Significant Permission Identification for Machine-Learning-Based Android Malware Detection
نویسندگان
چکیده
منابع مشابه
Significant Permission Identification for Android Malware Detection
A recent report indicates that a newly developed malicious app for Android is introduced every 11 seconds. To combat this alarming rate of malware creation, we need a scalable malware detection approach that is effective and efficient. In this thesis, we introduce SigPID, a malware detection system based on permission analysis to cope with the rapid increase in the number of Android malware. In...
متن کاملPermission-Based Android Malware Detection
Mobile devices have become popular in our lives since they offer almost the same functionality as personal computers. Among them, Android-based mobile devices had appeared lately and, they were now an ideal target for attackers. Android-based smartphone users can get free applications from Android Application Market. But, these applications were not certified by legitimate organizations and the...
متن کاملPermission based Malware Analysis & Detection in Android
Android being a leading and the most popular operating system for smart phones and tablets, has also become a prime target for the attackers due to its growing users and it being an open source platform. This document describes the work done in detecting malware in the Android platform by performing static analysis on the permission based framework in Android platform. In our work, we have extr...
متن کاملMachine Learning-Based Malware Detection for Android Applications: History Matters!
Machine Learning-based malware detection is a promising scalable method for identifying suspicious applications. In particular, in today’s mobile computing realm where thousands of applications are daily poured into markets, such a technique could be valuable to guarantee a strong filtering of malicious apps. The success of machine-learning approaches however is highly dependent on (1) the qual...
متن کاملComparative evaluation of machine learning-based malware detection on Android
The Android platform is known as the market leader for mobile devices, but it also has gained much attention among malware authors in recent years. The widespread of malware, a consequence of its popularity and the design features of the Android ecosystem, constitutes a major security threat currently targeted by the research community. Among all counter methods proposed in previous publication...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Informatics
سال: 2018
ISSN: 1551-3203,1941-0050
DOI: 10.1109/tii.2017.2789219