2018070104.
Texto completoChen, Tieming, Qingyu Mao, Yimin Yang, Mingqi Lv y Jianming Zhu. "TinyDroid: A Lightweight and Efficient Model for Android Malware Detection and Classification". Mobile Information Systems 2018 (17 de octubre de 2018): 1–9. http://dx.doi.org/10.1155/2018/4157156.
Texto completoWu, Bozhi, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen y Michael R. Lyu. "Why an Android App Is Classified as Malware". ACM Transactions on Software Engineering and Methodology 30, n.º 2 (marzo de 2021): 1–29. http://dx.doi.org/10.1145/3423096.
Texto completoAcharya, Saket, Umashankar Rawat y Roheet Bhatnagar. "A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis". Security and Communication Networks 2022 (29 de junio de 2022): 1–34. http://dx.doi.org/10.1155/2022/7775917.
Texto completoAcharya, Saket, Umashankar Rawat y 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 (13 de junio de 2022): 1–22. http://dx.doi.org/10.1155/2022/4119500.
Texto completoFAN, Wenhao, Dong LIU, Fan WU, Bihua TANG y Yuan'an LIU. "Android Malware Detection Based on Functional Classification". IEICE Transactions on Information and Systems E105.D, n.º 3 (1 de marzo de 2022): 656–66. http://dx.doi.org/10.1587/transinf.2021edp7133.
Texto completoSALAMATU, ALIYU SULAIMAN, SURAJUDEEN ADEBAYO OLAWALE, IDRIS ISMAILA y A. BASHIR SULAIMON. "ANDROID MALWARE CLASSIFICATION USING WHALE OPTIMIZATION ALGORITHM". i-manager's Journal on Mobile Applications and Technologies 5, n.º 2 (2018): 37. http://dx.doi.org/10.26634/jmt.5.2.15631.
Texto completoSwetha, K. y K. V.D.Kiran. "Survey on Mobile Malware Analysis and Detection". International Journal of Engineering & Technology 7, n.º 2.32 (31 de mayo de 2018): 279. http://dx.doi.org/10.14419/ijet.v7i2.32.15584.
Texto completoGómez, Alfonso y Antonio Muñoz. "Deep Learning-Based Attack Detection and Classification in Android Devices". Electronics 12, n.º 15 (28 de julio de 2023): 3253. http://dx.doi.org/10.3390/electronics12153253.
Texto completoBhattacharya, Abhishek y Radha Tamal Goswami. "Community Based Feature Selection Method for Detection of Android Malware". Journal of Global Information Management 26, n.º 3 (julio de 2018): 54–77. http://dx.doi.org/10.4018/jgim.2018070105.
Texto completoChen, Hui, Zhengqiang Li, Qingshan Jiang, Abdur Rasool y Lifei Chen. "A Hierarchical Approach for Android Malware Detection Using Authorization-Sensitive Features". Electronics 10, n.º 4 (10 de febrero de 2021): 432. http://dx.doi.org/10.3390/electronics10040432.
Texto completoWang, Xin, Dafang Zhang, Xin Su y 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.
Texto completoKim, Minki, Daehan Kim, Changha Hwang, Seongje Cho, Sangchul Han y Minkyu Park. "Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions". Applied Sciences 11, n.º 21 (1 de noviembre de 2021): 10244. http://dx.doi.org/10.3390/app112110244.
Texto completoMenaouer, Brahami, Abdallah El Hadj Mohamed Islem y Matta Nada. "Android Malware Detection Approach Using Stacked AutoEncoder and Convolutional Neural Networks". International Journal of Intelligent Information Technologies 19, n.º 1 (8 de septiembre de 2023): 1–22. http://dx.doi.org/10.4018/ijiit.329956.
Texto completoYusof, Muhammad, Madihah Mohd Saudi y Farida Ridzuan. "Mobile Botnet Classification by using Hybrid Analysis". International Journal of Engineering & Technology 7, n.º 4.15 (7 de octubre de 2018): 103. http://dx.doi.org/10.14419/ijet.v7i4.15.21429.
Texto completoT, 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, n.º 2 (5 de junio de 2021): 1514–25. http://dx.doi.org/10.47059/revistageintec.v11i2.1777.
Texto completoGuendouz, Mohamed y 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, n.º 1 (10 de marzo de 2023): 1–18. http://dx.doi.org/10.4018/ijisp.319018.
Texto completoLin, Ying-Dar y Chun-Ying Huang. "Three-Phase Detection and Classification for Android Malware Based on Common Behaviors". Journal of Communications Software and Systems 12, n.º 3 (21 de septiembre de 2016): 157. http://dx.doi.org/10.24138/jcomss.v12i3.80.
Texto completoDing, Chao, Nurbol Luktarhan, Bei Lu y Wenhui Zhang. "A Hybrid Analysis-Based Approach to Android Malware Family Classification". Entropy 23, n.º 8 (3 de agosto de 2021): 1009. http://dx.doi.org/10.3390/e23081009.
Texto completoLu, Tianliang, Yanhui Du, Li Ouyang, Qiuyu Chen y Xirui Wang. "Android Malware Detection Based on a Hybrid Deep Learning Model". Security and Communication Networks 2020 (28 de agosto de 2020): 1–11. http://dx.doi.org/10.1155/2020/8863617.
Texto completoThakur, Deepak. "Classification of Android Malware using its Image Sections". International Journal of Advanced Trends in Computer Science and Engineering 9, n.º 4 (25 de agosto de 2020): 6151–55. http://dx.doi.org/10.30534/ijatcse/2020/288942020.
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