| A game-theoretic approach for dynamic information flow tracking to detect multistage advanced persistent threats S Moothedath, D Sahabandu, J Allen, A Clark, L Bushnell, W Lee, ... IEEE Transactions on Automatic Control 65 (12), 5248-5263, 2020 | 47 | 2020 |
| A flow-network-based polynomial-time approximation algorithm for the minimum constrained input structural controllability problem S Moothedath, P Chaporkar, MN Belur IEEE Transactions on Automatic Control 63 (9), 3151-3158, 2018 | 25 | 2018 |
| Minimum cost feedback selection for arbitrary pole placement in structured systems S Moothedath, P Chaporkar, MN Belur IEEE Transactions on Automatic Control 63 (11), 3881-3888, 2018 | 22 | 2018 |
| Dynamic information flow tracking for detection of advanced persistent threats: A stochastic game approach S Moothedath, D Sahabandu, J Allen, A Clark, L Bushnell, W Lee, ... arXiv preprint arXiv:2006.12327, 2020 | 16 | 2020 |
| A game theoretic approach for dynamic information flow tracking with conditional branching D Sahabandu, S Moothedath, L Bushnell, R Poovendran, J Aller, W Lee, ... 2019 American Control Conference (ACC), 2289-2296, 2019 | 15 | 2019 |
| Multi-stage dynamic information flow tracking game S Moothedath, D Sahabandu, A Clark, S Lee, W Lee, R Poovendran Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018 | 14 | 2018 |
| Approximating constrained minimum cost input–output selection for generic arbitrary pole placement in structured systems S Moothedath, P Chaporkar, MN Belur Automatica 107, 200-210, 2019 | 10 | 2019 |
| Sparsest feedback selection for structurally cyclic systems with dedicated actuators and sensors in polynomial time S Moothedath, P Chaporkar, MN Belur IEEE Transactions on Automatic Control 64 (9), 3956-3963, 2019 | 10 | 2019 |
| Optimal network topology design in composite systems for structural controllability S Moothedath, P Chaporkar, MN Belur IEEE Transactions on Control of Network Systems 7 (3), 1164-1175, 2020 | 8 | 2020 |
| Stochastic conservative contextual linear bandits J Lin, XY Lee, T Jubery, S Moothedath, S Sarkar, ... 2022 IEEE 61st Conference on Decision and Control (CDC), 7321-7326, 2022 | 7 | 2022 |
| Minimizing inputs for strong structural controllability K Yashashwi, S Moothedath, P Chaporkar 2019 American Control Conference (ACC), 2048-2053, 2019 | 7 | 2019 |
| Optimal selection of essential interconnections for structural controllability in heterogeneous subsystems S Moothedath, P Chaporkar, MN Belur Automatica 103, 424-434, 2019 | 7 | 2019 |
| Quickest detection of advanced persistent threats: A semi-markov game approach D Sahabandu, J Allen, S Moothedath, L Bushnell, W Lee, R Poovendran 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS …, 2020 | 6 | 2020 |
| Dynamic information flow tracking games for simultaneous detection of multiple attackers D Sahabandu, S Moothedath, J Allen, A Clark, L Bushnell, W Lee, ... 2019 IEEE 58th Conference on Decision and Control (CDC), 567-574, 2019 | 6 | 2019 |
| Thompson sampling for stochastic bandits with noisy contexts: An information-theoretic regret analysis ST Jose, S Moothedath Entropy 26 (7), 606, 2024 | 5 | 2024 |
| Fully decentralized and federated low rank compressive sensing S Moothedath, N Vaswani 2022 American Control Conference (ACC), 1491-1496, 2022 | 5 | 2022 |
| A multi-agent reinforcement learning approach for dynamic information flow tracking games for advanced persistent threats D Sahabandu, S Moothedath, J Allen, L Bushnell, W Lee, R Poovendran arXiv preprint arXiv:2007.00076, 2020 | 5 | 2020 |
| Target controllability of structured systems S Moothedath, K Yashashwi, P Chaporkar, MN Belur 2019 18th European Control Conference (ECC), 3484-3489, 2019 | 5 | 2019 |
| Stochastic dynamic information flow tracking game with reinforcement learning D Sahabandu, S Moothedath, J Allen, L Bushnell, W Lee, R Poovendran Decision and Game Theory for Security: 10th International Conference …, 2019 | 5 | 2019 |
| Stochastic dynamic information flow tracking game using supervised learning for detecting advanced persistent threats S Moothedath, D Sahabandu, J Allen, L Bushnell, W Lee, R Poovendran Automatica 159, 111353, 2024 | 4 | 2024 |
Prasanna ChaporkarElectrical Engineering, IIT Bombayยืนยันอีเมลแล้วที่ ee.iitb.ac.in
