Zhang, Jiangfan, Blum, Rick S., and Poor, H. Vincent. Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks. Retrieved from https://par.nsf.gov/biblio/10084712. IEEE Signal Processing Magazine 35.5 Web. doi:10.1109/MSP.2018.2842261.

Zhang, Jiangfan, Blum, Rick S., & Poor, H. Vincent. Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks. IEEE Signal Processing Magazine, 35 (5). Retrieved from https://par.nsf.gov/biblio/10084712. https://doi.org/10.1109/MSP.2018.2842261

Zhang, Jiangfan, Blum, Rick S., and Poor, H. Vincent. "Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks". IEEE Signal Processing Magazine 35 (5). Country unknown/Code not available. https://doi.org/10.1109/MSP.2018.2842261. https://par.nsf.gov/biblio/10084712.

@article{osti_10084712,
place = {Country unknown/Code not available}, title = {Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks}, url = {https://par.nsf.gov/biblio/10084712}, DOI = {10.1109/MSP.2018.2842261}, abstractNote = {}, journal = {IEEE Signal Processing Magazine}, volume = {35}, number = {5}, author = {Zhang, Jiangfan and Blum, Rick S. and Poor, H. Vincent}, }