Associate Professor at Virginia Tech
Friday, October 12, 2018
11:15am - 12:15pm
2150 Torgersen Hall
The purpose of this talk is to introduce the newly established trustworthy cyberspace lab (tClab), which is part of the Department of Computer Science's program in the National Capital Region (NCR). We are studying a variety of research topics with the aim of making cyberspace secure and trustworthy. To this end, we take highly multidisciplinary approaches, including game theories, social and behavioral theories, network theories, belief/decision theories, and learning theories (e.g., cognitive and machine learning).
I will discuss three key topic areas based on the main ideas of developed mechanisms and their experimental results addressed in my recent related publications:
- Active Defense Systems: This research aims to develop active defense systems in terms of moving target defense (MTD) and defensive cyberdeception techniques. MTD is to increase confusion and uncertainty for attackers by dynamically changing attack surface. Similarly, defensive cyberdeception has been used to thwart or confuse attackers by actively deceiving the attackers (e.g., honeypots or honeynets) and/or disseminate fake information which can substantially hinder the attacker's strategies to collect useful information towards the given system. As the techniques to build active defense systems, various types of MTD and cyberdeception techniques have been developed in the state-of-the-art approaches. In this research, we aim to develop adaptive, scalable, and affordable MTD / deception techniques that can meet the required levels of system performance and security while offering affordable defense cost allowed by resource-constrained system environments. We take highly multidisciplinary approaches such as network theories and/or game theoretic approaches to develop those active defense systems.
- Trust-based Privacy and Security: This research adopts the multidisciplinary concept of trust to develop trust models for communication networks as well as social networks. Trust metrics / models are developed to consider unique characteristics of a given network (e.g., mobile ad hoc networks, wireless sensor networks, delay tolerant networks, Internet-of-Things) and used to develop a variety of network security applications, including access control, secure routing, key management, and task assignment / service computing mechanisms.
- Decision Making with Uncertain Opinions: This research investigates how uncertain opinion can affect decision performance. We first investigated the multidimensional concept of uncertainty based on its root causes. In particular, we looked at how a subjective opinion can be formulated based on different causes of uncertainty. We used the formulation of Subjective Logic (SL) to enhance its current form. Another direction of this research is to maximize decision performance by leveraging machine learning (or deep learning) algorithms in inferring unknown opinions in the presence of corrupted, false information.
Dr. Jin-Hee Cho received the MS and PhD degrees in computer science from Virginia Tech in 2004 and 2008, respectively. She joined the Department of Computer Science (NCR Campus) as an Associate Profess in Fall 2018. She previously worked as a computer scientist at the U.S. Army Research Laboratory (USARL), Adelphi, Maryland. Dr. Cho has published over 88 peer-reviewed technical papers in leading journals and conferences in the areas of trust management, cybersecurity, metrics and measurements, network performance analysis, resource allocation, agent-based modeling, uncertainty reasoning and analysis, information fusion / credibility, and social network analysis. She has been actively involved with ARL’s collaborative research programs and collaborated with US academia, industry, and government researchers. In addition, Dr. Cho is actively collaborating with international research partners in academia and government through various international research programs under the US Department of Defense, including UK, Canada, Australia, New Zealand, Singapore, Norway, and South Korea. She received the best paper awards in IEEE TrustCom’2009, BRIMS’2013, IEEE GLOBECOM’2017, and 2017 ARL’s publication award. She is a winner of the 2015 IEEE Communications Society William R. Bennett Prize in the Field of Communications Networking. In 2016, Dr. Cho was selected for the 2013 Presidential Early Career Award for Scientists and Engineers (PECASE), which is the highest honor bestowed by the US government on outstanding scientists and engineers in the early stages of their independent research careers. She is a senior member of the IEEE and a member of the ACM.