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The Rise of Android Malware and
Efficiency of Anti-virus
Daniel Adenew
Intorduction
 Popularity of Smartphones
 53% End of 2012
 A survey shows the amount of malware identified on
the Androi...
Background Info
 Not always PC vs Always Connected Smart phones
 Un trusted Source
 Existence of Multiple Vendors and U...
Android Ant-Malware
 First Malware 2010,HTC
 471%This survey also goes on to say that 55% of
the identified malware was...
Why we need Analysis?
 Because, there is no exact way of measuring anti-
malware tools and products?
 Every anti-virus p...
The Question here can be Does the
antivirus protect the device or not?
 Answer is yes it does, but it is only to some ext...
Methodology of the research
Basis
 Can anti-virus detect a suspicious application?
 What is efficiency of any antivirus ...
How is Selected?
 Using the rating value on the markets
 reviews given from different online magazine and
journals were ...
How is Selected?
 R2 Criteria
 Based on above criteria the research selected a 41
anti-virus application to do the test ...
Test Scenario
 Installing the spyware/malware before any antivirus
tools
 Installing the spyware/malware after any antiv...
Under the Following Conditions
 In R1,Testconditon where There android devices one
with root privilege available-
 In R2...
Test Execution
 Based on two criteria?
 Malware Installed then anti-malware followed and
test examination-[with full sys...
Finding
 In R1 –used 6 anti-virsu tools and 2 popular malwares
 In R2,used 618 malware pkg,and all available anti-mlawre...
Result continued…
 R2
This research used categorization of detection rate, as
there is no exact detection rate to categor...
Conclusion
 Form the result on the research it can be said that not all
anti- virus products are effective at preventing ...
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The rise of android malware and efficiency of Anti-Virus

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Presentation Slide -By Daniel Adenew MSC AAU - Research and Metholdogy

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The rise of android malware and efficiency of Anti-Virus

  1. 1. The Rise of Android Malware and Efficiency of Anti-virus Daniel Adenew
  2. 2. Intorduction  Popularity of Smartphones  53% End of 2012  A survey shows the amount of malware identified on the Android platform has increased about 472% during the period June 2011 to November 2011.  Pressing Need of Anti-malware  In this paper we will first take a look the cause of rapid android malware increase and follows analyzing the efficiency of the anti-malwares
  3. 3. Background Info  Not always PC vs Always Connected Smart phones  Un trusted Source  Existence of Multiple Vendors and Update and Patch dependency, New API  No Evaluation; we can say very poor as that of Apple.inc  Open Source Platform and Permission request permission they don’t require and user’s allow  Rooting Feature  most EVIL! –Execute with High Privilege.
  4. 4. Android Ant-Malware  First Malware 2010,HTC  471%This survey also goes on to say that 55% of the identified malware was from applications that were installed on the mobile device and 44% were SMS Trojan horses.
  5. 5. Why we need Analysis?  Because, there is no exact way of measuring anti- malware tools and products?  Every anti-virus product on android market claims its full protection. So, the best we can do is to know which one has highest detection rate. But, that doesn’t be a simple task? Anti-Virus analysis seems necessary because there doesn’t appear to be an independent evaluation or efficiency anti-virus measure tools.
  6. 6. The Question here can be Does the antivirus protect the device or not?  Answer is yes it does, but it is only to some extent or not full protection.
  7. 7. Methodology of the research Basis  Can anti-virus detect a suspicious application?  What is efficiency of any antivirus application in protecting a given Android-enabled smart phone? efficiency using two Questions  Before and After installation ? Does the anti-virus tool detect , disable , avoid and protect the device?
  8. 8. How is Selected?  Using the rating value on the markets  reviews given from different online magazine and journals were also considered. Two categories of research used on the report R1 and R2,I named them. R1 Criteria Based on above criteria the research selected a six anti-virus application to do the test analysis. And, two popular spyware/malware tools i.e. malwares were also selected based on rating and popularity.
  9. 9. How is Selected?  R2 Criteria  Based on above criteria the research selected a 41 anti-virus application to do the test analysis. And, 618 spyware/malware tools i.e. malwares were also selected based on rating and popularity.
  10. 10. Test Scenario  Installing the spyware/malware before any antivirus tools  Installing the spyware/malware after any antivirus tool installed on the device
  11. 11. Under the Following Conditions  In R1,Testconditon where There android devices one with root privilege available-  In R2,Used android emulator for root privileged exploitation and three android devices form known vendors  Since, there is no Vendor dependent malware?
  12. 12. Test Execution  Based on two criteria?  Malware Installed then anti-malware followed and test examination-[with full system scan]  Anti-malware installed then anti-malware followed and test examination-[with full system scan[]  In both case, efficiency was consider if anti-virus is able to detect,avoid,protect the device?
  13. 13. Finding  In R1 –used 6 anti-virsu tools and 2 popular malwares  In R2,used 618 malware pkg,and all available anti-mlawre on the market  Result on R1  In the first scenario .i.e installing the malware before any anti-virus product.  The result shows that out the 6 selected anti-virus applications, only two can detect and disable the two of the spywares/malwares and rest tested anti-virus can only detect and not disable them.  In the second used on this research, i.e installing spyware after the anti-virus installation.  The result shows that out the 6 selected anti-virus applications, only two can detect and disable the two of the spywares/malwares and rest tested anti-virus can’t able to neither to identify, detect nor to disable them. It also noted the anti-virus was also infected by the spyware/malwares.
  14. 14. Result continued…  R2 This research used categorization of detection rate, as there is no exact detection rate to categorize all , fluctuates. first category contains products that detected over 90%, the second category 90% to 65%, the third 65% to 40%, the fourth everything less than 40% but above 0% and finally the last group contains the products that didn’t detect anything. this groups were found to be from un trusted market.
  15. 15. Conclusion  Form the result on the research it can be said that not all anti- virus products are effective at preventing malware and spyware from infecting an Android phone.  Showed AOS has many security holes  The application test for security in android market are weak,[Trojan]  Check rating and new apps before downloading  Limit permission ,in Jelly bean 4.1  Root privilege feature most not be enabled, with out trust  Need more research ++++++++++++++++++Thank you!+++++++++++++++

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