Results 201 to 210 of about 1,886 (227)
Some of the next articles are maybe not open access.
Multi-Path TCP Incomplete Information Repeated Bayesian Game
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017Leveraging the path diversity in heterogeneous wireless networks by Multi-path TCP (MPTCP) not only depends on end-user's decisions but also on other competitors who are looking for maximizing their benefits. The incomplete information repeated Bayesian game is proposed to enhance the MPTCP throughput in a resource-shared wireless network context ...
Mohammad Javad Shamani +3 more
openaire +1 more source
Defending Link Flooding Attacks under Incomplete Information: A Bayesian Game Approach
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020The link flooding attack (LFA) arises as a new class of Distributed Denial of Service (DDoS) attacks in recent years. By aggregating low-rate protocol-conforming traffic to congest selected links, LFAs can degrade the connectivity of target servers indirectly. Due to the fast proliferation of insecure Internet of Things (IoT) devices, the deployment of
Xu Chen 0004 +3 more
openaire +1 more source
SSRN Electronic Journal, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fotios Mourdoukoutas +3 more
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fotios Mourdoukoutas +3 more
openaire +2 more sources
Bayesian Potential Games to Model Cooperation for Cognitive Radios with Incomplete Information
2009 IEEE International Conference on Communications, 2009This paper presents a Bayesian Potential game to model distributed joint power and channel allocation for cognitive radios with incomplete information. We propose a cooperative approach where secondary users (SUs) devote part of their transmission power in licensed channels to relaying primary users' (PUs) messages.
Lorenza Giupponi, Christian Ibars
openaire +1 more source
Computers & Security, 2021
Abstract Industrial control systems (ICSs) are distributed complex cyber physical systems (CPSs). The core parts of ICSs are usually ultimate targets of attackers but being protected strictly and difficult to attack directly. Attackers tend to take cyber-physical attacks via multiple attack-steps from outer nodes with less protection.
Xiaoxue Liu +4 more
openaire +1 more source
Abstract Industrial control systems (ICSs) are distributed complex cyber physical systems (CPSs). The core parts of ICSs are usually ultimate targets of attackers but being protected strictly and difficult to attack directly. Attackers tend to take cyber-physical attacks via multiple attack-steps from outer nodes with less protection.
Xiaoxue Liu +4 more
openaire +1 more source
On Repeated Games with Incomplete Information Played with Non-Bayesian Players [PDF]
, 2010 N. Megiddo
openaire +1 more source
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005
Noncooperative game theory provides a normative framework for analyzing strategic interactions of agents. In some noncooperative games agent may be lack of information about its opponents. So it must make decisions on uncertain opponents. In this paper, Bayesian network is used to model the agent uncertainty of its opponents.
null Xiao-Feng Wang +3 more
openaire +1 more source
Noncooperative game theory provides a normative framework for analyzing strategic interactions of agents. In some noncooperative games agent may be lack of information about its opponents. So it must make decisions on uncertain opponents. In this paper, Bayesian network is used to model the agent uncertainty of its opponents.
null Xiao-Feng Wang +3 more
openaire +1 more source
Political Analysis, 2008
Private information characteristics like resolve and audience costs are powerful influences over strategic international behavior, especially crisis bargaining. As a consequence, states face asymmetric information when interacting with one another and will presumably try to learn about each others' private characteristics by observing each others ...
Justin Esarey +2 more
openaire +1 more source
Private information characteristics like resolve and audience costs are powerful influences over strategic international behavior, especially crisis bargaining. As a consequence, states face asymmetric information when interacting with one another and will presumably try to learn about each others' private characteristics by observing each others ...
Justin Esarey +2 more
openaire +1 more source
Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information
2019In the field of artificial intelligence, learning automaton (LA) is a self-adaptive decision-maker which plays an important role in reinforcement learning (RL). Games of learning automata are stochastic games with incomplete information that have received frequent usage.
Hua Ding 0001 +2 more
openaire +1 more source
IFAC Proceedings Volumes, 2003
Abstract In this paper, a technique that can apply Bayesian-Cournot Nash(BCN) equilibriwn model in establishing electric power bidding strategies for generation companies in competitive electric power market is proposed. Each generation company must compete with others in order to maximize its profit.
Byeong-Gook Kwon +3 more
openaire +1 more source
Abstract In this paper, a technique that can apply Bayesian-Cournot Nash(BCN) equilibriwn model in establishing electric power bidding strategies for generation companies in competitive electric power market is proposed. Each generation company must compete with others in order to maximize its profit.
Byeong-Gook Kwon +3 more
openaire +1 more source