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Cyber Security Webinar by Roland Kromes MSc - Modeling a low-power IoT architecture for Blockchain and Smart Contract applications

Cyber Security Webinar by Roland Kromes MSc - Modeling a low-power IoT architecture for Blockchain and Smart Contract applications 23 November 2021 12:00 till 12:45 - Location: Zoom meeting Join Zoom Meeting https://tudelft.zoom.us/j/93459336716?pwd=VFk4N3dCQTF2TUlHYnBLejk0dFVPUT09 Meeting ID: 934 5933 6716 Passcode: 389654 Abstract Nowadays, most IoT applications are based on a centralized system in which all of the system participants have to rely on a central entity. In such a system, data immutability, data traceability, and transparency cannot be provided. Blockchain technology is an entirely decentralized system in which the third trusted party (central entity) is removed. Contrarily to centralized systems, blockchain technology provides data immutability, traceability, and transparency. Most modern blockchains also allow the deployment of smart contracts, which are digital programs that can be read by all participants and executed automatically according to an event on the blockchain. These advantageous features of blockchain technology show a clear interest in the integration of IoT with blockchain technology. The contribution's main objectives are the study of the integration possibilities of IoT with blockchain technology and the development of a model of dedicated low-power-consumption IoT hardware architecture that enables communication with multiple types of blockchain. The proposed blockchain APIs (Ethereum, Hyperledger Sawtooth) are written in C++. These APIs can create valid transactions. The IoT architecture model's CPU is emulated with QEMU and the dedicated cryptographic hardware accelerators are modeled in SystemC-TLM high-level hardware description language. As QEMU and SystemC-TLM work on different time environments, they must be synchronized by a co-simulation platform. The CPU of the proposed IoT architecture executes a Linux Operating System, which runs blockchain APIs. These APIs cannot have direct access to the hardware accelerators. In order to handle access to the hardware accelerators and the orchestration of dedicated power management, Linux Kernel device drivers were developed. The results represent that a significant reduction of the overall energy consumption can be achieved when the elliptic curve point multiplication and hash operations are hardware accelerated. Bio I am Roland Kromes, a PhD candidate at the Université Côte d'Azur in the Electronics, Antennas and Telecommunications Laboratory (LEAT-CNRS). In January, I will join the Cybersecurity group at Delft University of Technology as a postdoctoral researcher. I obtained my diploma in Electronics, Systems and Telecommunications with the specialty of embedded systems at the Université Côte d'Azur. My thesis focuses on the possibilities of IoT integration with Blockchain technology and the modeling of a specific low power IoT architecture for Blockchain and Smart Contract applications. This thesis is part of the Smart IoT for Mobility multidisciplinary project (ANR-National Agency for Research) in which I could also work on acceptability issues of Blockchain technology with fellow management researchers. My research interests: Blockchain, IoT, applied cryptography, secure data sharing.

Cyber Security Webinar by Dr. Yunpeng Li - Uncertainty quantification and propagation in high-dimensional spaces

Cyber Security Webinar by Dr. Yunpeng Li - Uncertainty quantification and propagation in high-dimensional spaces 28 September 2021 12:00 till 12:45 - Location: Zoom meeting Join Zoom Meeting https://tudelft.zoom.us/j/99314357068 Meeting ID: 993 1435 7068 Passcode: 678062 Abstract: Deep learning models, which are cornerstones in the success of modern machine learning applications, often lack representation of uncertainty or produce overconfident predictions that can lead to costly consequences. The optimal transport theory has found it application in quantifying uncertainty in large-scale machine learning problems by measuring the Wasserstein distance between data distributions. Separately, for real-world sequential inference applications, differentiable filters provided a mathematically principled framework to propagate model uncertainty. This talk will hence be divided into two parts. In the first part, I will discuss a new family of slice-based Wasserstein distance metrics, called augmented sliced Wasserstein distances (ASWDs), with a novel incorporation of injective neural networks. ASWDs learns nonlinear projections that can capture the complex structure of the data distributions which improve their projection efficiency. In the second part, I will discuss our recent efforts in constructing more expressive dynamic model and proposal distributions in the differentiable particle filtering framework through normalizing flow. In addition, I will introduce an end-to-end learning objective based upon the maximisation of a pseudo-likelihood function which can improve the estimation of states when large portion of groundtruth information are unknown. Bio: Dr Yunpeng Li is Senior Lecturer in Artificial Intelligence in the Department of Computer Science at the University of Surrey in the UK. Before joining Surrey as a Lecturer in AI in 2018, he was a postdoctoral researcher in the Machine Learning Research Group in the Department of Engineering Science at the University of Oxford and was a Junior Research Fellow at Wolfson College at Oxford. He received a PhD in Electrical Engineering at the McGill University in Canada in 2017. His research interests are in the areas of statistical machine learning and signal processing, particularly Bayesian inference techniques and the optimal transport theory. He has broad interests in applications of machine learning, e.g. breast cancer detection, dental disease detection, and environment acoustic sensing. His work has won the best paper award in the NeurlPS Workshop on Machine Learning for Developing World in 2018 and 2019.

