Skip to main content

Coding for Security and DNA Storage

Objective

Communication and data storage systems are indispensable parts of our every-day life. However, these systems deal with severe challenges in security and reliability. Security is important whenever a user communicates or stores sensitive data, e.g., medical information; reliability has to be guaranteed to be able to transmit or store information while noise occurs. Algebraic codes (ACs) are a powerful means to achieve both.

Within inCREASE, I will construct and evaluate special codes for security applications and DNA storage.
The tasks are structured into three work packages: (1) post-quantum secure code-based cryptosystems, (2) secure key regeneration based on ACs, (3) ACs for DNA-based storage systems. The focus of inCREASE
lies on innovative theoretical concepts.

The goal of work package (1) is to investigate and design code-based cryptosystems; one promising idea is to apply insertion/deletion correcting codes. The security of these systems will be analysed from two points of view: structural attacks on the algorithms and hardware implementations with side-channel attacks.

Secure cryptographic key regeneration is the goal of (2) and can be achieved by physical unclonable functions (PUFs). Here, ACs are necessary to reproduce the key reliably. This project will study the error patterns that occur in PUFs, model them theoretically, and design suitable coding schemes.

The investigation on (3) will start with a study of the data of existing DNA storage systems. The outcome will be an error model that will include insertions, deletions, substitutions, and duplications. Therefore, inCREASE will design ACs for these error types. This will be especially challenging regarding the mathematical concepts. These codes will be evaluated by simulations and using data sets of DNA storage systems.

This project is high risk/high gain with impact not only to storage and security, but to the methodology as well as other areas such as communications.

Call for proposal

ERC-2018-STG
See other projects for this call

Funding Scheme

ERC-STG - Starting Grant
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Host institution

TECHNISCHE UNIVERSITAET MUENCHEN
Address
Arcisstrasse 21
80333 Muenchen
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 471 750

Beneficiaries (1)

TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 1 471 750
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments