Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

Subjects: “…random forest;weighted vote;malware;classification detection…”
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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

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Method of anti-confusion texture feature descriptor for malware images by Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI

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MALVADA: A framework for generating datasets of malware execution traces by Razvan Raducu, Alain Villagrasa-Labrador, Ricardo J. Rodríguez, Pedro Álvarez

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Research on lightweight malware classification method based on image domain by SUN Jingzhang, CHENG Yinan, ZOU Binghui, QIAO Tonghua, FU Sizheng, ZHANG Qi, CAO Chunjie

Subjects: “…malware classification…”
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Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning by Yulong Ji, Kunjin Zou, Bin Zou

Subjects: “…Malware classification…”
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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

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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

Subjects: “…malware classification…”
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Enhancing Malware Detection via RGB Assembly Visualization and Hybrid Deep Learning Models by Esra Eroğlu Demirkan, Murat Aydos

Subjects: “…image-based malware classification…”
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Efficient Malware Classification using Transfer Learning and Stacked Ensemble Techniques by Krishna Kumar, Hardwari Lal Mandoria, Rajeev Singh

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An Explainable Hybrid CNN–Transformer Architecture for Visual Malware Classification by Mohammed Alshomrani, Aiiad Albeshri, Abdulaziz A. Alsulami, Badraddin Alturki

Subjects: “…malware classification…”
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LDAM: A lightweight dual attention module for optimizing automotive malware classification by Jiahui Chen, Mingrui Wu, Huiwu Huang

Subjects: “…Malware classification…”
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Interval Valued Neutrosophic Set with Machine Learning Model Dynamic Malware Detection in Digital Security by Mohanad Mousa Janat, Ahmed A El-Douh, Ahmed Abdelhafeez, Hanadi Ahmad Simmak

Subjects: “…malware classification and detection…”
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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

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MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention by Ruisheng Li, Qilong Zhang, Huimin Shen

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Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection by Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy, Prithviraj Mohanty

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Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges by Harikha Manthena, Shaghayegh Shajarian, Jeffrey C. Kimmell, Mahmoud Abdelsalam, Sajad Khorsandroo, Maanak Gupta

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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

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Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

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A Deep Learning-Based Ensemble Framework for Robust Android Malware Detection by Sainag Nethala, Pronoy Chopra, Khaja Kamaluddin, Shahid Alam, Soltan Alharbi, Mohammad Alsaffar

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