Research Article
PICAndro: Packet InspeCtion-Based Android Malware Detection
Table 5
Comparison of the proposed work with state-of-the-art network traffic-based malware detection solutions in Android.
| Author | Year | Network features | Dataset | Technique | Accuracy |
| Arora et al. [13] | 2014 | Traffic statistics | Android MalGenome | Decision tree | 93.75 | Malik and Kaushal [14] | 2016 | DNS queries | Android MalGenome | Web of trust matching | ā | Wang et al. [15] | 2017 | URL text semantics | Self collected | SVM | 99.15 | Zulkifli et al. [16] | 2018 | Traffic statistics | Drebin, Contagio | Decision tree | 98.4 | Abuthawabeh and Mahmoud [17] | 2019 | Conversation level | CICAndMal2017 | ExtraTree classifier | 87.75 | Sanz et al. [18] | 2020 | TCP/IP header | Self collected | Random forest | 90 | Proposed Work | 2021 | Flow and session | CICMalDroid2020 | CNN | 99.12 |
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