Jiyong Jang
Jiyong Jang
Research Scientist, IBM Research
Verified email at us.ibm.com - Homepage
Cited by
Cited by
Bitshred: feature hashing malware for scalable triage and semantic analysis
J Jang, D Brumley, S Venkataraman
Proceedings of the 18th ACM conference on Computer and communications …, 2011
ReDeBug: finding unpatched code clones in entire os distributions
J Jang, A Agrawal, D Brumley
2012 IEEE Symposium on Security and Privacy, 48-62, 2012
ReDeBug: Finding Unpatched Code Clones in Entire OS Distributions
J Jang, M Woo, D Brumley
USENIX ;login:, 2012
Protecting intellectual property of deep neural networks with watermarking
J Zhang, Z Gu, J Jang, H Wu, MP Stoecklin, H Huang, I Molloy
Proceedings of the 2018 on Asia Conference on Computer and Communications …, 2018
The Dropper Effect: Insights into Malware Distribution with Downloader Graph Analytics
BJ Kwon, J Mondal, J Jang, L Bilge, T Dumitras
ACM Conference on Computer and Communications Security, 2015
SplitScreen: Enabling efficient, distributed malware detection
SK Cha, I Moraru, J Jang, J Truelove, D Brumley, DG Andersen
Journal of Communications and Networks 13 (2), 187-200, 2011
SplitScreen: Enabling Efficient, Distributed Malware Detection
SK Cha, I Moraru, J Jang, J Truelove, D Brumley, DG Andersen
USENIX Symposium on Networked Systems Design and Implementation, 2010
Towards automatic software lineage inference
J Jang, M Woo, D Brumley
22nd {USENIX} Security Symposium ({USENIX} Security 13), 81-96, 2013
Experimental Study of Fuzzy Hashing in Malware Clustering Analysis
Y Li, SC Sundaramurthy, AG Bardas, X Ou, D Caragea, X Hu, J Jang
Workshop on Cyber Security Experimentation and Test, 2015
A time-based key management protocol for wireless sensor networks
J Jang, T Kwon, J Song
International Conference on Information Security Practice and Experience …, 2007
A Time-based Key Management Protocol for Wireless Sensor Networks
J Jang
Yonsei University, 2007
Android malware clustering through malicious payload mining
Y Li, J Jang, X Hu, X Ou
International symposium on research in attacks, intrusions, and defenses …, 2017
Detecting malicious exploit kits using tree-based similarity searches
T Taylor, X Hu, T Wang, J Jang, MP Stoecklin, F Monrose, R Sailer
proceedings of the Sixth ACM Conference on Data and Application Security and …, 2016
Bitshred: Fast, scalable malware triage
J Jang, D Brumley, S Venkataraman
Cylab, Carnegie Mellon University, Pittsburgh, PA, Technical Report CMU …, 2010
Threat intelligence computing
X Shu, F Araujo, DL Schales, MP Stoecklin, J Jang, H Huang, JR Rao
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
Detecting web exploit kits by tree-based structural similarity search
X Hu, J Jang, F Monrose, MP Stoecklin, T Taylor, T Wang
US Patent 9,723,016, 2017
Identifying malicious web infrastructures
X Hu, J Jang, T Wang, J Zhang
US Patent 9,578,042, 2017
Bitshred: Fast, scalable code reuse detection in binary code
J Jang, D Brumley, S Venkataraman
CMU-CyLab-10-006 16, 2009
BotMeter: Charting DGA-botnet landscapes in large networks
T Wang, X Hu, J Jang, S Ji, M Stoecklin, T Taylor
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
FCCE: Highly Scalable Distributed Feature Collection and Correlation Engine for Low Latency Big Data Analytics
D Schales, X Hu, J Jang, R Sailer, M Stoecklin, T Wang
IEEE International Conference on Data Engineering, 2015
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