Adaptive Threat Mitigation in PoW Blockchains (Part II): A Deep Reinforcement Learning Approach to Countering Evasive Adversaries.
- DOI
- 10.3390/s26041368
- Published
- 2026 Feb 21
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26041368,
title = {Adaptive Threat Mitigation in PoW Blockchains (Part II): A Deep Reinforcement Learning Approach to Countering Evasive Adversaries.},
author = {Skowroński R},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26041368},
url = {https://doi.org/10.3390/s26041368}
}RIS
TY - JOUR TI - Adaptive Threat Mitigation in PoW Blockchains (Part II): A Deep Reinforcement Learning Approach to Countering Evasive Adversaries. AU - Skowroński R PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26041368 UR - https://doi.org/10.3390/s26041368 ER -
APA
R, S. (2026). Adaptive Threat Mitigation in PoW Blockchains (Part II): A Deep Reinforcement Learning Approach to Countering Evasive Adversaries.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26041368
Source records
- pubmed · retrieved 2026-11-10T12:43:57.720Z