Wajih Ul Hassan
Wajih Ul Hassan
Assistant Professor, University of Virginia
Verified email at - Homepage
Cited by
Cited by
Fear and logging in the internet of things
Q Wang, WU Hassan, A Bates, C Gunter
Network and Distributed Systems Symposium, 2018
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage
WU Hassan, S Guo, D Li, Z Chen, K Jee, Z Li, A Bates
Network and Distributed System Security Symposium (NDSS), 2019
Tactical Provenance Analysis for Endpoint Detection and Response Systems
WU Hassan, A Bates, D Marino
IEEE Symposium on Security and Privacy, 2020
Towards Scalable Cluster Auditing through Grammatical Inference over Provenance Graphs
WU Hassan, M Lemay, N Aguse, A Bates, T Moyer
Network and Distributed Systems Security Symposium, 2018
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ...
NDSS, 2020
OmegaLog: High-fidelity attack investigation via transparent multi-layer log analysis
WU Hassan, MA Noureddine, P Datta, A Bates
NDSS, 2020
How good are the specs? A study of the bug-finding effectiveness of existing Java API specifications
O Legunsen, WU Hassan, X Xu, G Roşu, D Marinov
Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016
Custos: Practical tamper-evident auditing of operating systems using trusted execution
R Paccagnella, P Datta, WU Hassan, A Bates, C Fletcher, A Miller, D Tian
Network and distributed system security symposium, 2020
Transparent Web Service Auditing via Network Provenance Functions
A Bates, WU Hassan, K Butler, A Dobra, B Reaves, P Cable, T Moyer, ...
International World Wide Web Conference, 2017, 2017
Analysis of Privacy Protections in Fitness Tracking Social Networks -or- You can run, but can you hide?
WU Hassan, S Hussain, A Bates
27th USENIX Security Symposium, 497--512, 2018
Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling
C Iorgulescu, F Dinu, A Raza, WU Hassan, W Zwaenepoel
2017 USENIX Annual Technical Conference (USENIX ATC 17), 97-109, 2017
On the forensic validity of approximated audit logs
N Michael, J Mink, J Liu, S Gaur, WU Hassan, A Bates
Annual Computer Security Applications Conference, 189-202, 2020
Can data provenance put an end to the data breach?
A Bates, WU Hassan
IEEE Security & Privacy 17 (4), 88-93, 2019
This is why we can’t cache nice things: Lightning-fast threat hunting using suspicion-based hierarchical storage
WU Hassan, D Li, K Jee, X Yu, K Zou, D Wang, Z Chen, Z Li, J Rhee, ...
Annual Computer Security Applications Conference, 165-178, 2020
Automated Provenance Analytics: A Regular Grammar Based Approach with Applications in Security.
M Lemay, WU Hassan, T Moyer, N Schear, W Smith
TaPP, 2017
Validating the integrity of audit logs against execution repartitioning attacks
C Yagemann, MA Noureddine, WU Hassan, S Chung, A Bates, W Lee
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
HiFrames: high performance data frames in a scripting language
E Totoni, WU Hassan, TA Anderson, T Shpeisman
arXiv preprint arXiv:1704.02341, 2017
Forensic analysis of configuration-based attacks
MA Inam, W Ul
Proceedings of the 2022 Network and Distributed System Security Symposium, 2022
Transparent interpretation and integration of layered software architecture event streams
AB Yuile, WU Hassan, M Noureddine
US Patent App. 17/247,038, 2021
How effective are existing Java API specifications for finding bugs during runtime verification?
O Legunsen, N Al Awar, X Xu, WU Hassan, G Roşu, D Marinov
Automated Software Engineering 26 (4), 795-837, 2019
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