An Adversarial Evaluation of Network Signaling and Control Mechanisms. - Kangkook Jee; Stelios Sidiroglou-Douskos; Angelos Stavrou; Angelos D. Keromytis (ICISC, 2010)

A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware. - Kangkook Jee; Georgios Portokalidis; Vasileios P. Kemerlis; Soumyadeep Ghosh; David I. August; Angelos D. Keromytis (NDSS, 2012)

libdft: practical dynamic data flow tracking for commodity systems. - Vasileios P. Kemerlis; Georgios Portokalidis; Kangkook Jee; Angelos D. Keromytis (VEE, 2012)

ShadowReplica: efficient parallelization of dynamic data flow tracking. - Kangkook Jee; Vasileios P. Kemerlis; Angelos D. Keromytis; Georgios Portokalidis (CCS, 2013)

IntFlow: improving the accuracy of arithmetic error detection using information flow tracking. - Marios Pomonis; Theofilos Petsios; Kangkook Jee; Michalis Polychronakis; Angelos D. Keromytis (ACSAC, 2014)

On Efficiency and Accuracy of Data Flow Tracking Systems. - Kangkook Jee (2015)

High Fidelity Data Reduction for Big Data Security Dependency Analyses. - Zhang Xu; Zhenyu Wu 003; Zhichun Li; Kangkook Jee; Junghwan Rhee; Xusheng Xiao; Fengyuan Xu; Haining Wang 001; Guofei Jiang (CCS, 2016)

NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis. - Yutao Tang; Ding Li 001; Zhichun Li; Mu Zhang 001; Kangkook Jee; Xusheng Xiao; Zhenyu Wu 003; Junghwan Rhee; Fengyuan Xu; Qun Li 001 (CCS, 2018)

Towards a Timely Causality Analysis for Enterprise Security. - Yushan Liu 004; Mu Zhang 001; Ding Li 001; Kangkook Jee; Zhichun Li; Zhenyu Wu 003; Junghwan Rhee; Prateek Mittal (NDSS, 2018)

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Zhichun Li; Kangkook Jee; Zhenyu Wu 003; Chung Hwan Kim; Sanjeev R. Kulkarni; Prateek Mittal (USENIX Security Symposium, 2018)

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

A Query Tool for Efficiently Investigating Risky Software Behaviors. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. - Wajih Ul Hassan; Shengjian Guo; Ding Li 001; Zhengzhang Chen; Kangkook Jee; Zhichun Li; Adam Bates 001 (NDSS, 2019)

Countering Malicious Processes with Process-DNS Association. - Suphannee Sivakorn; Kangkook Jee; Yixin Sun; Lauri Korts-Pärn; Zhichun Li; Cristian Lumezanu; Zhenyu Wu 003; Lu-An Tang; Ding Li 001 (NDSS, 2019)

A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Zhichun Li; Kangkook Jee; Zhenyu Wu 003; Chung Hwan Kim; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2019)

A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (Proc. VLDB Endow., 2019)

This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. - Wajih Ul Hassan; Ding Li 001; Kangkook Jee; Xiao Yu 007; Kexuan Zou; Dawei Wang; Zhengzhang Chen; Zhichun Li; Junghwan Rhee; Jiaping Gui; Adam Bates 001 (ACSAC, 2020)

Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. - Gbadebo Ayoade; Khandakar Ashrafi Akbar; Pracheta Sahoo; Yang Gao 027; Anmol Agarwal; Kangkook Jee; Latifur Khan; Anoop Singhal (CNS, 2020)

Detecting Malware Injection with Program-DNS Behavior. - Yixin Sun; Kangkook Jee; Suphannee Sivakorn; Zhichun Li; Cristian Lumezanu; Lauri Korts-Pärn; Zhenyu Wu 003; Junghwan Rhee; Chung Hwan Kim; Mung Chiang; Prateek Mittal (EuroS&P, 2020)

