I am a Ph.D. candidate in Computer Science at Virginia Tech. My advisor is Dr. Danfeng (Daphne) Yao. Before I came to VT, I completed my Bachelor's Degree in Information Security from University of Science and Technology of China in 2013.
My research interests focus mainly on leveraging Program Analysis and Machine Learning techniques to address Cyber Security challenges. My work focuses on detecting Android malware with machine learning and app prioritization/rewriting. Additional research interests consist of anomaly detection, malware detection.
 I am seeking an intern position in security research. See my Resume for more info.
[10/2016] My current project is focused on applying NLP techniques for Android application rewriting.
[1/2016-6/2016] A visiting student in UCSD, San Deigo, CA.
[10/2015] Check our current achievement on rewriting a malware behavior! [YouTube]
A Sharper Sense of Self: Probabilistic Reasoning of Program Behaviors for Anomaly Detection
Kui Xu, Ke Tian, Danfeng Yao, and Barbara Ryder
In Proceedings of the 46th IEEE/IFIP International Conference on Dependable System and Networks (DSN). Toulouse, France. 2016.
Poster: Android-Application Rewriting with Quantitative Information Flow Analysis.
Ke Tian, Danfeng(Daphne) Yao, Gang Tan
In Proceedings of The Network and Distributed System Security Symposium (NDSS). San Diego, CA. 2016.
Probabilistic Program Modeling for High-Precision Anomaly Classification
Kui Xu, Danfeng Yao, Barbara Ryder, and Ke Tian.
In Proceedings of the 2015 IEEE Computer Security Foundations Symposium (CSF). Verona, Italy. Jul. 2015.
An Efficient Multi-keyword Ranked Retrieval Scheme with Johnson-Lindenstrauss Transform over Encrypted Cloud Data
Ke Li, Weiming Zhang, Ke Tian, Rundong Liu, and Nenghai Yu.
In Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on, pp. 320-327. IEEE, 2013.
Collusion Attack Implementation by Retrofitting Android Apps, Lance Chao, Ke Tian, Danfeng (Daphne) Yao, VTURCS Spring Symposium 2015. [PDF]
IntrospectDroid: Scalable, Efficient Detection of Repackaged Malware in Android with Call Graph Analysis, Zack Morris, Ke Tian, and Danfeng (Daphne) Yao, VTURCS Spring Symposium 2014. [PDF]
June. 2016 - Aug 2016: Research Intern at Qualcomm Research, Sillicon Valley (QRSV), San Clara, CA
DR-Droid: Android malware detection tool with graph mining and machine learning. [Python] [github]
CS-STILO: Statically initialized Hidden Markov Model (HMM) for program anonaly detection. [Java/C] [github]
AutoRun: Automatic running Apps with events on Android. [Python] [github]
Security: Advanced Security(A), Crypotography, Network Security, DataBase Security, etc.
Math: Random Process(A), Discrete Math(A), Graph Theory(A), Comp. Number Theory, Information Theory, etc.
Others: Machine Learning, Data Analytics(A), Program Analysis(A), Software Engineering(A), Algorithms, etc
*(A) means the A grade for the course
Journal reviewer: TDSC, TIFS, Computer Security etc.
Conference reviewer: CCS, ACSAC, AsiaCCS, CNS, CloudCom, etc.
Email: ketian at vt.edu | ketian at cs.vt.edu
Affiliation: Department of Computer Science, Virginia Tech
Address: B41, 2202 Kraft Drive, KnowledgeWork II, Blacksburg, VA 24060