
Explores vulnerabilities in DNP3, a key SCADA protocol for power systems, revealing design flaws and implementation gaps. Discusses fuzzing results, CVEs, and analyzes the protocol's security addendum.

Explore data-driven cybersecurity challenges and solutions with expert Dan Geer in this IEEE symposium keynote, addressing the complexities of modern digital threats and defenses.

Explores protocol state machines and session languages in security, discussing specification, implementation, and testing challenges. Proposes automated inference of formal specifications to improve security.

Explores how compiler optimizations can preserve functionality but violate security guarantees, proposing research to identify and mitigate security errors introduced during optimization.

Explores timing vulnerabilities in x86 floating-point operations, demonstrating practical attacks on Firefox and a privacy-focused database. Introduces a constant-time math library as a potential mitigation.

Innovative algorithm maximizes bug detection in black-box mutational fuzzing by leveraging symbolic analysis to optimize mutation ratios, resulting in 38.6% more bugs found across 8 applications.

Quantifying harm from typosquatting using intent inference. New metrics and methodology reveal average time cost to users and traffic loss for legitimate sites. Some typosquatters unexpectedly improve latency.

Innovative method for identifying vulnerabilities across different CPU architectures using bug signatures and semantic analysis of binary code, enabling effective security assessments of closed-source software.

Explore formally verified tag-based security monitors for low-level policies. Learn about dynamic sealing, compartmentalization, control-flow integrity, and memory safety implementation.

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.