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ORCIDWajih Ul Hassan
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2020 – today
- 2026
[j5]Qi Liu
, Kaibin Bao, Wajih Ul Hassan, Veit Hagenmeyer:
HADES: Detecting and Investigating Active Directory Attacks via Whole Network Provenance Analytics. IEEE Trans. Dependable Secur. Comput. 23(1): 936-953 (2026)- [j4]Qi Liu, Muhammad Shoaib, Mati Ur Rehman, Kaibin Bao, Veit Hagenmeyer, Wajih Ul Hassan:
Accurate and Scalable Detection and Investigation of Cyber Persistence Threats. IEEE Trans. Dependable Secur. Comput. 23(4): 8967-8984 (2026) - [c26]Shashank Obla, Tommy Tracy II, Matthew Beck, James C. Hoe, Kevin Skadron, Wajih Ul Hassan:
Reconfigurable Computing Challenge: RapidScan High-Throughput Parameterized HLS-based Streaming String Matching Library for FPGAs. FCCM 2026: 311-314 - [c25]Muhammad Shoaib, Hare Sudhan Muthusamy, Tareq Alkhatib, Wajih Ul Hassan:
Catch Me If You Can: Detector-Resistant Evasion via Semantics-Preserving Command Re-Realization. SP 2026: 3528-3547 - 2025
- [c24]Chenglong Wang, Pujia Zheng, Jiaping Gui, Cunqing Hua, Wajih Ul Hassan:
R+R: From Claims to Crashes: A Systematic Re-evaluation of Graph-Based Network Intrusion Detection Systems. ACSAC 2025: 499-515 - [c23]Rui Zhao, Muhammad Shoaib, Viet Tung Hoang, Wajih Ul Hassan:
Rethinking Tamper-Evident Logging: A High-Performance, Co-Designed Auditing System. CCS 2025: 2624-2638 - [c22]Jiaping Gui, Mingjie Nie, Jinyao Guo, Futai Zou, Mati Ur Rehman, Wajih Ul Hassan:
A Principled Approach for Detecting APTs in Massive Networks via Multi-Stage Causal Analytics. INFOCOM 2025: 1-10 - [c21]Muhammad Shoaib, Wajih Ul Hassan:
Demo: Investigating Immersive Attacks with REALITYCHECK. MobiHoc 2025: 503-504 - [c20]Muhammad Shoaib, Alex Suh, Wajih Ul Hassan:
Principled and Automated Approach for Investigating AR/VR Attacks. USENIX Security Symposium 2025: 4325-4344 - [i8]Chenglong Wang, Pujia Zheng, Jiaping Gui, Cunqing Hua, Wajih Ul Hassan:
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems. CoRR abs/2503.20281 (2025) - [i7]Yi Huang, Wajih Ul Hassan, Yao Guo, Xiangqun Chen, Ding Li:
PROVSYN: Synthesizing Provenance Graphs for Data Augmentation in Intrusion Detection Systems. CoRR abs/2506.06226 (2025) - [i6]Rui Zhao, Muhammad Shoaib, Viet Tung Hoang, Wajih Ul Hassan:
Rethinking Tamper-Evident Logging: A High-Performance, Co-Designed Auditing System. CoRR abs/2509.03821 (2025) - [i5]Saleha Muzammil, Rahul Reddy, Vishal Kamalakrishnan, Hadi Ahmadi, Wajih Ul Hassan:
Towards Small Language Models for Security Query Generation in SOC Workflows. CoRR abs/2512.06660 (2025) - 2024
- [c19]Mati Ur Rehman, Hadi Ahmadi, Wajih Ul Hassan:
Flash: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning. SP 2024: 3552-3570 - [i4]Qi Liu, Muhammad Shoaib, Mati Ur Rehman, Kaibin Bao, Veit Hagenmeyer, Wajih Ul Hassan:
Accurate and Scalable Detection and Investigation of Cyber Persistence Threats. CoRR abs/2407.18832 (2024) - [i3]Qi Liu, Kaibin Bao, Wajih Ul Hassan, Veit Hagenmeyer:
HADES: Detecting Active Directory Attacks via Whole Network Provenance Analytics. CoRR abs/2407.18858 (2024) - 2023
- [c18]Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan:
SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions. SP 2023: 2620-2638 - 2022
- [c17]Muhammad Adil Inam, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan:
FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput. ACSAC 2022: 813-826 - [c16]Muhammad Adil Inam, Wajih Ul Hassan, Ali Ahad, Adam Bates, Rashid Tahir, Tianyin Xu, Fareed Zaffar:
Forensic Analysis of Configuration-based Attacks. NDSS 2022 - 2021
- [c15]Carter Yagemann, Mohammad A. Noureddine, Wajih Ul Hassan, Simon P. Chung, Adam Bates, Wenke Lee:
Validating the Integrity of Audit Logs Against Execution Repartitioning Attacks. CCS 2021: 3337-3351 - 2020
- [j3]Tanveer Ahmed, Xiaofei Zhang, Wajih Ul Hassan:
A Higher-Order Propagator Method for 2D-DOA Estimation in Massive MIMO Systems. IEEE Commun. Lett. 24(3): 543-547 (2020) - [c14]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 - [c13]Noor Michael, Jaron Mink, Jason Liu, Sneha Gaur, Wajih Ul Hassan, Adam Bates:
On the Forensic Validity of Approximated Audit Logs. ACSAC 2020: 189-202 - [c12]Wajih Ul Hassan, Mohammad A. Noureddine, Pubali Datta, Adam Bates:
OmegaLog: High-Fidelity Attack Investigation via Transparent Multi-layer Log Analysis. NDSS 2020 - [c11]Riccardo Paccagnella, Pubali Datta, Wajih Ul Hassan, Adam Bates, Christopher W. Fletcher, Andrew Miller, Dave Tian:
Custos: Practical Tamper-Evident Auditing of Operating Systems Using Trusted Execution. NDSS 2020 - [c10]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 - [c9]Wajih Ul Hassan, Adam Bates, Daniel Marino:
Tactical Provenance Analysis for Endpoint Detection and Response Systems. SP 2020: 1172-1189
2010 – 2019
- 2019
- [j2]Owolabi Legunsen, Nader Al Awar, Xinyue Xu, Wajih Ul Hassan, Grigore Rosu, Darko Marinov:
How effective are existing Java API specifications for finding bugs during runtime verification? Autom. Softw. Eng. 26(4): 795-837 (2019) - [j1]Adam Bates, Wajih Ul Hassan:
Can Data Provenance Put an End to the Data Breach? IEEE Secur. Priv. 17(4): 88-93 (2019) - [c8]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 - 2018
- [c7]Wajih Ul Hassan, Mark Lemay, Nuraini Aguse, Adam Bates, Thomas Moyer:
Towards Scalable Cluster Auditing through Grammatical Inference over Provenance Graphs. NDSS 2018 - [c6]Qi Wang, Wajih Ul Hassan, Adam Bates, Carl A. Gunter:
Fear and Logging in the Internet of Things. NDSS 2018 - [c5]Wajih Ul Hassan, Saad Hussain, Adam Bates:
Analysis of Privacy Protections in Fitness Tracking Social Networks -or- You can run, but can you hide? USENIX Security Symposium 2018: 497-512 - 2017
- [c4]Mark Lemay, Wajih Ul Hassan, Thomas Moyer, Nabil Schear, Warren Smith:
Automated Provenance Analytics: A Regular Grammar Based Approach with Applications in Security. TaPP 2017 - [c3]Calin Iorgulescu, Florin Dinu, Aunn Raza, Wajih Ul Hassan, Willy Zwaenepoel:
Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling. USENIX ATC 2017: 97-109 - [c2]Adam Bates, Wajih Ul Hassan, Kevin R. B. Butler, Alin Dobra, Bradley Reaves, Patrick T. Cable II, Thomas Moyer, Nabil Schear:
Transparent Web Service Auditing via Network Provenance Functions. WWW 2017: 887-895 - [i2]Calin Iorgulescu, Florin Dinu, Aunn Raza, Wajih Ul Hassan, Willy Zwaenepoel:
Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling. CoRR abs/1702.04323 (2017) - [i1]Ehsan Totoni, Wajih Ul Hassan, Todd A. Anderson, Tatiana Shpeisman:
HiFrames: High Performance Data Frames in a Scripting Language. CoRR abs/1704.02341 (2017) - 2016
- [c1]Owolabi Legunsen, Wajih Ul Hassan, Xinyue Xu, Grigore Rosu, Darko Marinov:
How good are the specs? a study of the bug-finding effectiveness of existing Java API specifications. ASE 2016: 602-613
Coauthor Index
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