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.
29 januari 2018
TU versterkt banden met cyber security-wereld
Twee Delftse cyber security-onderzoekers werken sinds kort intern bij het Delftse Fox-IT. Zo hebben ze structureler toegang tot data van het beveiligingsbedrijf en kan de toenemende stroom studenten er gemakkelijker binnenkomen voor afstudeeronderzoek. Hun eerste drie studenten gaan nu beginnen.
15 januari 2018
Afstudeeronderzoekers TU Delft vinden vaste thuisbasis bij Fox-IT
Afstudeeronderzoekers van de TU Delft wisten altijd al hun weg te vinden naar beveiligingsbedrijf Fox-IT maar sinds kort hebben de Delftse ‘buren’ de intentie uitgesproken hun samenwerking verder te intensiveren. Vanuit een gezamenlijk perspectief; ‘samenwerken aan een veiligere digitale samenleving, en het bedenken van innovatieve oplossingen in cyber security’ hebben de TU Delft en Fox een gezamelijke onderzoeksagenda opgesteld. Door onderzoekers van de TU Delft een vaste plek in het bedrijf te geven kan er gedegen maar vlot en zonder (veiligheids)belemmeringen gewerkt worden aan gezamenlijke onderzoeksprojecten.
11 januari 2018
Research Paper Tobias Fiebig about security risks of Domain-Validated Certificates
Assistant professor Tobias Fiebig from the ESS department recently published a research paper in which a new procedural way to reduce the risks of Domain-Validated Certificates is presented. The paper called ‘Cloud Strife: Mitigating the Security Risks of Domain-Validated Certificates’ was co-written with scientists from amongst others University of California.
15 december 2017
20 november 2017
DSyS open call for joint research proposals on cyber security won by the 3ME/EWI team
The DSyS open call for joint research proposals on cyber security has been won by the 3ME/EWI team members Dr. Tamas Keviczky, Dr. Zekeriya Erkin and Mr. Lakshminarayanan Nandakumar.
30 oktober 2017
Keynote "Blockchain: A Disruptive Technology with its Limitations”
Dr. Zeki Erkin was invited to give a keynote in the 51st International Carnahan Conference on Security Technology in Madrid Spain on “Blockchain: A Disruptive Technology with its Limitations.”
27 oktober 2017
Leon Helsloot is selected and has the best master thesis of EEMCS
We are very happy to inform you that the MSc thesis of Leon Helsloot, who received his MSc degree in August 2017 with a final grade of 9.5
26 oktober 2017
Sjors Hijgenaar receives a 9.5 for his thesis: "A Decentralised Energy Trading Architecture for Future Smart Grid Load Balancing"
Former master student Sjors Hijgenaar, supervised by Z. Erkin and received 9.5 for his thesis, presented his work “A Decentralised Energy Trading Architecture for Future Smart Grid Load Balancing”
25 oktober 2017
It is also open access week at TU Delft
TU Delft Prof Pieter Hartel, associate editor of the Springer Open Access journal Crime Science reports that: * Crime Science is amongst the most read journals of the entire Springer journal collection in Criminology. * Open access papers have more impact. For Crime Science 30% of the papers have been read at least 4,000 times and 10% of the papers have been read at least 10,000 times. * More and more funding agencies require open access publication.
20 oktober 2017
DSys - Cybersecurity @ TU Delft festive meetup
About 35 researchers from different disciplines within Cyber Security @ TU Delft came together to discuss future collaboration and learn about the do’s and don’ts of entrepreneurship in the field.