Malware Detection & Prevention in Android Mobile by using Significant Permission Identification & Machine Learning

Ms. Kirti Reddy
2020 International Journal for Research in Applied Science and Engineering Technology  
Malware is today one of the biggest security threat to internet. People today use terms such as malware, spyware, or ransomware much more than the term "virus" where Malware can steal your information, make your device send SMS messages to premium rate text services, or install adware that forces you to view web pages or Download apps. We need a robust malware detection solution to counter this serious malware project that can effectively and efficiently recognis e malware apps. We will present
more » ... SIGPID in our proposed system to perform data extraction and as SIGPID design is effective in malware detection. Our method defines the substantial work permission needed by an application and differentiate between essential and non-essential permissions and detect and remove the malware on such a basis.
doi:10.22214/ijraset.2020.6046 fatcat:atbikmtpjbhdxnlkowshtbjq6a