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Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-72367-9_32openalex-snapshot
FirePatch: Secure and Time-Critical Dissemination of Software Patches
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Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Building the Scientific Foundation
inferredcites →https://doi.org/10.1007/978-3-319-25594-1_1openalex-snapshot
A Game-Theoretic Approach to IP Address Randomization in Decoy-Based Cyber Defense
inferredcites →https://doi.org/10.1007/s10458-012-9200-2openalex-snapshot
A survey of point-based POMDP solvers
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Optimal control of Markov processes with incomplete state information
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On convergence rates of game theoretic reinforcement learning algorithms
inferredcites →https://doi.org/10.1049/iet-ifs.2014.0272openalex-snapshot
Exploring risk flow attack graph for security risk assessment
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ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
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Lecture Notes in Computer Science 1205
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Dynamic policy-based IDS configuration
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Cybersecurity Strategies: The QuERIES Methodology
inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-snapshot
Deep Reinforcement Learning: A Brief Survey
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Adaptive control with the stochastic approximation algorithm: Geometry and convergence
inferredcites →https://doi.org/10.1109/tdsc.2011.34openalex-snapshot
Dynamic Security Risk Management Using Bayesian Attack Graphs
inferredcites →https://doi.org/10.1109/tifs.2018.2819967openalex-snapshot
A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks
inferredcites →https://doi.org/10.1117/12.604240openalex-snapshot
Network vulnerability assessment using Bayesian networks
inferredcites →https://doi.org/10.1137/110843332openalex-snapshot
On Attack-Resilient Distributed Formation Control in Operator-Vehicle Networks
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
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Measuring network security using dynamic bayesian network
inferredcites →https://doi.org/10.1145/1866307openalex-snapshot
Proceedings of the 17th ACM conference on Computer and communications security
inferredcites →https://doi.org/10.1145/2663474.2663481openalex-snapshot
Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed
inferredcites →https://doi.org/10.1145/2808475.2808482openalex-snapshot
Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs
inferredcites →https://doi.org/10.1145/2810103.2813691openalex-snapshot
Timely Rerandomization for Mitigating Memory Disclosures
inferredcites →https://doi.org/10.1145/3140549.3140556openalex-snapshot
Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs
inferredcites →https://doi.org/10.1145/3140549.3140562openalex-snapshot
Multi-Stage Attack Graph Security Games
inferredcites →https://doi.org/10.1145/586110.586130openalex-snapshot
Code red worm propagation modeling and analysis
inferredcites →https://doi.org/10.1186/s42400-018-0003-xopenalex-snapshot
Feedback control can make data structure layout randomization more cost-effective under zero-day attacks
inferredcites →https://doi.org/10.1287/opre.26.2.282openalex-snapshot
The Optimal Control of Partially Observable Markov Processes over the Infinite Horizon: Discounted Costs
inferredcites →https://doi.org/10.26483/ijarcs.v8i5.4021openalex-snapshot
A brief study of Wannacry Threat: Ransomware Attack 2017
inferredcites →https://doi.org/10.48550/arxiv.1709.04570openalex-snapshot
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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From Security Events to Conflict States: A Three-Layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness
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Patronus: Statistical decision-making for detecting volumetric application-layer DoS attacks
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A survey: When moving target defense meets game theory
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Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP‐Based Approach
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Stochastic Petri Net Modeling and Evaluation of Moving Target Defense With Decoy Servers and IP Address Shuffling
inferred← citeshttps://doi.org/10.1109/acsos-c58168.2023.00027openalex-snapshot
Towards an Uncertainty-aware Decision Engine for Proactive Self-Protecting Software
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Game-Theoretic Defense Policy for Network Security Against Intelligent Adversary
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Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense
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DCASR: Dynamic Multi-Type Security Resource Allocation Against APT Attack
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A Learning-Based POMDP Approach for Adaptive Cyber Defense Against Multi-Stage Attacks
inferred← citeshttps://doi.org/10.1109/icict60155.2024.10544975openalex-snapshot
A Novel Two Step Computer Network Attack and Defense Strategy
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A Robust and Efficient Risk Assessment Framework for Multi-Step Attacks
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A Federated Learning-POMDP Approach for Network Intrusion Detection
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ProMD: A Proactive Intrusion Response System for Enterprise Network with Multi-Domain
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Deep-Reinforcement-Learning-Based Self-Evolving Moving Target Defense Approach Against Unknown Attacks
inferred← citeshttps://doi.org/10.1109/jiot.2025.3573367openalex-snapshot
Deep-Shield: Multiphase Mitigation of APT via Hierarchical Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/jiot.2026.3685344openalex-snapshot
MFIR: Model-Free Intrusion Response for Partially Observable Industrial Control Systems
inferred← citeshttps://doi.org/10.1109/milcom64451.2025.11310760openalex-snapshot
Multi-Agent Cyber Defense with Multi-Level Zero-Trust Actions
inferred← citeshttps://doi.org/10.1109/noms54207.2022.9789835openalex-snapshot
Cyber threat response using reinforcement learning in graph-based attack simulations
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An Experimental Platform for Autonomous Intelligent Cyber-Defense Agents: Towards a collaborative community approach (WIPP)
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Intrusion Prevention Through Optimal Stopping
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Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
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Dynamic Policy Decision/Enforcement Security Zoning Through Stochastic Games and Meta Learning
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inferred← citeshttps://doi.org/10.1111/risa.13837openalex-snapshot
Multistage Attack–Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution
inferred← citeshttps://doi.org/10.1145/3711129.3711254openalex-snapshot
Extending Defense-in-Depth to Multi-Domain Networks
inferred← citeshttps://doi.org/10.1177/29498732251377352openalex-snapshot
Experimenting with Neurosymbolic Artificial Intelligence for Defending Against Cyber Attacks
inferred← citeshttps://doi.org/10.14722/wosoc.2023.23006openalex-snapshot
Learning automated defense strategies using graph-based cyber attack simulations
inferred← citeshttps://doi.org/10.20944/preprints202306.1085.v1openalex-snapshot
Multi-Stage Attacks: Concepts, Detection and Defences
inferred← citeshttps://doi.org/10.23919/acc60939.2024.10644873openalex-snapshot
Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging
inferred← citeshttps://doi.org/10.3390/a15040134openalex-snapshot
Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security
inferred← citeshttps://doi.org/10.3390/app15169111openalex-snapshot
Dynamic Defense Strategy Selection Through Reinforcement Learning in Heterogeneous Redundancy Systems for Critical Data Protection
inferred← citeshttps://doi.org/10.3390/fi18050239openalex-snapshot
Co-Adaptive Attacker–Defender Learning over Attack Graphs: A Stochastic Game Approach to Dynamic Network Defense
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Improvement of Computer Adaptive Multistage Testing Algorithm Based on Adaptive Genetic Algorithm
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Privacy-Preserving IoT Intrusion Detection: Challenges and Solutions in Implementing the CSAI-4-CPS Model
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