
Explore the complex relationship between public cloud services and critical infrastructure, examining case studies and security implications for interdependent systems.

Explores the expanding threat landscape of wireless and mobile devices, highlighting vulnerabilities in IoT and BYOD policies. Demonstrates new attack vectors and proposes updated defense strategies.

Explores the challenges of securing inter-service communication in micro-service architectures, highlighting potential vulnerabilities and system failures due to poor certificate implementation practices.

Explore vulnerabilities in medical devices and healthcare systems, revealing potential risks to patient safety through a three-year research project on direct attack vectors.

Unveiling Downfall attacks: new transient execution vulnerabilities exploiting gather instructions on x86 CPUs, compromising security across various computing environments and defeating existing defenses.

Real-time method for identifying attack sources on vehicle networks, enhancing cybersecurity through error handling and sequential ECU inspection. Robust against environmental changes and attacker evasion.

Explores vulnerabilities in microVM-based containers, demonstrating operation forwarding attacks that can break isolation, exploit host kernel vulnerabilities, and exhaust resources on public cloud platforms.

Explore a novel system for transparent, privacy-preserving data services. Learn about TAP's tree structure, zero-knowledge proofs, and verifiable operations, addressing limitations in existing approaches.

Análisis de seguridad del protocolo de voto electrónico utilizado en las elecciones legislativas francesas de 2022, revelando vulnerabilidades, proponiendo soluciones y extrayendo lecciones para futuras implementaciones.

Explores security risks of over-privileged cloud credentials in mobile apps, revealing potential data attacks and new threat vectors through analysis of 1.3 million apps across major cloud platforms.

Innovative defense strategy against bit-flip attacks in neural networks using "honey neurons" to lure attackers, enabling efficient detection and model recovery in safety-critical AI applications.

Explore robust asynchronous Dynamic-committee Proactive Secret Sharing (DPSS) protocols that handle network churn and faults efficiently, with insights on high-threshold DPSS and batch-amortized schemes.

Scalable framework for secure two-party GBDT training on vertically split datasets, featuring novel cryptographic techniques for privacy-preserving machine learning in distributed environments.

Explore side-channel vulnerabilities in Chrome's password leak detection, revealing potential risks to user privacy and security through microarchitectural attacks on cryptographic implementations.

Explore VulChecker, a tool for precise vulnerability detection in source code using graph-based neural networks. Learn about its innovative approach to locating and classifying security flaws.

Explore DScope, a scalable cloud-based Internet telescope for monitoring malicious behavior. Learn about its design, implementation, and advantages over traditional methods in capturing cloud-targeting traffic.

Innovative system for compact storage using homomorphic encryption, addressing high storage overhead while maintaining data confidentiality. Demonstrates practical performance in multi-cloud environments.

Exploring methodological challenges and best practices for conducting security research with visually impaired users, focusing on browser warning experiences and potential improvements.

Explores vulnerability in EMV credit card transactions, demonstrating how offline authentication failures can be exploited to bypass PIN verification for high-value Mastercard payments using an Android app.

Explore IoTMediator: a system for detecting and handling interaction threats in complex smart home environments with multiple platforms and control channels.

Practical attacks on Go Ethereum synchronization revealed, allowing adversaries to manipulate blockchain consensus and potentially profit through off-chain trading and code execution on Ethereum forks.