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Kangkook Jee; Haifeng Chen; Sanjeev R. Kulkarni; Prateek Mittal (ICDE, 2020)

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. - Jiaping Gui; Ding Li 001; Zhengzhang Chen; Junghwan Rhee; Xusheng Xiao; Mu Zhang 001; Kangkook Jee; Zhichun Li; Haifeng Chen (ICDE, 2020)

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. - Qi Wang 017; Wajih Ul Hassan; Ding Li 001; Kangkook Jee; Xiao Yu 007; Kexuan Zou; Junghwan Rhee; Zhengzhang Chen; Wei Cheng 002; Carl A. Gunter; Haifeng Chen (NDSS, 2020)

UTrack: Enterprise User Tracking Based on OS-Level Audit Logs. - Yue Li 002; Zhenyu Wu 003; Haining Wang 001; Kun Sun 001; Zhichun Li; Kangkook Jee; Junghwan Rhee; Haifeng Chen (CODASPY, 2021)

SEAL: Storage-efficient Causality Analysis on Enterprise Logs with Query-friendly Compression. - Peng Fei; Zhou Li 001; Zhiying Wang 001; Xiao Yu 007; Ding Li 001; Kangkook Jee (USENIX Security Symposium, 2021)

Back-Propagating System Dependency Impact for Attack Investigation. - Pengcheng Fang; Peng Gao 008; Changlin Liu; Erman Ayday; Kangkook Jee; Ting Wang 006; Yanfang (Fanny) Ye; Zhuotao Liu; Xusheng Xiao (USENIX Security Symposium, 2022)

United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. - Zhiwei Zhen; Yuzhou Chen; Murat Kantarcioglu; Kangkook Jee; Yulia R. Gel (LoG, 2023)

An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy. - Chengen Wang; Yan Zhou 001; Kangkook Jee; Murat Kantarcioglu (TPS-ISA, 2023)

Reassembly is Hard: A Reflection on Challenges and Strategies. - Hyungseok Kim 002; Soomin Kim 002; Junoh Lee; Kangkook Jee; Sang Kil Cha (USENIX Security Symposium, 2023)

Evading Provenance-Based ML Detectors with Adversarial System Actions. - Kunal Mukherjee; Joshua Wiedemeier; Tianhao Wang 026; James Wei; Feng Chen; Muhyun Kim; Murat Kantarcioglu; Kangkook Jee (USENIX Security Symposium, 2023)

Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features. - Kunal Mukherjee; Joshua Wiedemeier; Tianhao Wang 026; Muhyun Kim; Feng Chen; Murat Kantarcioglu; Kangkook Jee (CoRR, 2023)

Advanced Persistent Threat Detection Using Data Provenance and Metric Learning. - Khandakar Ashrafi Akbar; Yigong Wang; Gbadebo Ayoade; Yang Gao 027; Anoop Singhal; Latifur Khan; Bhavani Thuraisingham; Kangkook Jee (IEEE Trans. Dependable Secur. Comput., 2023)

ProvIoT : Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security. - Kunal Mukherjee; Joshua Wiedemeier; Qi Wang 017; Junpei Kamimura; Junghwan John Rhee; James Wei; Zhichun Li; Xiao Yu 007; Lu-An Tang; Jiaping Gui; Kangkook Jee (ACNS (3), 2024)

An Education Program for Data Driven Security with Machine Learning Applications. - Bhavani Thuraisingham; Kangkook Jee; Latifur Khan (BigDataSecurity, 2025)

PyLingual: Toward Perfect Decompilation of Evolving High-Level Languages. - Joshua Wiedemeier; Elliot Tarbet; Max Zheng; Sangsoo Ko; Jessica Ouyang 001; Sang Kil Cha; Kangkook Jee (SP, 2025)

PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes. - Tianhao Wang 026; Simon Klancher; Kunal Mukherjee; Josh Wiedemeier; Feng Chen; Murat Kantarcioglu; Kangkook Jee (CoRR, 2025)