With an ever-increasing number of devices connected to the Internet, cybersecurity remains an important issue. Privacy and security in the digital world are established with cryptographic primitives, some of which are quite old and even weak.
In particular, older digital signatures typically rely on the broken hash functions MD5 and SHA-1, allowing signature forgeries to be made. Our counter-cryptanalytic techniques allow such forgeries to be detected in real-time, though at a computational cost. The challenges for cyber security are to ensure that the cryptographic primitives used are secure even against nation-state attackers and/or quantum computers, and to improve the efficiency of counter-cryptanalytic techniques.
By expanding the cryptanalytic toolbox with improved techniques and quantum algorithms, we can better assess mathematical weaknesses in current cryptographic systems, improve our digital signature forgery-detection algorithms, and also derive better design criteria for new cryptographic systems. Implementing practical attacks and presenting realistic attack scenarios will have a stronger and wider impact on the industry.
Our research aims to deliver efficient digital signature forgery detection algorithms, state-of-the-art security assessments of deployed and/or proposed cryptographic systems, as well as designing new candidate cryptographic standards that are secure against quantum attackers. Research results can be applied to a broad range of scientific and industrial investigations.