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Found 9 papers, 2 papers with code
Dynamic Pricing of Applications in Cloud Marketplaces using Game Theory
The contribution of this paper is the quantitative modeling of Cloud marketplaces in form of a game to provide novel dynamic pricing strategies; the model is validated by proving the existence and the uniqueness of Nash equilibrium of the game.
A Cost-Aware Mechanism for Optimized Resource Provisioning in Cloud Computing
Due to the recent wide use of computational resources in cloud computing, new resource provisioning challenges have been emerged.
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata
In this paper, we address the critical challenges of double-spending and selfish mining attacks in blockchain-based digital currencies.
VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin
In the proposed model, variable action set learning automaton can increase, decrease, or leave unchanged the depth of fixed structure learning automaton during the action switching phase.
Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin
However, literature has shown that Bitcoin mining's protocol is not incentive-compatible.
Sampling Social Networks Using Shortest Paths
In this paper, we propose to use the concept of shortest path for sampling social networks.
Finding a Maximum Clique using Ant Colony Optimization and Particle Swarm Optimization in Social Networks
One on important types of social group is full connected relation between some users, which known as clique structure.
Solving Minimum Vertex Cover Problem Using Learning Automata
Minimum vertex cover problem is an NP-Hard problem with the aim of finding minimum number of vertices to cover graph.
Tracking Extrema in Dynamic Environment using Multi-Swarm Cellular PSO with Local Search
Many real-world phenomena can be modelled as dynamic optimization problems.