Cyber Security Webinar by Martin Fejrskov MSc - Using NetFlow to measure the impact of deploying DNS-based blacklists

Cyber Security Webinar by Martin Fejrskov MSc - Using NetFlow to measure the impact of deploying DNS-based blacklists 12 October 2021 12:00 till 12:45 - Location: Zoom meeting Join Zoom Meeting https://tudelft.zoom.us/j/95465881342 Meeting ID: 954 6588 1342 Passcode: 808322 Abstract To prevent user exposure to a wide range of cyber security threats, organizations and companies often resort to deploying blacklists in DNS resolvers or DNS firewalls. The impact of such a deployment is often measured by comparing the coverage of individual blacklists, by counting the number of blocked DNS requests, or by counting the number of flows redirected to a benign web page that contains a warning to the user. This paper suggests an alternative to this by using NetFlow data to measure the effect of a DNS-based blacklist deployment. Our findings suggest that only 38-40\% of blacklisted flows are web traffic. Furthermore, the paper analyzes the flows blacklisted by IP address, and it is shown that the majority of these are potentially benign, such as flows towards a web server hosting both benign and malicious sites. Finally, the flows blacklisted by domain name are categorized as either spam or malware, and it is shown that less than 6\% are considered malicious. Short bio: Martin Fejrskov is an Industrial Ph.D. student at Telenor Denmark and Aalborg University focusing on detecting cybersecurity threats with data from Internet Service Providers. Prior to the Ph.D. studies, he was a Solution Architect at Telenor Denmark, focusing on security services and the national backbone network. Before that he was a Product Manager at the Danish company formerly known as ETI A/S, heading the development and architecture of one of the core products. He received his Master of Science from Aalborg University in 2005 with excellent grades, studying primarily within the fields of network protocols, traffic analysis and security.

Cyber Security Webinar by Dr. Shihui Fu of the University of Waterloo - Transparent Succinct Zero-Knowledge Arguments for R1CS with Efficient Verifier

Cyber Security Webinar by Dr. Shihui Fu of the University of Waterloo - Transparent Succinct Zero-Knowledge Arguments for R1CS with Efficient Verifier 09 November 2021 12:00 till 12:45 - Location: Zoom meeting Join Zoom Meeting https://tudelft.zoom.us/j/95108026354?pwd=RVhXS3EwQjIyZnVzNk1ScWNzQmtTdz09 Meeting ID: 951 0802 6354 Passcode: 378365 Abstract We propose Polaris, a zkSNARK with quasi-linear prover time and both polylogarithmic proof size and verification time in the size of the arithmetic circuit representing the statement. By instantiating with different commitment schemes, we obtain several zkSNARKs where the verifier's costs and the proof size range from $O(\log^2{N})$ to $O(\sqrt{N})$ depending on the underlying polynomial commitment schemes. All these schemes do not require a trusted setup. It is plausibly post-quantum secure when instantiated with a secure collision-resistant hash function. Our experimental evaluation demonstrates that Polaris offers a much lower verification time than Ligero and Aurora for instances with large sizes as we reduce the complexity from linear to polylogarithmic. Short bio Shihui Fu received his Ph.D. degree in Mathematics from Academy of Mathematics and Systems Science, CAS in 2018. Currently, he is a post-doc in University of Waterloo. His main research interests include cryptographic protocols and zero-knowledge proof.

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A key solution to grid congestion

