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
25 september 2018
Majid Nateghizad, Thijs Veugen, Zekeriya Erkin and Reginald L. Lagendijk were nominated for the best paper award in ARES 2018 for their work titled “Secure Equality Testing Protocols in the Two-Party Setting.”
17 september 2018
ENCS Helps Organize 4TU Cyber Security Week
Last week, ENCS welcomed 23 students from TU Delft and UTwente to Cyber Security Week in Amsterdam, hosted in collaboration with Netbeheer Nederland. The week provided the students with insight into the energy sector’s cyber security challenges, engaging them in practical exercises and talks by cyber-security experts from energy companies and government.
03 september 2018
ENCS Welcomes Students To Energy Cyber Security Week
What does the energy transition mean for cyber security? What effect on security will widespread electric vehicles have? Do you have what it takes to defend a SCADA system from attack?
21 augustus 2018
A Slam for Cybersecurity@TU Delft
This year has been the most successful year for TU Delft’s Cybersecurity group so far, and marks the first year in which the group was able to place a paper in every single one of the Big Four.
20 augustus 2018
Simple human errors often cause cyber security breaches
A company leaking private data of millions of customers, or becoming a victim of cyber-attacks costing hundreds of thousands to millions of Euros has become an almost daily occurrence, in what seems to be highly sophisticated attacks. “When investigating these attacks more closely however, they are actually often not sophisticated, and neither are the vulnerabilities that lead to them,” says Tobias Fiebig, assistant professor at TPM and leading researcher.
17 augustus 2018
Eerste grootschalige marktanalyse ondergrondse cybercrime economie
Cybercriminaliteit wordt makkelijker naarmate meer producten (‘commodities’) als kwaadaardige software via het dark web verkrijgbaar zijn. Rolf van Wegberg van de TU Delft onderzocht de omzet en groei van deze ondergrondse online economie.
18 juni 2018
35th Annual Assembly of the Croatian Academy of Engineering in Zagreb
On May 21 in Zagreb, the 35th Annual General Assembly of the Croatian Academy of Engineering (HATZ) was held.
13 juni 2018
Paper presentation at ASIACCS 2018 marks the first success of TU Delft and SUTD collaboration on Cyber Security
Qin Lin had the honour to present ), in presence of SUTD professor Aditya Mathur, the paper “TABOR: A Graphical Model Based Approach for Anomaly Detection in Industrial Control Systems” at the ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018.
07 juni 2018
TU Delft bouwt mee aan een digitale identiteit voor op de telefoon
Naast je paspoort en rijbewijs, ook een toepassing op je telefoon, waarmee je snel en veilig je identiteit kunt aantonen met nog meer privacy-mogelijkheden. TU Delft heeft - samen met de Rijksdienst voor Identiteitsgegevens (RvIG), een onderdeel van het Ministerie van Binnenlandse Zaken en Koninkrijksrelaties (BZK), IDEMIA (de huidige producent van Nederlandse paspoorten) en advocatenkantoor CMS, en binnen het verband van de Dutch Blockchain Coalition - een eerste prototype ontwikkeld voor een digitaal stempel dat deze functie op termijn mogelijk kan vervullen. Deze digitale identiteit is gebaseerd op Delftse innovatieve blockchain-technologie, de zogenaamde Trustchain. Het prototype is gedemonstreerd tijdens een BZK-bijeenkomst op 7 juni. Na de zomer gaat in twee gemeenten een gebruikersproef met deze techniek van start.
15 mei 2018
Lecture on the basics of Machine Learning for the School of Architecture of NXP’s Business Unit Security & Connectivity
On April 10, Stjepan Picek gave a lecture on the basics of Machine Learning for the School of Architecture of NXP’s Business Unit Security & Connectivity. In his lecture he discussed artificial intelligence and machine learning and more in-depth about applications to security domain. The audience were senior technical engineers from almost all parts of the world with in total 27 participants from US, India, China, Brazil, Austria, Romania, France, The Netherlands and Germany.