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.
Computational PrivacyWe 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 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.
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
Vacancy Assistant or Associate Professor in Security of Machine Learning
22 March 2020
Vacancy Assistant or Associate Professor in Network Security
22 March 2020
Dr. Kaitai Liang joins Cyber Security Delft
27 February 2020
IEEE Open Journal on Signal Processing
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
05 November 2019
Azqa Nadeem has been nominated for TU Delft Best Graduate 2019
15 October 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.