CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning
Today many smart devices are running on Android systems. With the increasing popularity of Android, mobile malware continuously evolves as well, and further attacks Android operating systems. To address these shortcoming issues many security experts use different approaches to detect malware based o...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40367/1/CAGDEEP_Mobile%20malware%20analysis%20using%20force%20atlas%202.pdf http://umpir.ump.edu.my/id/eprint/40367/2/CAGDEEP_Mobile%20malware%20analysis%20using%20force%20atlas%202%20with%20strong%20gravity%20call%20graph%20and%20deep%20learning_ABS.pdf http://umpir.ump.edu.my/id/eprint/40367/ https://doi.org/10.1109/ICSECS58457.2023.10256350 |
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http://umpir.ump.edu.my/id/eprint/40367/1/CAGDEEP_Mobile%20malware%20analysis%20using%20force%20atlas%202.pdfhttp://umpir.ump.edu.my/id/eprint/40367/2/CAGDEEP_Mobile%20malware%20analysis%20using%20force%20atlas%202%20with%20strong%20gravity%20call%20graph%20and%20deep%20learning_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40367/
https://doi.org/10.1109/ICSECS58457.2023.10256350