@inproceedings{AhmadZimmermannMuelleretal.2020,
  author    = {Zahoor Ahmad and Lukas Zimmermann and Kai-Uwe M{\"u}ller and Axel Sikora},
  title     = {Modeling of Random Variations in a Switched Capacitor Circuit based Physically Unclonable Function},
  series = {ICIT 2020: 2020 The 8th International Conference on Information Technology: IoT and Smart City},
  publisher = {ACM Press},
  address   = {New York},
  organization    = {Association for Computing Machinery},
  isbn      = {978-1-4503-8855-9},
  doi       = {10.1145/3446999.3447642},
  pages     = {257 -- 261},
  year      = {2020},
  abstract  = {The Internet of Things (IoT) is expanding to a wide range of fields such as home automation, agriculture, environmental monitoring, industrial applications, and many more. Securing tens of billions of interconnected devices in the near future will be one of the biggest challenges. IoT devices are often constrained in terms of computational performance, area, and power, which demand lightweight security solutions. In this context, hardware-intrinsic security, particularly physically unclonable functions (PUFs), can provide lightweight identification and authentication for such devices. In this paper, random capacitor variations in a switched capacitor PUF circuit are used as a source of entropy to generate unique security keys. Furthermore, a mathematical model based on the ordinary least square method is developed to describe the relationship between random variations in capacitors and the resulting output voltages. The model is used to filter out systematic variations in circuit components to improve the quality of the extracted secrets.},
  language  = {en}
}