On behalf of the TU Delft PowerWeb Institute, researchers Kenneth Brunninx and Simon Tindemans are handing over a Position Paper to the Dutch Parliament on 14 November 2024, with a possible solution to the major grid capacity problems that are increasingly cropping up in the Netherlands. The Netherlands is unlikely to meet the 2030 climate targets, and one of the reasons for this is that large industry cannot switch to electricity fast enough, partly because of increasingly frequent problems around grid capacity and grid congestion. In all likelihood, those problems will actually increase this decade before they can decrease, the researchers argue. The solution offered by the TU Delft PowerWeb Institute researchers is the ‘flexible backstop’. With a flexible backstop, the current capacity of the power grid can be used more efficiently without sacrificing safety or reliability. A flexible backstop is a safety mechanism that automatically and quickly reduces the amount of electricity that an electric unit can draw from the grid (an electric charging station or a heat pump) or deliver (a PV installation). It is a small device connected or built into an electrical unit, such as a charging station or heat pump, that ‘communicates’ with the distribution network operator. In case of extreme stress on the network, the network operator sends a signal to the device to limit the amount of power. Germany recently introduced a similar system with electric charging stations. The backstop would be activated only in periods of acute congestion problems and could help prevent the last resort measure, which is cutting off electricity to users. ‘Upgrading the electricity network remains essential, but in practice it will take years. So there is a need for short-term solutions that can be integrated into long-term planning. We, the members of the TU Delft PowerWeb Institute, call on the government, network operators and regulator to explore the flexible backstop as an additional grid security measure,’ they said. The entire Paper can be read here . Kenneth Brunninx Associate Professor at the Faculty of Engineering, Governance and Management, where he uses quantitative models to evaluate energy policy and market design with the aim of reducing CO2 emissions. Simon Tindemans is Associate Professor in the Intelligent Electrical Power Grids group at Faculty of Electrical Engineering, Mathematics and Computer Science. His research interests include uncertainty and risk management for power grids. TU Delft PowerWeb Institute is a community of researchers who are investigating how to make renewable energy systems reliable, future proof and accessible to everyone.

25 year celebration of formal collaboration between Delft University of Technology and the University of Campinas

On 25 October 2024 we celebrated 25 years of formal collaboration between Delft University of Technology and the University of Campinas. What began as a project to exchange some students in chemical engineering has now grown to a multifaceted and broad academic collaboration which accumulated into 24 joint research projects (>20 M Euro); 16 advanced courses and 15 Doctors with a Dual Degree PhD. Patricia Osseweijer, TU Delft Ambassador Brazil explained, “We are proud to show and reflect on this special day the added value we created resulting from our joint activities. The lessons we learned demonstrate that especially continuity of funds and availability for exchanges has contributed to joint motivation and building trust which created strong relations. This is the foundation for academic creativity and high-level achievements.” The program presented showcases of Dual Degree projects; research activities and education. It discussed the future objectives and new fields of attention and agree on the next steps to maintain and strengthen the foundation of strong relations. Telma Franco, Professor UNICAMP shared that “joint education and research has substantially benefitted the students, we see that back in the jobs they landed in,” while UNICAMP’s Professor Gustavo Paim Valenca confirmed that “we are keen to extend our collaboration to more engineering disciplines to contribute jointly to global challenges” Luuk van der Wielen highlighted that “UNICAMP and TU Delft provide valuable complementary expertise as well as infrastructures to accelerate research and innovation. Especially our joint efforts in public private partnerships brings great assets” To ensure our future activities both University Boards have launched a unique joint program for international academic leadership. This unique 7-month program will accommodate 12 young professors, 6 from each university. The programme began on 4 November 2024 in Delft, The Netherlands.

Christmas lunch

Take part in a festive lunch with MoTiv, TU Delft Studentenraad en TU Delft ESA This holiday season, MoTiv, TU Delft, and the local Delft churches are bringing together homes and students for a special, heartwarming experience, and we would love for you to be part of it! After three successful years, we’re excited to continue this festive tradition, bridging cultures and creating connections. Are you interested in joining a holiday lunch as a guest , along with other international students, in a welcoming Delft-area home? Or perhaps you’d like to open your home as a host , sharing a warm, cultural celebration with students from around the world? This special event will take place from December 23rd to December 31st, between 12:00 and 15:00 . For Guests : If you’d like to participate as a guest, we’ll match you with a local host eager to share their holiday traditions. You’ll enjoy delicious dishes, laughter, and meaningful conversations, creating memories that feel like home, even far from family. Once matched, we’ll connect you with your host so you can coordinate details and meal plans together. Sign up as a guest in this google forms.(https://forms.gle/yLAqE83DcqWGwcKB8) For Hosts : If you’re interested in hosting, this is a wonderful opportunity to welcome students into your home for a memorable meal. By sharing food, stories, and perhaps even a few games, you’ll help make the season brighter for students eager to experience Dutch hospitality and holiday traditions. Sign up as a host in this google forms.( https://forms.gle/bJB5svxJZ1iTSF1c6 ) For any questions, feel free to reach out to us at motiv.connects@gmail.com. For more information, please visit our website at www.motiv.tudelft.nl/christmas-lunch-delft/ . Thank you for making this holiday season unforgettable. We look forward to celebrating with you! Warm regards, MoTiv, TU Delft Student Council, TU Delft ESA - Student Community Team