Ding, Fei, Li, Hongda, Luo, Feng, Hu, Hongxin, Cheng, Long, Xiao, Hai, and Ge, Rong. DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. Retrieved from https://par.nsf.gov/biblio/10293584. Proceedings of the 15th ACM Asia Conference on Computer and Communications Security . Web. doi:10.1145/3320269.3384727.

Ding, Fei, Li, Hongda, Luo, Feng, Hu, Hongxin, Cheng, Long, Xiao, Hai, & Ge, Rong. DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. Proceedings of the 15th ACM Asia Conference on Computer and Communications Security, (). Retrieved from https://par.nsf.gov/biblio/10293584. https://doi.org/10.1145/3320269.3384727

Ding, Fei, Li, Hongda, Luo, Feng, Hu, Hongxin, Cheng, Long, Xiao, Hai, and Ge, Rong. "DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels". Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (). Country unknown/Code not available. https://doi.org/10.1145/3320269.3384727. https://par.nsf.gov/biblio/10293584.

@article{osti_10293584,
place = {Country unknown/Code not available}, title = {DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels}, url = {https://par.nsf.gov/biblio/10293584}, DOI = {10.1145/3320269.3384727}, abstractNote = {}, journal = {Proceedings of the 15th ACM Asia Conference on Computer and Communications Security}, author = {Ding, Fei and Li, Hongda and Luo, Feng and Hu, Hongxin and Cheng, Long and Xiao, Hai and Ge, Rong}, editor = {null} }