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 and intrusion detection.
**Looking for a full-time position job in security and machine-learning engineering!**
[11/2017] I present our rewriting work for Mobile Apps at CCS FEAST Dallas TX.
[8/2017] We plan to file a patent for our internship work in RSA laboratories!
[5/2017] I passed my prelim exam in May-12-2017. A milestone!
[1/2016-6/2016] A visiting student in UCSD, San Deigo, CA. A wonderful place for tourism!
[10/2015] Check our current achievement on rewriting a malware behavior! [YouTube]
Enforcing Cyber-Physical Execution Semantics to Defend Against Data-Oriented Attacks. Long Cheng, Ke Tian, and Danfeng Yao. In Proceedings of Annual Computer Security Applications Conference (ACSAC). Puerto Rico, US. Dec. 2017.
ReDroid: Prioritizing Data Flows and Sinks for App Security Transformation. Ke Tian, Gang Tan, Danfeng Yao, and Barbara Ryder. In Proceedings of workshop on Forming an Ecosystem Around Software Transformation (FEAST). Collocated with the ACM Computer and Communications Security (CCS). Dallas, TX. Nov. 2017.
Breaking the Target: An Analysis of Target Data Breach and Lessons Learned Shu, Xiaokui, Ke Tian, Andrew Ciambrone and Danfeng Yao. In arXiv preprint arXiv:1701.04940. Jan, 2017.
Analysis of Code Heterogeneity for High-Precision Classification of Repackaged Malware. Ke Tian, Danfeng Yao, Barbara Ryder, and Gang Tan. In Proceedings of Mobile Security Technologies (MoST), in conjunction with the IEEE Symposium on Security and Privacy. San Jose, CA. May 2016.
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 and Development Intern at Qualcomm Research, Silicon 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
Prof Gang Tan, School of Electrical and Computer Engineering, PSU
Prof Barbara G. Ryder, Department of Computer Science, Virginia Tech
Prof Naren Ramakrishnan, Department of Computer Science, Virginia Tech
Prof Na Meng, Department of Computer Science, Virginia Tech