Android Malware Category and Family Detection and Identification using Machine Learning

doi:doi:10.57702/8n3pify8

Android Malware Category and Family Detection and Identification using Machine Learning

Android malware is one of the most dangerous threats on the internet, and its prevalence has increased dramatically in recent years. Experts in cybersecurity face an open problem. There are a variety of machine learning-based approaches for detecting and classifying Android malware. This article offers a Machine Learning Model that uses feature selection and a Machine Learning Classifier to successfully perform malware classification and characterization techniques.

BibTex:

@dataset{Ahmed_Hashem_El_Fiky_and_Ayman_El_Shenawy_and_Mohamed_Ashraf_Madkour_2024,
    abstract = {Android malware is one of the most dangerous threats on the internet, and its prevalence has increased dramatically in recent years. Experts in cybersecurity face an open problem. There are a variety of machine learning-based approaches for detecting and classifying Android malware. This article offers a Machine Learning Model that uses feature selection and a Machine Learning Classifier to successfully perform malware classification and characterization techniques.},
    author = {Ahmed Hashem El Fiky and Ayman El Shenawy and Mohamed Ashraf Madkour},
    doi = {10.57702/8n3pify8},
    institution = {No Organization},
    keyword = {'Android Malware', 'Machine Learning', 'Malware Classification', 'Malware Detection'},
    month = {dec},
    publisher = {TIB},
    title = {Android Malware Category and Family Detection and Identification using Machine Learning},
    url = {https://service.tib.eu/ldmservice/dataset/android-malware-category-and-family-detection-and-identification-using-machine-learning},
    year = {2024}
}