Cybersecurity
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.
Education
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.
News
17 april 2023
Paving the way for secure and private financial crime detection
A team of TU Delft, University of Tacoma and University of Brasília wins second prize in US & UK governments' international Privacy Enhancing Technologies competition
17 april 2023
Paving the way for secure and private financial crime detection
A team of TU Delft, University of Tacoma and University of Brasília wins second prize in US & UK governments' international Privacy Enhancing Technologies competition
17 april 2023
Verifiable Machine Unlearning: Was I really forgotten?
TU Delft Cyber Security group welcomed a distinguished guest from University of Melbourne, Dr. Olya Ohrimenko on April 14. Dr Ohrimenko gave a talk on Verifiable Machine Learning and had discussions with various group member for joint research opportunities.
28 maart 2023
The Cybersecurity Group @ EEMCS Hosts a Meetup for Women in Cybersecurity
The Cybersecurity group at TU Delft collaborated with WICCA (Women in Cybersecurity Community Association), to host a meetup on "Cybersecurity in the Age of Artificial Intelligence" on March 27, 2023. The overarching theme of the discussions was how academia and industry can help each other to improve our defense capabilities.
13 maart 2023
Dr. Stjepan Picek receives the best paper award at NDSS'23
The paper "DARWIN: Survival of the Fittest Fuzzing Mutators" co-authored by Dr. Stjepan Picek (Cyber Security group), received Distinguished Paper Award at NDSS'23!
30 januari 2023
Presentation by distinguished speaker Prof. Krishna Gummadi
We will be hosting a distinguished guest, Prof. Krishna Gummadi (Max Planck Institute for Software Systems, Germany).
18 januari 2023
Zekeriya Erkin appointed board member at ACCSS.
Dr. Z. Erkin was appointed as a board member for ACCSS. He will act as vice-chair as of December 2022. ACCSS (pronounced as ‘access’ and short for ACademic Cyber Security Society), is the association for scientists who are active in the field of cybersecurity in the Netherlands, both in the natural sciences as well as from the alpha and gamma sciences.
10 januari 2023
Zekeriya Erkin chosen as chair of IEEE Information Forensics and Security Technical Committee
The TC’s responsibility is to promote activities around information forensics and security. The TC has significant role in IEEE ICIP, ICASSP and W-IFS and IEEE Trans on IFS, which is the top journal in the field.
12 december 2022
Prof. Georgios Smaragdakis was named ACM Distinguished Member
Prof. Georgios Smaragdakis, head of the Cybersecurity Section, was named Association for Computing Machinery (ACM) Distinguished Member for "Outstanding Scientific Contributions to Computing". The ACM Distinguished Member program recognizes each year "ACM members with at least fifteen years of professional experience who have made significant accomplishments or achieved a significant impact on the computing field".
01 december 2022
Prof. Ahmad-Reza Sadeghi (TU Darmstadt) gives a Cybersecurity Distinguished talk on Secure Federated Learning
Prof. Ahmad-Reza Sadeghi from TU Darmstadt, Germany visited TU Delft Cybersecurity group on November 30, 2022, the "International Computer Security Day" and gave a Cybersecurity Distinguished talk on Secure Federated Learning. Title: "Pushing the Frontiers of Federated Learning: From Security Applications to Mitigation of Poisoning Attack.”