Hardware Implementations of True Random Number Generators and Physically Unclonable Functions

Design of a High-Speed True Random Number Generator and an Asynchronous AES Processor

Deep convolutional neural networks used for classification, including AlexNet, VGG-16, InceptionNet, and ResNet, have been examined. These networks are typically implemented on GPUs and require substantial computational resources and energy consumption. We are investigating methods that enable them to operate on embedded systems while reducing their power consumption.

True random number generator Circuit micrograph

Theses

  1. Zaur Tariguliyev, “Analysis and Characterization of Arbiter PUF,” 2010.
  2. Gürkan Kaya, “Improving the Security of Ring-Oscillator-Based Physically Unclonable Functions,” 2012.
  3. Burak Gövem, “Protection of Intellectual Property Rights Using Physically Unclonable Functions and Helper Data, and Ensuring the Security of Proprietary Algorithms and Hardware,” 2013.
  4. Emre Göncü, “Digital Design of Cellular Automata with Memory,” 2013.
  5. Emrah Abdioğlu, “Electronic Solutions Against Cloning in Mechatronic Systems,” 2014.
  6. Şahin Baş, “Key Generation and License Authentication Using Physically Unclonable Functions,” 2015.
  7. Abdülkadir Koçdoğan, “Design of a Random Number Generator Using Cellular Automata with Memory on FPGA,” 2015.

Publications

  1. E. Göncü, A. Koçdoğan, M. Yalçın, “A High Speed True Random Number Generator with Cellular Automata with Random Memory,” ISCAS 2018.
  2. E. Abtioğlu, R. Yeniçeri, B. Gövem, E. Göncü, M. Yalçın, G. Saldamlı, “Partially Reconfigurable IP Protection System with Ring Oscillator Based Physically Unclonable Functions,” NGCAS 2017.
  3. E. Abtioğlu, R. Yeniçeri, M. Yalçın, “Cellular Network of Networks on Dynamically Partial Reconfigurable FPGA,” ECCTD 2015.
  4. Ş. Baş, M. Yalçın, “Key Generation and License Authentication Using Physical Unclonable Functions,” SIU 2015.
  5. E. Göncü, M. Yalçın, “A New Cellular Automata Model with Memory and Its FPGA Implementation,” CNNA 2014.
  6. Z. Tariguliyev, B. Örs, “Reliability and Security of Arbiter-based Physical Unclonable Function Circuits,” International Journal of Communication Systems, vol. 26, no. 6, June 2013.
  7. O. Süzer, G. Kaya, F. Dönmez, G. Saldamlı, M. Yalçın, “A Practical Authentication Method of FPGA Designs Suitable for Mass Production,” ELECO 2011.