Corpus ID: 53218238

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection

@article{Ye2018AiDroidWH,
  title={AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection},
  author={Yanfang Ye and Shifu Hou and Lingwei Chen and Jingwei Lei and Wenqiang Wan and Jiabin Wang and Qi Xiong and Fudong Shao},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.01027}
}
The explosive growth and increasing sophistication of Android malware call for new defensive techniques that are capable of protecting mobile users against novel threats. In this paper, we first extract the runtime Application Programming Interface (API) call sequences from Android apps, and then analyze higher-level semantic relations within the ecosystem to comprehensively characterize the apps. To model different types of entities (i.e., app, API, IMEI, signature, affiliation) and the rich… Expand
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