Ανίχνευση κακόβουλου λογισμικού σε περιβάλλον android με τεχνικές data mining
The Android operating system gives access to applications based on model of permissions. In this work we use the permissions of safe and malicious applications as a data structure to excavate knowledge so that we can predict if an application from Google Play is safe or malicious using Rapidminer va...
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| Γλώσσα: | el_GR |
| Δημοσίευση: |
2019
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| Διαθέσιμο Online: | https://vsmart.lib.aegean.gr/webopac/FullBB.csp?WebAction=ShowFullBB&EncodedRequest=*3C*8F*04*B9*E1*3F*80*8E*A8P*B8*F39*FD*5B*1D&Profile=Default&OpacLanguage=gre&NumberToRetrieve=50&StartValue=2&WebPageNr=1&SearchTerm1=2015 .1.113120&SearchT1=&Index1=Keywordsbib&SearchMethod=Find_1&ItemNr=2 http://hdl.handle.net/11610/19596 |
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| Περίληψη: | The Android operating system gives access to applications based on model of permissions. In this work we use the permissions of safe and malicious applications as a data structure to excavate knowledge so that we can predict if an application from Google Play is safe or malicious using Rapidminer various data mining techniques and algorithms to get the best possible result.
We will show the way data was collected and their analysis to arrive at a desired result which we will apply with an android application and a Java server. The user through a simple android application will be able to type the name of the application on Google Play which wants to check. Then the application will communicate locally with the server where the analysis and prediction through Rapidminer take place . Finally it returns to the screen of the user the prediction whether the application he searched is malicious or not. |
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