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.

Research area

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.


Research activities
The research activities are organized around our faculty members.

Computational Privacy

We research the protection of (privacy and/or commercially) sensitive data using cryptographic tools. This includes research on blockchain: fundamental research around consensus algorithms, leadership selection, cryptographic building blocks and smart contracts.

Machine Learning

We 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.


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

Vacancy Assistant or Associate Professor in Security of Machine Learning

We are looking for a specialist on the interface of cybersecurity and machine learning who contributes to creating more robust methods for machine learning.

22 maart 2020

Vacancy Assistant or Associate Professor in Network Security

We are looking for a specialist in modern network security, who also can contribute to practical cybersecurity approaches such as capturing the flag and processing large scale network data sets to complement our existing expertise in research and education.

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

Azqa Nadeem has been nominated for TU Delft Best Graduate 2019

15 oktober 2019

4TU.Federation NIRICT registration support for Master of Science students in the Netherlands

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.

03 september 2019

Victory at the Robust Malware Detection Challenge

Our team won both tracks of the Robust Malware Detection Challenge hosted by the Adversarial Machine Learning Workshop at KDD 2019.

26 augustus 2019


Last week, researchers from TU Delft presented 3 papers at the Usenix security symposium.