
Longitudinal study analyzing run-time packers' complexity and evolution, proposing a taxonomy for measurement and presenting statistics on packer structures used in malware obfuscation.

Explores security vulnerabilities in popular web-based single sign-on systems, uncovering critical flaws that allow unauthorized access to user accounts on major platforms.

Explore efficient threshold ECDSA using pseudorandom correlation generators, reducing bandwidth requirements for secure distributed signing protocols.

Explore advanced techniques for detecting memory corruptions using structure-aware and object-centric approaches, enhancing software security and reliability.

Explore GREBE, a tool for assessing Linux kernel bug exploitability. Learn about its methodology, implementation, and effectiveness in identifying high-risk vulnerabilities.

Explore innovative techniques to enhance Tor network performance through multi-hop overlay routing, reducing latency and improving user experience while maintaining anonymity.

Explore innovative function secret-sharing techniques for building a private time-series database, enhancing data security and confidentiality in distributed systems.

Explore innovative techniques for secure multi-party computation, focusing on public accountability and robustness in distributed systems and cryptographic protocols.

Explore advanced flow correlation attacks on Tor using metric learning and amplification techniques, enhancing network security understanding and defense strategies.

Explore a randomized control trial on source address validation deployment by network operators, examining effectiveness and implications for cybersecurity practices.

Explore illicit cryptomining on CI platforms: understanding attack methods, impacts, and mitigation strategies to protect DevOps environments from unauthorized resource exploitation.

Uncover vulnerabilities in Android systems through advanced exploitation techniques, focusing on critical weaknesses that can compromise device security and user data.

Explore innovative acoustic eavesdropping techniques using accelerometers, uncovering potential security vulnerabilities in everyday devices and discussing implications for privacy protection.

Explore dynamic proactive secret sharing for confidential Byzantine Fault Tolerant services, enhancing security in distributed systems with innovative techniques.

Explore how unprivileged software can modulate electromagnetic noise, affecting emission security. Discover potential implications for data protection and system vulnerabilities.

Explore innovative device fingerprinting techniques using peripheral timestamps, enhancing cybersecurity and digital identity verification in modern computing environments.

Uncover critical flaws in IEEE 1735 implementations for IP protection, exploring industry-wide vulnerabilities and their implications for hardware security.

Explore vulnerabilities in embedded trusted execution architectures and learn about potential security gaps in provably secure systems.

Explore techniques to reduce attack surfaces in embedded device drivers through IRQ debloating, binary analysis, and fuzzing. Learn about challenges, implementation, and evaluation methods.

Explore a novel technique to enhance neural network security through class distance hardening, improving model robustness against adversarial attacks and ensuring more reliable AI systems.

Explore techniques for extracting sensitive information from inductive graph neural networks, examining vulnerabilities and potential countermeasures in this cutting-edge cybersecurity research.