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2020 – today
- 2024
[c25]Kunal Mukherjee
, Joshua Wiedemeier, Qi Wang, Junpei Kamimura, Junghwan John Rhee, James Wei, Zhichun Li, Xiao Yu, Lu-An Tang, Jiaping Gui, Kangkook Jee:
ProvIoT : Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security. ACNS (3) 2024: 241-268- 2023
- [j2]Khandakar Ashrafi Akbar, Yigong Wang, Gbadebo Ayoade, Yang Gao, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham, Kangkook Jee:
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 3957-3969 (2023) - [c24]Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel:
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG 2023: 30 - [c23]Chengen Wang, Yan Zhou, Kangkook Jee, Murat Kantarcioglu:
An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy. TPS-ISA 2023: 169-176 - [c22]Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, James Wei, Feng Chen, Muhyun Kim, Murat Kantarcioglu, Kangkook Jee:
Evading Provenance-Based ML Detectors with Adversarial System Actions. USENIX Security Symposium 2023: 1199-1216 - [c21]Hyungseok Kim, Soomin Kim, Junoh Lee, Kangkook Jee, Sang Kil Cha:
Reassembly is Hard: A Reflection on Challenges and Strategies. USENIX Security Symposium 2023: 1469-1486 - [i5]Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, Muhyun Kim, Feng Chen, Murat Kantarcioglu, Kangkook Jee:
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features. CoRR abs/2306.00934 (2023) - 2022
- [c20]Pengcheng Fang, Peng Gao, Changlin Liu, Erman Ayday, Kangkook Jee, Ting Wang, Yanfang (Fanny) Ye, Zhuotao Liu, Xusheng Xiao:
Back-Propagating System Dependency Impact for Attack Investigation. USENIX Security Symposium 2022: 2461-2478 - 2021
- [c19]Yue Li, Zhenyu Wu, Haining Wang, Kun Sun, Zhichun Li, Kangkook Jee, Junghwan Rhee, Haifeng Chen:
UTrack: Enterprise User Tracking Based on OS-Level Audit Logs. CODASPY 2021: 161-172 - [c18]Peng Fei, Zhou Li, Zhiying Wang, Xiao Yu, Ding Li, Kangkook Jee:
SEAL: Storage-efficient Causality Analysis on Enterprise Logs with Query-friendly Compression. USENIX Security Symposium 2021: 2987-3004 - 2020
- [c17]Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates:
This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. ACSAC 2020: 165-178 - [c16]Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal:
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS 2020: 1-9 - [c15]Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pärn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, Prateek Mittal:
Detecting Malware Injection with Program-DNS Behavior. EuroS&P 2020: 552-568 - [c14]Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen:
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE 2020: 1701-1712 - [c13]Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal:
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE 2020: 1774-1777 - [c12]Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020
2010 – 2019
- 2019
- [j1]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. 12(12): 1802-1805 (2019) - [c11]Wajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, Adam Bates:
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. NDSS 2019 - [c10]Suphannee Sivakorn, Kangkook Jee, Yixin Sun, Lauri Korts-Pärn, Zhichun Li, Cristian Lumezanu, Zhenyu Wu, Lu-An Tang, Ding Li:
Countering Malicious Processes with Process-DNS Association. NDSS 2019 - [i4]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR abs/1903.08159 (2019) - 2018
- [c9]Yutao Tang, Ding Li, Zhichun Li, Mu Zhang, Kangkook Jee, Xusheng Xiao, Zhenyu Wu, Junghwan Rhee, Fengyuan Xu, Qun Li:
NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis. CCS 2018: 1324-1337 - [c8]Yushan Liu, Mu Zhang, Ding Li, Kangkook Jee, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Prateek Mittal:
Towards a Timely Causality Analysis for Enterprise Security. NDSS 2018 - [c7]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium 2018: 639-656 - [i3]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. CoRR abs/1806.02290 (2018) - [i2]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. CoRR abs/1806.09339 (2018) - [i1]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query Tool for Efficiently Investigating Risky Software Behaviors. CoRR abs/1810.03464 (2018) - 2016
- [c6]Zhang Xu, Zhenyu Wu, Zhichun Li, Kangkook Jee, Junghwan Rhee, Xusheng Xiao, Fengyuan Xu, Haining Wang, Guofei Jiang:
High Fidelity Data Reduction for Big Data Security Dependency Analyses. CCS 2016: 504-516 - 2015
- [b1]Kangkook Jee:
On Efficiency and Accuracy of Data Flow Tracking Systems. Columbia University, USA, 2015 - 2014
- [c5]Marios Pomonis, Theofilos Petsios, Kangkook Jee, Michalis Polychronakis, Angelos D. Keromytis:
IntFlow: improving the accuracy of arithmetic error detection using information flow tracking. ACSAC 2014: 416-425 - 2013
- [c4]Kangkook Jee, Vasileios P. Kemerlis, Angelos D. Keromytis, Georgios Portokalidis:
ShadowReplica: efficient parallelization of dynamic data flow tracking. CCS 2013: 235-246 - 2012
- [c3]Kangkook Jee, Georgios Portokalidis, Vasileios P. Kemerlis, Soumyadeep Ghosh, David I. August, Angelos D. Keromytis:
A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware. NDSS 2012 - [c2]Vasileios P. Kemerlis, Georgios Portokalidis, Kangkook Jee, Angelos D. Keromytis:
libdft: practical dynamic data flow tracking for commodity systems. VEE 2012: 121-132 - 2010
- [c1]Kangkook Jee, Stelios Sidiroglou-Douskos, Angelos Stavrou, Angelos D. Keromytis:
An Adversarial Evaluation of Network Signaling and Control Mechanisms. ICISC 2010: 252-265
Coauthor Index
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