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Sergey BratusView profile

Associate Professor

• Cybersecurity
• Exploitation techniques
• Rootkit/Bootkit analysis
• +7 more

Sergey Bratus is an Associate Professor of Computer Science and Dartmouth College Distinguished Professor in Cyber Security, Technology, and Society. He holds a Ph.D. in Mathematics from Northeastern University. His primary affiliation is the Department of Computer Science at Dartmouth College. Bratus' research focuses on cybersecurity fundamentals, including Unix/Linux kernel security, software verification, malware analysis, and reverse engineering at kernel/firmware levels. He emphasizes connecting hacking practices to core computer science principles, advocating for 'weird machines' research and language-theoretic security (LangSec). He taught courses like Basics of Cyber Exploitation, Programming Languages, and Network Security Readings. His work includes DARPA-funded research programs in cybersecurity resilience and critical software sustainment. Notable projects include fragroute/fragrouter tools for network traffic manipulation and contributions to passive covert channel analysis. Labs/Teams: Active in Dartmouth's cybersecurity research groups, affiliated with LangSec initiatives and the 'Weird Machines' research collective. Maintains a personal website with extensive technical resources and course materials.

Yang XuView profile

Research Professor

• Software-Defined Networking
• Data Center Networks
• High-Speed Networks
• +9 more

Yang Xu is a Research Professor in the Department of Electrical and Computer Engineering at the New York University Tandon School of Engineering. He previously served as a Visiting Assistant Professor at NYU-Poly (2007-2008) and holds a Ph.D. in Computer Science and Technology from Tsinghua University (2007), a Master of Science in Computer Science and Technology from Tsinghua University (2003), and a Bachelor of Engineering from Beijing University of Posts and Telecommunications (2001). Ph.D. (2007): Tsinghua University, Computer Science and Technology M.Sc. (2003): Tsinghua University, Computer Science and Technology B.Eng. (2001): Beijing University of Posts and Telecommunications His research focuses on network security, software-defined networks, high-speed networking, and hardware security. Key interests include developing solutions for data center networks, mitigating malware and rootkit threats using hardware performance counters, and evaluating side-channel vulnerabilities in FPGAs. He explores the dual impact of machine learning in hardware security, balancing its benefits and risks. His work also addresses cybersecurity challenges in industrial control systems. Dr. Xu’s recent articles highlight advancements in leveraging hardware resources for security, such as HPC-based malware detectors and signature-based ROP detection systems. His research trends emphasize practical cybersecurity transitions, embedded system security, and FPGA vulnerability assessments. No scientific awards or grants are explicitly listed in the provided text. He advises no current students, but his research has influenced embedded, firmware, and network security domains. He is affiliated with the High Speed Networking Lab , which specializes in data center network solutions and security tools. His office is located at 10.069 (2 MetroTech Center, 10th Floor), and he can be reached at yang@nyu.edu or (646) 997-3153.

• Cybersecurity
• Network Security
• IT Security Testing
• +3 more

Christian Schanes is a PostDoc Researcher at TU Wien's Department of Business Informatics. He holds a Dipl.-Ing. degree and a Dr.techn. from TU Wien, with a PhD titled 'Scope and depth efficient testing approach and framework for enhancing the detection of IT security bugs' (2013). His research focuses on cybersecurity, network security, automated security testing, and secure communication protocols. He teaches the course 'Introduction to Security' (2024W) and has supervised multiple graduate theses, including works on cybersecurity awareness, automated testing frameworks, and VoIP security. His research interests span IT security testing, data privacy, and vulnerability analysis in systems like VoIP and mobile payment frameworks. He has pioneered methodologies for automated security testing using machine learning and system behavior modeling. His work often addresses real-world threats, such as TLS vulnerabilities and honeynet-based attack analysis. Schanes has co-authored over 30 peer-reviewed publications, emphasizing practical solutions to cybersecurity challenges. Notable contributions include studies on mobile kernel subversion via TrustZone rootkits and large-scale VoIP threat analysis using honeynets. His research bridges theoretical frameworks with applied security solutions, impacting both academic and industry practices.