DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection

Ali Muzaffar; Hani Ragab Hassan; Hind Zantout; Michael Adam Lones

doi:10.1007/978-3-031-40598-3_1

DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection

Ali Muzaffar, Hani Ragab Hassan, Hind Zantout, Michael Adam Lones

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

12 Downloads (Pure)

Abstract

DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract all of the most widely used features in Android malware detection from one location. The static analysis module extracts features from both the manifest file and the source code of the application to obtain a broad array of features that include permissions, API call graphs and opcodes. The dynamic analysis module runs on the latest version of Android and analyses the complete behaviour of an application by tracking the system calls used, network traffic generated, API calls used and log files produced by the application.

Original language	English
Title of host publication	Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023
Editors	Hind Zantout, Hani Ragab Hassen
Publisher	Springer
Pages	3-9
Number of pages	7
ISBN (Electronic)	9783031405983
ISBN (Print)	9783031405976
DOIs	https://doi.org/10.1007/978-3-031-40598-3_1
Publication status	Published - 8 Sept 2023
Event	International Conference on Applied CyberSecurity 2023 - Dubai, United Arab Emirates Duration: 29 Apr 2023 → 29 Apr 2023 https://acsconf.org/

Publication series

Name	Lecture Notes in Networks and Systems
Volume	760
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Applied CyberSecurity 2023
Abbreviated title	ACS23
Country/Territory	United Arab Emirates
City	Dubai
Period	29/04/23 → 29/04/23
Internet address	https://acsconf.org/

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10.1007/978-3-031-40598-3_1

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Muzaffar, A., Ragab Hassan, H., Zantout, H., & Lones, M. A. (2023). DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. In H. Zantout, & H. Ragab Hassen (Eds.), Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023 (pp. 3-9). (Lecture Notes in Networks and Systems; Vol. 760). Springer. https://doi.org/10.1007/978-3-031-40598-3_1

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abstract = "DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract all of the most widely used features in Android malware detection from one location. The static analysis module extracts features from both the manifest file and the source code of the application to obtain a broad array of features that include permissions, API call graphs and opcodes. The dynamic analysis module runs on the latest version of Android and analyses the complete behaviour of an application by tracking the system calls used, network traffic generated, API calls used and log files produced by the application.",

author = "Ali Muzaffar and {Ragab Hassan}, Hani and Hind Zantout and Lones, {Michael Adam}",

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Muzaffar, A , Ragab Hassan, H , Zantout, H & Lones, MA 2023, DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. in H Zantout & H Ragab Hassen (eds), Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023. Lecture Notes in Networks and Systems, vol. 760, Springer, pp. 3-9, International Conference on Applied CyberSecurity 2023, Dubai, United Arab Emirates, 29/04/23. https://doi.org/10.1007/978-3-031-40598-3_1

DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. / Muzaffar, Ali ; Ragab Hassan, Hani ; Zantout, Hind et al.
Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023. ed. / Hind Zantout; Hani Ragab Hassen. Springer, 2023. p. 3-9 (Lecture Notes in Networks and Systems; Vol. 760).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection

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