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ORCIDAnkit Shah 0002
Person information
- affiliation: George Mason University, Center for Secure Information Systems, Fairfax, VA, USA
Other persons with the same name
- Ankit Shah — disambiguation page
- Ankit Shah 0001
![[0000-0002-8838-5421]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8838-5421")
— Carnegie Mellon University, Language Technologies Institute, Pittsburgh, USA - Ankit Shah 0003 (aka: Ankit J. Shah) — Massachusetts Institute of Technology, Cambridge, MA, USA
- Ankit Shah 0004 — Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, India
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Journal Articles
- 2024
[j21]Soumyadeep Hore, Jalal Ghadermazi, Ankit Shah, Nathaniel D. Bastian:
A sequential deep learning framework for a robust and resilient network intrusion detection system. Comput. Secur. 144: 103928 (2024)- 2023
- [j20]Mohammad Noroozi, Jalal Ghadermazi, Ankit Shah, José L. Zayas-Castro:
Toward Optimal Defect Detection in Assembled Printed Circuit Boards Under Adverse Conditions. IEEE Access 11: 127119-127131 (2023) - [j19]Mohammad Noroozi, Ankit Shah:
Towards optimal foreign object debris detection in an airport environment. Expert Syst. Appl. 213(Part): 118829 (2023) - [j18]Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian:
Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework. Expert Syst. Appl. 221: 119734 (2023) - [j17]Soumyadeep Hore, Fariha Moomtaheen, Ankit Shah, Xinming Ou:
Towards Optimal Triage and Mitigation of Context-Sensitive Cyber Vulnerabilities. IEEE Trans. Dependable Secur. Comput. 20(2): 1270-1285 (2023) - [j16]Mohammad Noroozi, Hanieh Rastegar Moghaddam, Ankit Shah, Hadi Charkhgard, Sudeep Sarkar, Tapas K. Das, Timothy Pohland:
An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption. IEEE Trans. Intell. Veh. 8(6): 3572-3592 (2023) - [j15]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam, Steve E. Hutchinson:
A Novel Team Formation Framework Based on Performance in a Cybersecurity Operations Center. IEEE Trans. Serv. Comput. 16(4): 2359-2371 (2023) - 2022
- [j14]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Maintaining the level of operational effectiveness of a CSOC under adverse conditions. Int. J. Inf. Sec. 21(3): 637-651 (2022) - [j13]Aigerim Bogyrbayeva, Sungwook Jang, Ankit Shah, Young Jae Jang, Changhyun Kwon:
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems. IEEE Trans. Intell. Transp. Syst. 23(7): 8704-8714 (2022) - 2020
- [j12]Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System. ACM Trans. Intell. Syst. Technol. 11(3): 32:1-32:20 (2020) - [j11]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Pierangela Samarati, Hasan Cam:
Adaptive Alert Management for Balancing Optimal Performance among Distributed CSOCs using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31(1): 16-33 (2020) - [j10]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
An Outsourcing Model for Alert Analysis in a Cybersecurity Operations Center. ACM Trans. Web 14(1): 2:1-2:22 (2020) - 2019
- [j9]Ankit Shah, Rajesh Ganesan, Sushil Jajodia:
A methodology for ensuring fair allocation of CSOC effort for alert investigation. Int. J. Inf. Sec. 18(2): 199-218 (2019) - [j8]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Optimal Assignment of Sensors to Analysts in a Cybersecurity Operations Center. IEEE Syst. J. 13(1): 1060-1071 (2019) - [j7]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Understanding Tradeoffs Between Throughput, Quality, and Cost of Alert Analysis in a CSOC. IEEE Trans. Inf. Forensics Secur. 14(5): 1155-1170 (2019) - [j6]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
A Two-Step Approach to Optimal Selection of Alerts for Investigation in a CSOC. IEEE Trans. Inf. Forensics Secur. 14(7): 1857-1870 (2019) - 2018
- [j5]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
A methodology to measure and monitor level of operational effectiveness of a CSOC. Int. J. Inf. Sec. 17(2): 121-134 (2018) - [j4]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Adaptive reallocation of cybersecurity analysts to sensors for balancing risk between sensors. Serv. Oriented Comput. Appl. 12(2): 123-135 (2018) - [j3]Katheryn A. Farris, Ankit Shah, George Cybenko, Rajesh Ganesan, Sushil Jajodia:
VULCON: A System for Vulnerability Prioritization, Mitigation, and Management. ACM Trans. Priv. Secur. 21(4): 16:1-16:28 (2018) - [j2]Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions. ACM Trans. Intell. Syst. Technol. 9(5): 51:1-51:20 (2018) - 2016
- [j1]Rajesh Ganesan, Sushil Jajodia, Ankit Shah, Hasan Cam:
Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning. ACM Trans. Intell. Syst. Technol. 8(1): 4:1-4:21 (2016)
Conference and Workshop Papers
- 2023
- [c4]Soumyadeep Hore, Quoc H. Nguyen, Yulun Xu, Ankit Shah, Nathaniel D. Bastian, Trung Le:
Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS. DSC 2023: 1-8 - 2021
- [c3]Jalal Ghadermazi, Soumyadeep Hore, Dinesh Sharma, Ankit Shah:
Adversarial Deep Reinforcement Learning Enabled Threat Analytics Framework for Constrained Spatio-Temporal Movement Intelligence Data. ISI 2021: 1-6 - 2018
- [c2]Rajesh Ganesan, Ankit Shah:
A Strategy for Effective Alert Analysis at a Cyber Security Operations Center. From Database to Cyber Security 2018: 206-226 - 2017
- [c1]Sridhar Venkatesan, Massimiliano Albanese, Ankit Shah, Rajesh Ganesan, Sushil Jajodia:
Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning. MTD@CCS 2017: 75-85
Parts in Books or Collections
- 2019
- [p1]Rajesh Ganesan, Ankit Shah, Sushil Jajodia, Hasan Cam:
Optimizing Alert Data Management Processes at a Cyber Security Operations Center. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 206-231
Informal and Other Publications
- 2023
- [i5]Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel, Ankit Shah, Tapas K. Das, Nathaniel D. Bastian:
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. CoRR abs/2305.11039 (2023) - [i4]Dinesh Sharma, Ankit Shah, Chaitra Gopalappa:
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan. CoRR abs/2311.00855 (2023) - 2022
- [i3]Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian:
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework. CoRR abs/2208.02369 (2022) - 2020
- [i2]Aigerim Bogyrbayeva, Sungwook Jang, Ankit Shah, Young Jae Jang, Changhyun Kwon:
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems. CoRR abs/2010.02369 (2020) - 2018
- [i1]Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System. CoRR abs/1810.05921 (2018)
Coauthor Index
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