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Ileana BuhanView profile

Assistant Professor

• Hardware Security
• Cryptography
• Side-Channel Attacks
• +3 more

Ileana Buhan is an Assistant Professor at Radboud University Nijmegen's Digital Security Group and a member of the CESCA Lab. Her research focuses on hardware security, particularly advancing tools for secure hardware design and mitigating side-channel vulnerabilities. She previously held roles at Riscure (2011–2020) as a security evaluation manager and product manager, and at Philips Research (2008–2010) as a senior scientist. She earned her Ph.D. in Cryptography with Noisy Data from the University of Twente in 2008, recognized with the 2008 EBF European Biometrics Research Industry Award. Her work emphasizes practical security evaluation methods, automated leakage modeling (e.g., ABBY tool), and hardware-software co-design for resistance against side-channel attacks. She actively contributes to conferences like CHES, FDTC, and CARDIS, often in program committee roles. Recent invited talks include topics such as AI-driven vulnerability prediction, architecture-level simulators for root cause analysis, and automated tools for cryptographic implementation security. Her research spans RISC-V processors, microarchitecture analysis, and the intersection of machine learning with hardware security. Notable contributions include frameworks for leakage detection, fault simulation, and explainable side-channel analysis. She balances academic rigor with industry relevance, aiming to bridge gaps between theoretical security and real-world implementation challenges.

• Cybersecurity
• Network Security
• Mobile Application Security
• +4 more

Prof. Dr. Zoran Đurić is a full professor at the Faculty of Electrical Engineering, University of Banja Luka, specializing in computer science and informatics. He focuses on cybersecurity, network security, and secure communication protocols. His research includes cryptographic protocols like CryptoCloak, intrusion detection systems, mobile application security, and payment system architectures such as FEIPS. He leads projects like the 'Predictive Model Development' funded by NLB Banka and collaborates with institutions like the City of Banja Luka on IT modernization. Đurić has authored textbooks including Network and Distributed Programming and Java Programming , and has published extensively in journals like Computer Networks and Advances in Electrical and Computer Engineering . Educations: Not explicitly listed in text but inferred through academic rank and publications. Research Trends: Over 20 years of work focuses on practical security solutions for modern systems, including Android vulnerabilities, steganography, and adaptive streaming security. Grants/Projects: Active in EU-funded projects (e.g., 'Resilience Against Emerging Cyber Threats') and industry collaborations (e.g., NLB Banka). Labs/Teams: Head of research groups focused on cyber defense, secure payment systems, and software security tools.

• Cybersecurity
• Digital Rights Management
• Internet of Things Security
• +5 more

Eva Rodríguez is an Associate Professor in the Department of Network Engineering at Pompeu Fabra University's School of Engineering, specializing in cybersecurity, digital rights management, and IoT security. With over 50 publications since 2003, she has established herself as a leading researcher in secure network architectures and privacy-preserving technologies. Her research focuses on applying machine learning techniques to cybersecurity challenges, particularly in mobile and IoT environments. Rodríguez has published extensively on deep learning for intrusion detection, privacy protection mechanisms, and security frameworks for next-generation networks (5G/6G). She has also made significant contributions to RISC-V processor security through the Horizon Europe Vitamin-V project. Recent work shows a strong emphasis on federated learning approaches for privacy preservation in fog computing environments and the development of security management architectures for resilient wireless ecosystems. Her publication record demonstrates consistent leadership in both theoretical frameworks and practical implementations of security solutions. Among her notable contributions are comprehensive surveys on deep learning techniques for mobile network security and machine learning methods for IoT privacy protection, which have become important references in these rapidly evolving fields. As a research supervisor, she has mentored several doctoral students including Norma Gutiérrez and Beatriz Otero, who now appear as co-authors on her recent publications. Her collaborative work extends across multiple European research projects, demonstrating strong integration within the international cybersecurity research community.

Kerstin Lemke-RustView profile

Professor

• Cryptography
• Embedded Systems Security
• Blockchain Technology
• +4 more

Prof. Dr. Kerstin Lemke-Rust is a Professor at the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences (H-BRS) and a key member of the Institute for Cyber Security and Privacy (ICSP). Her affiliations include leadership roles in the Gesellschaft für Informatik (GI) and the International Organisation for Cryptologic Research (IACR). Her research spans: Cryptographic algorithm security (side-channel/fault analysis) Blockchain and IoT security Automotive cybersecurity Hardware vulnerability detection She teaches courses in IT Security, Applied Cryptography, and Embedded Systems across bachelor’s and master’s programs. Recent publications (2021-2025) focus on blockchain privacy, side-channel attacks, and hardware security, reflecting her emphasis on real-world cryptographic vulnerabilities. She leads research initiatives at ICSP and collaborates internationally on cybersecurity projects.