Available Theses

[identification] Idnetification and Secrecy with Physically-Unclonable-Functions (PUFs)

Keywords:
PUF secrecy identification

Description

Identification is a communication scheme that allows rate doubly exponential in the blocklemght, with the tradeoff that identities cannot be decoded (as messages do) but can only be verified.

Identification codes can be achieved by first removing the errors from the channel with regular transmission channel coding, and then sending a challenge though the corrected channel. For every identity i, The channenge is generated by picking a random input m and computing the corresponding output T_i(m) using a function T_i that depends on the identity. The challenge is then the pair m,T_i(m) and the receiver wanting to verify an identity j will verify whether j=i by testing the challenge. This is done by recomputing the output with T_j and verifying whether T_j(m)= T_i(m). The errors are reduced by ensuring that the various functions collide on a small fraction of the possible inputs.

It turns out that choosing good sets of funtions {T_i} is the same as choosing error-correction codes {c_i} with large distance, where now each codeword c_i defines a function by mapping positions m (sometimes called code locators) to symbols c_im of the codeword.
We can thus construct identification codes by choosing error-correction codes where we are only interested in the performance of the error correction encoders (we are not interested in the error-correction decoder or error-correction codes).

From previous work we have a fairly efficient implementation based Reed-Muller code which can be found at

Secrecy in this identification codes has also been implemented in unpublished work. Furthermore, the theoretical work on Identification with PUF's has been done in

The goal of the project will be to bridge the three topics and create practical and efficient secret identification codes in the PUF setting.

The working language will be in English.

Environment: this is a project in collaboration with LTI. At LNT and LTI there is currently a lot of funding for research in identification. Therefore you will find a large group of people that might be available for discussion and collaboration.

Supervisor:

Theses in Progress

Zero-error capacity for multi-user channels with feedback

Keywords:
zero-error capacity, multi-user

Description

In this project the student should calculate the zero-error capacity for 

a multi-user model with feedback.

Prerequisites

Information theory

Supervisor:

Student

Gesong Xia

Theses Completed

2022

Bachelor's Theses

  • 26.09.2022 Nour Oueslati
    Language Evolution
    Supervisor: Christian Deppe
  • 01.09.2022
    Quantum repeaters based on NV centers in diamond, trapped ions/atmos and quantum dots
    Supervisor: Christian Deppe, Vladlen Galetsky

Master's Theses

  • 26.09.2022 Ark Kumar Modi
    Quantum and classical k means clustering with stereographic projections
    Supervisor: Christian Deppe, Roberto Ferrara
  • 01.06.2022 Ark Kumar Modi
    Quantum Clustering in Fibre Communication Systems
    Supervisor: Christian Deppe, Roberto Ferrara

2021

Research Internships (Forschungspraxis)

  • 05.05.2021 Ludwig Lohmer
    Community Aware Group Testing
    Supervisor: Christian Deppe

2020

Bachelor's Theses

  • 23.11.2020 Wael Torjmene
    Coding Strategy for the Z-channel with noiseless feedback
    Supervisor: Christian Deppe
  • 01.10.2020 Xinru Dou
    Unidirectional errors with noiseless feedback
    Supervisor: Christian Deppe
  • 18.06.2020 Leander Köhler
    Implemantation of an Error Correcting Code with Limited Magnitude for Finite Blocklength
    Supervisor: Christian Deppe

Master's Theses

  • 04.06.2020 Sencer Derebeyo?lu
    Construction of Identification Codes
    Supervisor: Christian Deppe

Research Internships (Forschungspraxis)

  • 08.09.2020 Johannes Rosenberger
    Identification for semi arbitratily varying broadcast channel
    Supervisor: Christian Deppe

2019

Bachelor's Theses

  • 02.12.2019 Reza Khasbullah
    Quantum Games - Description and Simulation of CHSH Game
    Supervisor: Christian Deppe
  • 23.10.2019 Mohamed Berrahal
    Realization of Identification codes
    Supervisor: Christian Deppe
  • 23.10.2019 Mattia Spandri
    Source Identification
    Supervisor: Christian Deppe
  • 01.10.2019 Marcel Tri-Tai Chu
    Quantum Key Distribution
    Supervisor: Christian Deppe

Master's Theses

  • 12.06.2019 Wafa Labidi
    Secure Identification for Gaussian Channels
    Supervisor: Christian Deppe

2018

Bachelor's Theses

  • 26.11.2018 Kevin Tong Yan
    Ternary Error-Correcting Codes with partial feedback
    Supervisor: Christian Deppe
  • 26.11.2018 Tobias Sukianto
    Error-Correcting Codes with partial feedback
    Supervisor: Christian Deppe