An assistant professor at Virginia Tech has received a $450,000 grant to research cyber security. Danfeng “Daphne” Yao, assistant professor of computer science at Virginia Tech received the grant from the Office of Naval Research. The three-year grant will help Yao detect abnormalities in Department of Defense computers, mobile devices, command and control servers, and embedded systems in hopes to decrease cyber attacks and cyber espionage.
Here is the press release from Virginia Tech.
BLACKSBURG, Va., March 20, 2013 – Danfeng “Daphne” Yao, assistant professor of computer science in the College of Engineering at Virginia Tech, has received a three-year, $450,000 grant from the Office of Naval Research (ONR) for research on cyber security.
Specifically, Yao will quantitatively detect anomalies in Department of Defense (DOD) computers, mobile devices, command and control servers, and embedded systems.
Cyber attacks and cyber espionage represent a top threat against the U.S., according to the intelligence community.
“Hopefully, the results from this project will not only solve urgent cyber security problems, but also have long-term impact,” said Yao, originally of Tianjin, China. “For immediate applicability, we will produce tools for system assurance, enabling cyber defenders to identify clandestine computer activities that should not happen. Our quantitative assurance modeling capability will advance the science of security. It will inspire the security community to produce more permanent solutions.”
In order to detect anomalies that might suggest a breach in cyber security, an observer must understand the intended behaviors of computer systems and programs. Once they are understood, then appropriate actions can then be taken, allowing attacks on hardware/software to be thwarted. However, complications arise because program and system behaviors are diverse and often unpredictable.
Yao’s research focus has been on this methodology development for novel, practical, and quantitative anomaly detection. Specifically, she is analyzing causal relations of events and producing instructions for detecting anomalies in computer programs, systems, and networks.
“Research models indicate how complex software systems should behave; the model is then used to predict whether a running system is functioning properly or compromised by attackers,” said Yao. “The advantages are two-fold: early detection and the ability to detect previously unreported attacks. Our technical approach is unique in that it is backed up by a rigorous quantitative foundation and current experiments have already confirmed accurate predictions.”
Using real-time quantified system assurance, Yao will compute what is called an accurate system assurance index. This index is the planned and systematic set of activities that assure systems engineering processes and products will conform to systems requirements for safety and reliability. It also reflects the likelihood of each system event occurring according to the intended software program behaviors.
In 2010, Yao was awarded $530,000 National Science Foundation Faculty Early Career Development (CAREER) grant to develop software that differentiates human-user computer interaction from malware.
Most recently in November of 2012, she received a Best Paper Award at the International Conference on Network Protocols (ICNP), a premier computer networking conference. She collaborated with researchers at the Chinese Academy of Sciences and Michigan State University inspecting network traffic for security. With her collaborators, Yao found parallels between the natural language processing and network traffic analysis, and experimentally demonstrated the accuracy of data mining methods used with large-scale datasets.
The researcher received her undergraduate degree in chemistry from Peking University (China), in 1998, followed by a master’s degree in chemistry from Princeton University in 2000. Yao received a master’s from Indiana University in 2002 and a doctoral degree from Brown University, both in the computer science field. Prior to joining the Virginia Tech community in 2009, she was an assistant professor at Rutgers University’s computer science department for two years.
“The department is proud that Dr. Yao’s research in user-based anomaly detection to identify malware will be supported by this new, substantial grant from the Office of Naval Research,” said Barbara Ryder, the J. Byron Maupin Professor of Engineering and head of the Department of Computer Science. “The funding will positively impact Dr. Yao’s active research group of seven doctoral students and several undergraduate researchers.”
The ONR, an executive branch within the DOD, executes and promotes science and technology programs of the U.S. Navy and Marine Corps through partnerships with schools, universities, government laboratories, and nonprofit and for-profit organizations. More than 50 researchers have won a Nobel Prize for their ONR-funded work.
The College of Engineering at Virginia Tech is internationally recognized for its excellence in 14 engineering disciplines and computer science. The college’s 6,000 undergraduates benefit from an innovative curriculum that provides a “hands-on, minds-on” approach to engineering education, complementing classroom instruction with two unique design-and-build facilities and a strong Cooperative Education Program. With more than 50 research centers and numerous laboratories, the college offers its 2,000 graduate students opportunities in advanced fields of study such as biomedical engineering, state-of-the-art microelectronics, and nanotechnology. Virginia Tech, the most comprehensive university in Virginia, is dedicated to quality, innovation, and results to the commonwealth, the nation, and the world.