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Web application demonstrating lattice-based cryptography
 Sečkár, Martin ; Jedlička, Petr (oponent) ; Ricci, Sara (vedoucí práce)
The aim of this thesis is to develop and implement a web application demonstrating lattice-based cryptography. The application was developed using mainly the Python programming language and Docker container platform. More specifically, the modules utilize the Bokeh library and custom JavaScript functionality expanding the Bokeh library. The modules are hosted on a Flask server where the background calculations are being computed using numPy library. The application contains three modules describing the closest vector problem, learning with errors problem and the Boyen cryptographic protocol based on the latter problem. Users are able to visualize two dimensional lattices and perform selected computations. The codebase is easily expandable and can serve as a learning platform. The thesis also includes installation and user manual.
Úplný záznam
Secure Two-Party Computation for weak Boneh-Boyen Signature
 Sečkár, M. ; Ricci, S.
Secure two-party computation allows two entities to securely calculate a common result keeping their private inputs secret. By applying this to the weak Boneh-Boyen signature, a trusted third party is able to sign the user’s message (or a secret key) without knowing its content (or value). In this article, we present a C library that implements a two-party computation algorithm for generating a user’s secret key that can be used in a group signature scheme. The library provides a structured output ready to be serialized and sent over a network. We also show the computational benchmarks of the implemented algorithms. The computations on the sender’s side are relatively fast, which broadens the possibilities of deployment on constrained devices.
Úplný záznam
Web application demonstrating lattice-based cryptography
 Sečkár, Martin ; Jedlička, Petr (oponent) ; Ricci, Sara (vedoucí práce)
The aim of this thesis is to develop and implement a web application demonstrating lattice-based cryptography. The application was developed using mainly the Python programming language and Docker container platform. More specifically, the modules utilize the Bokeh library and custom JavaScript functionality expanding the Bokeh library. The modules are hosted on a Flask server where the background calculations are being computed using numPy library. The application contains three modules describing the closest vector problem, learning with errors problem and the Boyen cryptographic protocol based on the latter problem. Users are able to visualize two dimensional lattices and perform selected computations. The codebase is easily expandable and can serve as a learning platform. The thesis also includes installation and user manual.
Úplný záznam

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