Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications by Seyeon Park, Hojun Lee, Daeun Kim, Hyeun Jun Moon, Seong-Je Cho, Youngsup Hwang, Hyoil Han, Kyoungwon Suh

Subjects: “…Android malware…”
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Android malware detection method based on SimHash by Bo CHEN, Yong-tao PAN, Tie-ming CHEN

Subjects: “…Android;malware detection;SimHash;Voted Perceptron…”
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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

Subjects: “…Android malware detection…”
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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

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Hybrid Android Malware Detection and Classification Using Deep Neural Networks by Muhammad Umar Rashid, Shahnawaz Qureshi, Abdullah Abid, Saad Said Alqahtany, Ali Alqazzaz, Mahmood ul Hassan, Mana Saleh Al Reshan, Asadullah Shaikh

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Comparative Analysis of Feature Selection Methods with XGBoost for Malware Detection on the Drebin Dataset by Ines Aulia Latifah, Fauzi Adi Rafrastara, Jevan Bintoro, Wildanil Ghozi, Waleed Mahgoub Osman

Subjects: “…android malware detection…”
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PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad, Shalini Chandra, Mueen Uddin, Taher Al-Shehari, Nasser A. Alsadhan, Syed Sajid Ullah

Subjects: “…Android malware detection…”
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FLSH: A Framework Leveraging Similarity Hashing for Android Malware and Variant Detection by Hassan Jalil Hadi, Alina Khalid, Faisal Bashir Hussain, Naveed Ahmad, Mohammed Ali Alshara

Subjects: “…Android malware…”
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Active learning model used for android malware detection by Md․Habibullah Shakib, Md. Yeasin, Kh. Mustafizur Rahman, Fabiha Faiz Mahi, Md. Mahsin-Ul-Islam, Saddam Hossain

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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

Subjects: “…Android Malware…”
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GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System by Hong Huang, Weitao Huang, Feng Jiang

Subjects: “…Android malware detection…”
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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

Subjects: “…Android malware…”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

Subjects: “…Android malware detection…”
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An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion by Altyeb Taha, Ahmed Hamza Osman, Yakubu Suleiman Baguda

Subjects: “…android malware detection…”
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LLM-MalDetect: A Large Language Model-Based Method for Android Malware Detection by Ruirui Feng, Hui Chen, Shuo Wang, Md Monjurul Karim, Qingshan Jiang

Subjects: “…Android malware detection…”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

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Comparative Analysis of Machine Learning Models for Android Malware Detection by Adem Korkmaz, Selma Bulut

Subjects: “…android malware detection…”
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GEAAD: generating evasive adversarial attacks against android malware defense by Naveed Ahmad, Amjad Saleem Rana, Hassan Jalil Hadi, Faisal Bashir Hussain, Prasun Chakrabarti, Mohammed Ali Alshara, Tulika Chakrabarti

Subjects: “…Android malware detection…”
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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms by Umm-e-Hani Tayyab, Faiza Babar Khan, Asifullah Khan, Muhammad Hanif Durad, Farrukh Aslam Khan, Aftab Ali

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Android Malware Category and Family Identification Using Parallel Machine Learning by Ahmed Hashem El Fiky, Mohamed Ashraf Madkour, Ayman El Shenawy

Subjects: “…android malware…”
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