The Cybersecurity group conducts research into various topics, ranging from cryptography to data analytics, and focuses on improving cybersecurity. We aim to make – in particular the digital – world safer by furthering state-of-the-art computer science theories, algorithms, and implementations.
In privacy, we develop advanced methods for homomorphic encryption and multi-party computing with application in data sharing and blockchain. In hardware, we use machine learning to develop new attack mechanisms for side-channel analysis, and evolutionary algorithms to create improved hardware designs. In networking, we build crawlers and fuzzers to collect big data sets that give us an overview of the latest security threats. In software, we develop new algorithms for automated reverse engineering or analysis of applications.
We develop solutions that contribute to the very latest technology in the fields of computer security and artificial intelligence (AI). Examples include the development of learning algorithms that can handle large network data flows, deep learning methods that are immune to common side-channel defenses, machine learning algorithms that can operate on encrypted data, and analysis of the latest security threats. We aim to publish our results in scientific journal and conferences of A and A* quality, and to transfer our scientific know-how and technologies to students, and our public and private partners in the field of cybersecurity.
We are responsible for cybersecurity education at B.Sc. and M.Sc. level in the computer science program. Since 2013, a specialization program on cybersecurity exists within the master program in Computer Science. We closely collaborate in teaching, student supervision and research with other groups within Computer Science (such as Software Engineering, Distributed Systems, and Delft Blockchain lab), and in particular with our colleagues in the Cybersecurity group at the Faculty of Technology, Policy and Management through the Computer Science special program Cybersecurity, and the Executive Master program Cybersecurity.
Collaborations with external organizations are essential for education and research in cybersecurity. The cybersecurity group has an extensive network of public and private partnerships, which in many cases provide us with use cases, cybersecurity data, and financial support. Our research and education can therefore be characterized as being use-inspired and fundamental, ranging from developing new security and AI algorithms to engaging with real use cases of our partners.
The research activities are organized around our faculty members.
Machine LearningWe develop new machine learning technology, in particular, state machine learning with applications in cybersecurity and software engineering. Our machine learning solutions are interpretable and useful for tasks other than prediction, such as analysis, optimization, control, and verification.
09 March 2021
New EU's Horizon 2020 grant
We are pleased to announce that the project "artificial Intelligence threat Reporting and Incident response System” (IRIS) has been recently granted under the EU's Horizon 2020 research and innovation programme.
10 November 2020
Corona-proof introduction of Executive Master Program Cyber Security
On November, 6th there was a live introduction of the Executive Master Program Cyber Security. The introduction took place in corona-proof studios of Leiden University. The academic executive master’s programme Cyber Security is multidisciplinary; the programme covers technological as well as legal, administrative, economic and psychological aspects of digital security.
19 October 2020
Uitnodiging HSD Café: AI, Security en Ethiek - donderdag 29 oktober 2020
De snelle ontwikkelingen in Kunstmatige Intelligentie hebben grote economische en maatschappelijke gevolgen voor de toekomst. Effectief samenwerken wordt de sleutel tot optimaal gebruik van AI. Waar staan we nu?
01 October 2020
Importance of directing cybersecurity research in The Netherlands
28 September 2020
Cyber Security Next Generation 6th annual workshop on November 27, 2020
15 September 2020
Test of Time Award for CYS paper
Toon Calders and Sicco Verwer received the Test of Time Award for their paper 'Three naive Bayes approaches for discrimination-free classification'.
09 September 2020
Apostolis Zarras will join CYS as of November 1, 2020
11 May 2020
The Information Forensics and Security Technical Committee: Then, Now, and in the Future
The Information Forensics and Security Technical Committee (IFS-TC) is one of the 13 TCs in the IEEE Signal Processing Society (SPS). Its overarching mission is to foster and lead scientific and technological development in all aspects related to forensics and security in our society.
05 April 2020
Number of bitcoins captured from exchange hacks are decreasing
22 March 2020