Oct 18, 2022 · Since permissions are defined using strings, these strings are used in malware detection. By leveraging the defined permissions, apps are ...

SIGPID, a malware detection system based on permission analysis to cope with the rapid increase in the number of Android malware, applies 3-level pruning by ...

Then it utilizes machine-learning-based classification methods to classify different families of malware and benign apps. This project identifies dangerous ...

The proposed model showed a great balance between detecting malware and benign applications. The methodology also shows promise as a low-cost alternative to ...

The system uses a multi-level based methodology; we first extract and identify the significant features such as permissions, smali sizes, and permission rates ...

We propose multi-level of pruning procedures to identify the most significant permission instead of extracting all permissions. The propose system utilizes ...

SigPID: Significant permission identification for. Machine-Learning-Based Android Malware Detection. Retrieved from https://ieeexplore.ieee.org/abstract ...

Feb 28, 2021 · There- fore recently researchers have started exploring machine learning and deep learning based malware detection systems. In this paper, we.

In this paper, we apply a linear support vector machine (SVM) to detect Android malware and compare the malware detection performance of SVM with that of other ...

Cyber security has attracted many researchers in the past for designing of Machine Learning (ML) or Deep Learning (DL) based malware detection models. In this ...