The UCL Crypto Group gathers some twenty researchers with backgrounds from microelectronics, telecommunications, computer science and mathematics.
This wide diversity of knowledge allowed the group to develop a strong expertise in cryptography but also in its applications to various security related issues, including physical attacks and countermeasures on hardware devices (smart-cards, FPGAs, ASICs), efficient implementation of cryptosystems, design and analysis of cryptosystems and protocols, elliptic curve and identity based cryptography, formal foundations of cryptography, zero-knowledge identification, privacy enhancing technologies, voting systems, spam analysis, etc.
Through strong commitment to academic research (more than 150 international publications since 2004) and its numerous collaborations with industrial partners, the UCL Crypto Group is intensively involved in the evolution of security technology, including the design of the next generation of smart-cards, sensor networks, privacy preserving systems, etc.
- Thomas Peters receives the IBM Innovation Award 2015 for his PhD thesis.
- Cryptographic Key Length Recommendation: http://www.keylength.com/
- The Safeonweb initiative by CERT.be
Benoit Libert, Thomas Peters, and Chen Qian. Structure-Preserving Chosen-Ciphertext Security With Shorter Verifiable Ciphertexts, In Serge Fehr, editor(s), Public-Key Cryptography -- PKC'17, Lecture Notes in Computer Science, Spinger, March 2017, To appear BibTeX
Dina Heidar Kamel, Guerric de Streel, Santos Merino Del Pozo, Kashif Nawaz, François-Xavier Standaert, Denis Flandre, and David Bol. Towards Securing Low-Power Digital Circuits with Ultra-Low-Voltage Vdd Randomizers, In C. Carlet and A. Hasan and V. Saraswat, editor(s), Security, Privacy, and Applied Cryptography Engineering - 6th International Conference, SPACE 2016, Hyderabad, India, December 14-18, 2016, Proceedings, Lecture Notes in Computer Science, Springer, December 2016, to appear BibTeX
Francesco Berti, and François-Xavier Standaert. An Analysis of the Learning Parity with Noise Assumption Against Fault Attacks, In Springer, editor(s), Lecture Notes in Computer Science, Springer, November 2016 BibTeX