On Fuzzy Probabilities in Bayesian Games

2011 ◽  
Author(s):  
Tiago da Cruz Asmus ◽  
Gracaliz Pereira Dimuro
Keyword(s):  
Bayesian Games ◽  
Fuzzy Probabilities

scholarly journals Game-Theoretic Decision Support for Cyber Forensic Investigations

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5300
Author(s):  
Antonia Nisioti ◽  
George Loukas ◽  
Stefan Rass ◽  
Emmanouil Panaousis
Keyword(s):  
Cyber Security ◽  
Strategic Decisions ◽  
Bayesian Games ◽  
Bayesian Game ◽  
Cyber Forensics ◽  
Detection And Attribution ◽  
Different Types ◽  
Game Theoretic ◽  
The Cost

The use of anti-forensic techniques is a very common practice that stealthy adversaries may deploy to minimise their traces and make the investigation of an incident harder by evading detection and attribution. In this paper, we study the interaction between a cyber forensic Investigator and a strategic Attacker using a game-theoretic framework. This is based on a Bayesian game of incomplete information played on a multi-host cyber forensics investigation graph of actions traversed by both players. The edges of the graph represent players’ actions across different hosts in a network. In alignment with the concept of Bayesian games, we define two Attacker types to represent their ability of deploying anti-forensic techniques to conceal their activities. In this way, our model allows the Investigator to identify the optimal investigating policy taking into consideration the cost and impact of the available actions, while coping with the uncertainty of the Attacker’s type and strategic decisions. To evaluate our model, we construct a realistic case study based on threat reports and data extracted from the MITRE ATT&CK STIX repository, Common Vulnerability Scoring System (CVSS), and interviews with cyber-security practitioners. We use the case study to compare the performance of the proposed method against two other investigative methods and three different types of Attackers.

Analysis of Air Traffic Incidents using event trees with fuzzy probabilities

2016 ◽  
Vol 293 ◽  
pp. 50-79 ◽  
Author(s):  
Michał Lower ◽  
Jan Magott ◽  
Jacek Skorupski
Keyword(s):  
Air Traffic ◽  
Traffic Incidents ◽  
Event Trees ◽  
Fuzzy Probabilities

scholarly journals A PGM framework for recursive modeling of players in simple sequential Bayesian games

2010 ◽  
Vol 51 (5) ◽  
pp. 587-599 ◽  
Author(s):  
Nicolaj Søndberg-Jeppesen ