publication . Other literature type . Article . 2018

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System

Saba Arshad; Munam A. Shah; Abdul Wahid; Amjad Mehmood; Houbing Song; Hongnian Yu;
  • Published: 11 Jan 2018
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • Country: United Kingdom
Abstract
© 2013 IEEE. For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention. Android allows downloading and installation of apps from other unofficial market places. This gives malware developers an opportunity to put repackaged malicious applications in third-party app-stores and attack the Android devices. A large number of malware analysis and detection systems have been developed which uses static analysis, dynamic analysis, or hybrid analysis to keep Android devices secure from malware. However, the existing research clearly lags in detecting malware...
Subjects
free text keywords: General Engineering, General Materials Science, General Computer Science, Static analysis, Malware analysis, Android (operating system), Mobile device, Operating system, computer.software_genre, computer, Upload, Feature extraction, Humanoid robot, Computer science, Malware
74 references, page 1 of 5

[1] (2017). Gartner Says Worldwide Sales of Smartphones Grew 7 Percent in the Fourth Quarter of 2016. Accessed: Apr. 28, 2017. [Online]. Available: http://www.gartner.com/newsroom/id/3609817

[2] Trend Micro Q2 Security Roundup Report | Androidheadlines.Com. Accessed: Dec. 8, 2015. [Online]. Available: http://www.androidheadlines. com/2015/08/trend-micro-q2-security-roundup-report.html

[3] D. Arp, M. Spreitzenbarth, H. Malte, H. Gascon, and K. Rieck, ``DREBIN: Effective and explainable detection of Android malware in your pocket,'' in Proc. Symp. Netw. Distrib. Syst. Secur. (NDSS), 2014, pp. 23 26. [OpenAIRE]

[4] T. Bläsing, L. Batyuk, A.-D. Schmidt, S. A. Camtepe, and S. Albayrak, ``An Android Application Sandbox system for suspicious software detection,'' in Proc. 5th IEEE Int. Conf. Malicious Unwanted Softw., Malware, Oct. 2010, pp. 55 62.

[5] [Utility][Tool][Windows] Baksmali/Smali Ma: : : | Android Development and Hacking. Accessed: Dec. 22, 2015. [Online]. Available: http://forum.xda-developers.com/showthread.php?t=2311766

[6] Y. Zhou, Z. Wang, W. Zhou, and X. Jiang, ``Hey, you, get off of my market: Detecting malicious apps in of cial and alternative Android markets,'' in Proc. 19th Annu. Netw. Distrib. Syst. Secur. Symp., 2012, no. 2, pp. 5 8.

[7] Android Apps on Google Play. Accessed: Aug. 30, 2016. [Online]. Available: https://play.google.com/store?hl=en

[8] Android Games Android Application Android Phones__Excellent Software Download Center Of cial Website-Billion Market. Accessed: Aug. 30, 2016. [Online]. Available: http://www.eoemarket.com/

[9] Machine Front Network Technology News, all in the Machine Front. Accessed: Aug. 30, 2016. [Online]. Available: http://www.gfan.com/

[10] DexClassLoader | Android Developers. Accessed: Aug. 30, 2016. [Online]. Available: https://developer.android.com/reference/dalvik/ system/DexClassLoader.html

[11] Update: Security Alert: DroidDreamLight, New Malware From the Developers of DroidDream | Lookout Blog. Accessed: Aug. 30, 2016. [Online]. Available: https://blog.lookout.com/blog/2011/05/30/securityalert-droiddreamlight-new-malware-from-the-developers-of-droiddream/

[12] W.-C. Wu and S.-H. Hung, ``DroidDolphin: A dynamic Android malware detection framework using big data and machine learning,'' in Proc. Conf. Res. Adapt. Convergent Syst., Oct. 2014, pp. 247 252.

[13] API Monitor: Spy on API Calls and COM Interfaces (Freeware 32-Bit and 64-Bit Versions!) | Rohitab.Com. Accessed: Aug. 22, 2016. [Online]. Available: http://www.rohitab.com/apimonitor

[14] DroidBox. Accessed: Aug. 22, 2016. [Online]. Available: https://github.com/pjlantz/droidbox

[15] S. Chang, ``APE: A smart automatic testing environment for Android malware,'' Dept. Comput. Sci. Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep., 2013.

74 references, page 1 of 5
Abstract
© 2013 IEEE. For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention. Android allows downloading and installation of apps from other unofficial market places. This gives malware developers an opportunity to put repackaged malicious applications in third-party app-stores and attack the Android devices. A large number of malware analysis and detection systems have been developed which uses static analysis, dynamic analysis, or hybrid analysis to keep Android devices secure from malware. However, the existing research clearly lags in detecting malware...
Subjects
free text keywords: General Engineering, General Materials Science, General Computer Science, Static analysis, Malware analysis, Android (operating system), Mobile device, Operating system, computer.software_genre, computer, Upload, Feature extraction, Humanoid robot, Computer science, Malware
74 references, page 1 of 5

[1] (2017). Gartner Says Worldwide Sales of Smartphones Grew 7 Percent in the Fourth Quarter of 2016. Accessed: Apr. 28, 2017. [Online]. Available: http://www.gartner.com/newsroom/id/3609817

[2] Trend Micro Q2 Security Roundup Report | Androidheadlines.Com. Accessed: Dec. 8, 2015. [Online]. Available: http://www.androidheadlines. com/2015/08/trend-micro-q2-security-roundup-report.html

[3] D. Arp, M. Spreitzenbarth, H. Malte, H. Gascon, and K. Rieck, ``DREBIN: Effective and explainable detection of Android malware in your pocket,'' in Proc. Symp. Netw. Distrib. Syst. Secur. (NDSS), 2014, pp. 23 26. [OpenAIRE]

[4] T. Bläsing, L. Batyuk, A.-D. Schmidt, S. A. Camtepe, and S. Albayrak, ``An Android Application Sandbox system for suspicious software detection,'' in Proc. 5th IEEE Int. Conf. Malicious Unwanted Softw., Malware, Oct. 2010, pp. 55 62.

[5] [Utility][Tool][Windows] Baksmali/Smali Ma: : : | Android Development and Hacking. Accessed: Dec. 22, 2015. [Online]. Available: http://forum.xda-developers.com/showthread.php?t=2311766

[6] Y. Zhou, Z. Wang, W. Zhou, and X. Jiang, ``Hey, you, get off of my market: Detecting malicious apps in of cial and alternative Android markets,'' in Proc. 19th Annu. Netw. Distrib. Syst. Secur. Symp., 2012, no. 2, pp. 5 8.

[7] Android Apps on Google Play. Accessed: Aug. 30, 2016. [Online]. Available: https://play.google.com/store?hl=en

[8] Android Games Android Application Android Phones__Excellent Software Download Center Of cial Website-Billion Market. Accessed: Aug. 30, 2016. [Online]. Available: http://www.eoemarket.com/

[9] Machine Front Network Technology News, all in the Machine Front. Accessed: Aug. 30, 2016. [Online]. Available: http://www.gfan.com/

[10] DexClassLoader | Android Developers. Accessed: Aug. 30, 2016. [Online]. Available: https://developer.android.com/reference/dalvik/ system/DexClassLoader.html

[11] Update: Security Alert: DroidDreamLight, New Malware From the Developers of DroidDream | Lookout Blog. Accessed: Aug. 30, 2016. [Online]. Available: https://blog.lookout.com/blog/2011/05/30/securityalert-droiddreamlight-new-malware-from-the-developers-of-droiddream/

[12] W.-C. Wu and S.-H. Hung, ``DroidDolphin: A dynamic Android malware detection framework using big data and machine learning,'' in Proc. Conf. Res. Adapt. Convergent Syst., Oct. 2014, pp. 247 252.

[13] API Monitor: Spy on API Calls and COM Interfaces (Freeware 32-Bit and 64-Bit Versions!) | Rohitab.Com. Accessed: Aug. 22, 2016. [Online]. Available: http://www.rohitab.com/apimonitor

[14] DroidBox. Accessed: Aug. 22, 2016. [Online]. Available: https://github.com/pjlantz/droidbox

[15] S. Chang, ``APE: A smart automatic testing environment for Android malware,'' Dept. Comput. Sci. Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep., 2013.

74 references, page 1 of 5
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publication . Other literature type . Article . 2018

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System

Saba Arshad; Munam A. Shah; Abdul Wahid; Amjad Mehmood; Houbing Song; Hongnian Yu;