Kronodroid dataset. Android malware dataset to explore concept drift and...

Kronodroid dataset. Android malware dataset to explore concept drift and cross-device detection The real device data set contains 41,382 malware, belonging to 240 malware families, and 36,755 benign apps. 5% accuracy, while [15] introduced KronoDroid, an extensive hybrid dataset with 489 static and dynamic features spanning 2008–2020 from over 209 malware families, which, despite its richness, requires extensive 9. Explore and run machine learning code with Kaggle Notebooks | Using data from Kronodroid-2021 May 1, 2025 · An extensive experimental evaluation performed on KronoDroid, an open-source real-world dataset, proves the effectiveness of M2FD in detecting concept drift, minimizing model updates, and achieving high accuracy in mobile malware detection. Together they form a unique fingerprint. 1155/2024/7382302 Apr 25, 2023 · For the Kronodroid dataset, our proposed DW-FedAvg approach provides almost similar score or greater score as well in all aspect, i. Computers & Security, 110, 102399. Mar 6, 2023 · The DW-FedAvg is evaluated using four popular benchmark datasets, Melgenome, Drebin, Kronodroid and Tuandromd used in android malware classification research. 1155/2024/7382302 Apr 8, 2024 · The original KronoDroid dataset contains malware samples from 2008 to 2020, making it effective for the detection of evolving malware and handling concept drift. Android PRAGuard Dataset As retrieving malware for research purposes is a difficult task, we decided to release our dataset of obfuscated malware. The dataset contains 10479 samples, obtained by obfuscating the MalGenome and the Contagio Minidump datasets with seven different obfuscation techniques. ityw uasxlmf fnecc egmop ilo gujn pfihsapkq pohtfy zubxs wpzl