at the Faculty of Electrical Engineering, Mathematics, and Computer Science
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.
Secure Data Sharing and IntelligenceSharing privacy sensitive or commercially valuable data for improving existing services and creating new ones is essential. While doing so, it is also vital to not leak personal information about individuals. To achieve this goal, we research solutions based on Privacy Enhancing Technologies.
01 oktober 2020
Importance of directing cybersecurity research in The Netherlands
The Dutch cybersecurity platform for higher education and research (dcypher) was founded in April 2016, with the goal of setting and coordinating scientific and applied cybersecurity research and higher education in The Netherlands. However, as of October 2020, dcypher, as we know it, will no longer exist and the future remains unknown as it is not clear what a post-dcypher era will look like.
28 september 2020
Cyber Security Next Generation 6th annual workshop on November 27, 2020
Cyber Security Next Generation is organizing its 6th annual workshop for PhD and MSc students to present and discuss their work with peers. The workshop is meant as a platform for young cybersecurity researchers from all fields to meet new (and old) colleagues, and share ideas.
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
Dr. Apostolis Zarras, currently an assistant professor at Maastricht University, will join the cyber security group at EEMCS as of November 1, 2020.
11 mei 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
The numbers of bitcoins captured from exchange hacks are decreasing over the years. Cryptocurrencies are also less likely to go bankrupt than they used to be. These are conclusions from a study by Kris Oosthoek, researcher of cybersecurity at TU Delft, discussed in the BNR CryptoCast of April 2,2020.
22 maart 2020
Dr. Kaitai Liang joins Cyber Security Delft
Dr. Kaitai Liang, currently assistant professor at the University of Surrey (UK), will join the cyber security group at EEMCS as of August 1, 2020.
27 februari 2020
IEEE Open Journal on Signal Processing
Zeki would like to invite you all to consider sending your work for the papers around privacy enhancing technologies.
12 december 2019
The 11th edition of IEEE International Workshop on Information Forensics and Security took place at Science Center between December 9 and 12
We gladly announce that 4TU.Federation Netherlands Institute for Research on ICT (NIRICT) is supporting IEEE Workshop on Information Forensics and Security to be held in Delft, December 9-12.
05 november 2019
Azqa Nadeem has been nominated for TU Delft Best Graduate 2019