Jan 12, 2018 · In this paper, we introduce Significant Permission IDentification (SigPID), a malware detection system based on permission usage analysis to ...

In this paper, we introduce SIGPID, a malware detection system based on permission usage analysis to cope with the rapid increase in the number of Android ...

Af- ter pruning, SIGPID employs supervised machine learning classification methods to identify potential Android mal- ware.

SIGPID then utilizes machine-learning primarily based classification strategies to classify completely different families of malware and benign apps. Our ...

Based on the identified significant permissions, SigPID utilizes classification algorithms to classify different families of malware and benign apps. Our ...

SIGPID then utilizes classification algorithms to classify different families of malware and benign apps. Our evaluation finds that only 22 out of 135 ...

Significant Permission IDentification (SigPID), a malware detection system based on permission usage analysis to cope with the rapid increase in the number ...

Feb 28, 2021 · In this paper, we performed a comprehensive feature analysis to identify the significant Android permissions and propose an efficient Android ...

based on machine learning and data mining. Static analysis provides an efficient way to detect the malware targeting Android devices. Enck et al. [14] ...

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 ...