Collusion Detection using Predictive Functions based on Android Applications
Android is used by most of the population of the users. It is an attractive target for malicious application developers due to its open source nature. These malicious writers are developing new trends to steal sensitive information from the devices. A new trend is represented as collision attack in...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sukkur IBA University
2023-01-01
|
| Series: | Sukkur IBA Journal of Computing and Mathematical Sciences |
| Subjects: | |
| Online Access: | http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/953 |
| _version_ | 1797901812352679936 |
|---|---|
| author | Aurangzeb Magsi Asad Hameed Soomro |
| author_facet | Aurangzeb Magsi Asad Hameed Soomro |
| author_sort | Aurangzeb Magsi |
| collection | DOAJ |
| description |
Android is used by most of the population of the users. It is an attractive target for malicious application developers due to its open source nature. These malicious writers are developing new trends to steal sensitive information from the devices. A new trend is represented as collision attack in this manner. During this attack different apps communicate via Inter-Process Communication (IPC) for variety of purposes. In this paper, a dynamic approach is proposed for automatic collision detection between communication applications. The focus of the study is on the sharing of multiple type data. Moreover, to select application for analyzing is difficult task to perform and two predictive functions has been used in this manner. The evaluation was performed on a dataset of 800 android applications for analyzing the colluding couples. The developed methodology produces an accuracy of 97.2% during the experiments by the developed system.
|
| first_indexed | 2024-04-10T09:07:51Z |
| format | Article |
| id | doaj.art-919c426b3f22452898ebdca968ff8b50 |
| institution | Directory Open Access Journal |
| issn | 2520-0755 2522-3003 |
| language | English |
| last_indexed | 2024-04-10T09:07:51Z |
| publishDate | 2023-01-01 |
| publisher | Sukkur IBA University |
| record_format | Article |
| series | Sukkur IBA Journal of Computing and Mathematical Sciences |
| spelling | doaj.art-919c426b3f22452898ebdca968ff8b502023-02-21T05:17:16ZengSukkur IBA UniversitySukkur IBA Journal of Computing and Mathematical Sciences2520-07552522-30032023-01-016210.30537/sjcms.v6i2.953Collusion Detection using Predictive Functions based on Android ApplicationsAurangzeb Magsi0Asad Hameed SoomroShah Abdul Latif University Android is used by most of the population of the users. It is an attractive target for malicious application developers due to its open source nature. These malicious writers are developing new trends to steal sensitive information from the devices. A new trend is represented as collision attack in this manner. During this attack different apps communicate via Inter-Process Communication (IPC) for variety of purposes. In this paper, a dynamic approach is proposed for automatic collision detection between communication applications. The focus of the study is on the sharing of multiple type data. Moreover, to select application for analyzing is difficult task to perform and two predictive functions has been used in this manner. The evaluation was performed on a dataset of 800 android applications for analyzing the colluding couples. The developed methodology produces an accuracy of 97.2% during the experiments by the developed system. http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/953Security, Android, Collision Detection, Formal Model, Predictive function |
| spellingShingle | Aurangzeb Magsi Asad Hameed Soomro Collusion Detection using Predictive Functions based on Android Applications Sukkur IBA Journal of Computing and Mathematical Sciences Security, Android, Collision Detection, Formal Model, Predictive function |
| title | Collusion Detection using Predictive Functions based on Android Applications |
| title_full | Collusion Detection using Predictive Functions based on Android Applications |
| title_fullStr | Collusion Detection using Predictive Functions based on Android Applications |
| title_full_unstemmed | Collusion Detection using Predictive Functions based on Android Applications |
| title_short | Collusion Detection using Predictive Functions based on Android Applications |
| title_sort | collusion detection using predictive functions based on android applications |
| topic | Security, Android, Collision Detection, Formal Model, Predictive function |
| url | http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/953 |
| work_keys_str_mv | AT aurangzebmagsi collusiondetectionusingpredictivefunctionsbasedonandroidapplications AT asadhameedsoomro collusiondetectionusingpredictivefunctionsbasedonandroidapplications |