Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes.
Yuyang ZhouGuang ChengShanqing JiangYuyu ZhaoZihan ChenPublished in: Comput. Secur. (2020)
Keyphrases
- cost effective
- markov decision processes
- multi objective
- ddos attacks
- moving target defense
- stochastic games
- evolutionary algorithm
- multi objective optimization
- finite state
- optimal policy
- low cost
- state space
- policy iteration
- cost effectiveness
- average reward
- dynamic programming
- reinforcement learning
- reinforcement learning algorithms
- data center
- application layer
- infinite horizon
- objective function
- game theory
- transition matrices
- average cost
- network layer
- information and communication technologies
- genetic algorithm
- decision theoretic planning
- ip addresses
- action space
- finite horizon
- markov decision process
- partially observable
- pareto optimal
- nash equilibrium
- real time
- nash equilibria
- defense mechanisms
- decision making
- long run
- real time dynamic programming