Alexandru G. Bardas
Alexandru G. Bardas
Associate Professor, University of Kansas
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Zitiert von
Zitiert von
A human capital model for mitigating security analyst burnout
SC Sundaramurthy, AG Bardas, J Case, X Ou, M Wesch, J McHugh, ...
Eleventh symposium on usable privacy and security (SOUPS 2015), 347-359, 2015
Investigating the application of moving target defenses to network security
R Zhuang, S Zhang, AG Bardas, SA DeLoach, X Ou, A Singhal
Resilient Control Systems 6, 162-169, 2013
Experimental study of fuzzy hashing in malware clustering analysis
Y Li, SC Sundaramurthy, AG Bardas, X Ou, D Caragea, X Hu, J Jang
8th workshop on cyber security experimentation and test (cset 15), 2015
Turning contradictions into innovations or: How we learned to stop whining and improve security operations
SC Sundaramurthy, J McHugh, X Ou, M Wesch, AG Bardas, ...
Twelfth Symposium on Usable Privacy and Security (SOUPS 2016), 237-251, 2016
A theory of cyber attacks: A step towards analyzing MTD systems
R Zhuang, AG Bardas, SA DeLoach, X Ou
Proceedings of the second ACM workshop on moving target defense, 11-20, 2015
Defensive technology use by political activists during the Sudanese revolution
A Daffalla, L Simko, T Kohno, AG Bardas
2021 IEEE symposium on security and privacy (SP), 372-390, 2021
MTD CBITS: Moving target defense for cloud-based IT systems
AG Bardas, SC Sundaramurthy, X Ou, SA DeLoach
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
Prosumer nanogrids: A cybersecurity assessment
Y Dafalla, B Liu, DA Hahn, H Wu, R Ahmadi, AG Bardas
IEEE Access 8, 131150-131164, 2020
Demand responsive dynamic pricing framework for prosumer dominated microgrids using multiagent reinforcement learning
A Shojaeighadikolaei, A Ghasemi, KR Jones, AG Bardas, M Hashemi, ...
2020 52nd North American Power Symposium (NAPS), 1-6, 2021
A multi-agent deep reinforcement learning approach for a distributed energy marketplace in smart grids
A Ghasemi, A Shojaeighadikolaei, K Jones, M Hashemi, AG Bardas, ...
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
Humans are dynamic-our tools should be too
SC Sundaramurthy, M Wesch, X Ou, J McHugh, SR Rajagopalan, ...
IEEE Internet Computing 21 (3), 40-46, 2017
Weather-aware data-driven microgrid energy management using deep reinforcement learning
A Shojaeighadikolaei, A Ghasemi, AG Bardas, R Ahmadi, M Hashemi
2021 North American Power Symposium (NAPS), 1-6, 2021
Compiling Abstract Specifications into Concrete {Systems—Bringing} Order to the Cloud
I Unruh, AG Bardas, R Zhuang, X Ou, SA DeLoach
28th Large Installation System Administration Conference (LISA14), 26-42, 2014
Mismesh: Security issues and challenges in service meshes
DA Hahn, D Davidson, AG Bardas
Security and Privacy in Communication Networks: 16th EAI International …, 2020
Classification of UDP Traffic for DDoS Detection.
AG Bardas, L Zomlot, SC Sundaramurthy, X Ou, SR Rajagopalan, ...
LEET, 2012
Deploying android security updates: an extensive study involving manufacturers, carriers, and end users
KR Jones, TF Yen, SC Sundaramurthy, AG Bardas
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
Measuring the prevalence of the password authentication vulnerability in SSH
R Andrews, DA Hahn, AG Bardas
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
Humans are dynamic. Our tools should be too. Innovations from the Anthropological Study of Security Operations Centers
SC Sundaramurthy, M Wesch, X Ou, J McHugh, SR Rajagopalan, ...
IEEE Internet Computing, 2017
Setting up and using a cyber security lab for education purposes
AG Bardas, X Ou
Journal of Computing Sciences in Colleges 28 (5), 191-197, 2013
Protecting computing assets from resource intensive querying attacks
ER Dobbins, AG Bardas, MR Eisenbarth
US Patent 9,407,659, 2016
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