Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation)
Android is a free open-source operating system (OS), which allows an in-depth understanding of its architecture. Therefore, many manufacturers are utilizing this OS to produce mobile devices (smartphones, smartwatch, and smart glasses) in different brands, including Google Pixel, Motorola, Samsung,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Peerj Inc.
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32834/ http://umpir.ump.edu.my/id/eprint/32834/1/Malware%20detection%20using%20static%20analysis%20in%20android_a%20review%20of%20feco.pdf |
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| author | Rosmalissa, Jusoh Ahmad Firdaus, Zainal Abidin Anwar, Shahid Mohd Zamri, Osman Mohd Faaizie, Darmawan Mohd Faizal, Ab Razak |
| author_facet | Rosmalissa, Jusoh Ahmad Firdaus, Zainal Abidin Anwar, Shahid Mohd Zamri, Osman Mohd Faaizie, Darmawan Mohd Faizal, Ab Razak |
| author_sort | Rosmalissa, Jusoh |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Android is a free open-source operating system (OS), which allows an in-depth understanding of its architecture. Therefore, many manufacturers are utilizing this OS to produce mobile devices (smartphones, smartwatch, and smart glasses) in different brands, including Google Pixel, Motorola, Samsung, and Sony. Notably, the employment of OS leads to a rapid increase in the number of Android users. However, unethical authors tend to develop malware in the devices for wealth, fame, or private purposes. Although practitioners conduct intrusion detection analyses, such as static analysis, there is an inadequate number of review articles discussing the research efforts on this type of analysis. Therefore, this study discusses the articles published from 2009 until 2019 and analyses the steps in the static analysis (reverse engineer, features, and classification) with taxonomy. Following that, the research issue in static analysis is also highlighted. Overall, this study serves as the guidance for novice security practitioners and expert researchers in the proposal of novel research to detect malware through static analysis. |
| first_indexed | 2025-11-15T03:07:58Z |
| format | Article |
| id | ump-32834 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:07:58Z |
| publishDate | 2021 |
| publisher | Peerj Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-328342022-04-18T02:19:15Z http://umpir.ump.edu.my/id/eprint/32834/ Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) Rosmalissa, Jusoh Ahmad Firdaus, Zainal Abidin Anwar, Shahid Mohd Zamri, Osman Mohd Faaizie, Darmawan Mohd Faizal, Ab Razak QA76 Computer software Android is a free open-source operating system (OS), which allows an in-depth understanding of its architecture. Therefore, many manufacturers are utilizing this OS to produce mobile devices (smartphones, smartwatch, and smart glasses) in different brands, including Google Pixel, Motorola, Samsung, and Sony. Notably, the employment of OS leads to a rapid increase in the number of Android users. However, unethical authors tend to develop malware in the devices for wealth, fame, or private purposes. Although practitioners conduct intrusion detection analyses, such as static analysis, there is an inadequate number of review articles discussing the research efforts on this type of analysis. Therefore, this study discusses the articles published from 2009 until 2019 and analyses the steps in the static analysis (reverse engineer, features, and classification) with taxonomy. Following that, the research issue in static analysis is also highlighted. Overall, this study serves as the guidance for novice security practitioners and expert researchers in the proposal of novel research to detect malware through static analysis. Peerj Inc. 2021 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/32834/1/Malware%20detection%20using%20static%20analysis%20in%20android_a%20review%20of%20feco.pdf Rosmalissa, Jusoh and Ahmad Firdaus, Zainal Abidin and Anwar, Shahid and Mohd Zamri, Osman and Mohd Faaizie, Darmawan and Mohd Faizal, Ab Razak (2021) Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation). PeerJ Computer Science, 7 (522). pp. 1-54. ISSN 2376-5992. (Published) https://doi.org/10.7717/peerj-cs.522 https://doi.org/10.7717/peerj-cs.522 |
| spellingShingle | QA76 Computer software Rosmalissa, Jusoh Ahmad Firdaus, Zainal Abidin Anwar, Shahid Mohd Zamri, Osman Mohd Faaizie, Darmawan Mohd Faizal, Ab Razak Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title | Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title_full | Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title_fullStr | Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title_full_unstemmed | Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title_short | Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation) |
| title_sort | malware detection using static analysis in android: a review of feco (features, classification, and obfuscation) |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/32834/ http://umpir.ump.edu.my/id/eprint/32834/ http://umpir.ump.edu.my/id/eprint/32834/ http://umpir.ump.edu.my/id/eprint/32834/1/Malware%20detection%20using%20static%20analysis%20in%20android_a%20review%20of%20feco.pdf |