Detecting Android Malware by Analyzing Manifest Files

نویسندگان

  • Ryo Sato
  • Daiki Chiba
  • Shigeki Goto
چکیده

The threat of Android malware has increased owing to the increasing popularity of smartphones. Once an Android smartphone is infected with malware, the user suffers from various damages, such as the theft of personal information stored in the smartphones, the unintentional sending of short messages to premium-rate numbers without the user’s knowledge, and the ability for the infected smartphones to be remotely operated and used for other malicious attacks. However, there are currently insufficient defense mechanisms against Android malware. This study proposes a new method to detect Android malware. The new method analyzes only manifest files that are required in Android applications. It realizes a lightweight approach for detection, and its effectiveness is experimentally confirmed by employing real samples of Android malware. The result shows that the new method can effectively detect Android malware, even when the sample is unknown.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DroidCheck: Android Malware Detection by Behavioral Techniques and Honeypot

Android, the name is quite enough to show its dominance in the mobile computing world. Android is now the market leader among all its competitors. As, it is the largest shareholder in the market it has become bull’s eye for the attackers. Security is one of the major concerns for android users today. It has become the most viable target of security threats. With the increase in power and featur...

متن کامل

Infrastructure for Detecting Android Malware

Malware for smartphones have sky-rocketed these last years, particularly for Android platforms. To tackle this threat, services such as Google Bouncer have intended to counter-attack. However, it has been of short duration since the malware have circumvented the service by changing their behaviors. Therefore, we propose a malware taxonomy, a survey of attack vectors to better understand the And...

متن کامل

DroidMat: Android Malware Detection

Recently, the threat of Android malware is spreading rapidly, especially those repackaged Android malware. Although understanding Android malware using dynamic analysis can provide a comprehensive view, it is still subjected to high cost in environment deployment and manual efforts in investigation. In this study, we propose a static feature-based mechanism to provide a static analyst paradigm ...

متن کامل

Obfuscation-Resilient, Efficient, and Accurate Detection and Family Identification of Android Malware

The number of Android malware apps are increasing very quickly. Simply detecting and removing malware apps is insufficient, since they can damage or alter other files, data, or settings; install additional applications; etc. To determine such behavior, a security engineer can significantly benefit from identifying the specific family to which an Android malware belongs. Techniques for detecting...

متن کامل

Mama: manifest Analysis for Malware Detection in Android

The use of mobile phones has increased in our lives because they offer nearly the same functionality as a personal computer. Besides, the number of applications available for Android-based mobile devices has increased. Google offers programmers the opportunity to upload and sell applications in the Android Market, but malware writers upload their malicious code there. In light of this backgroun...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013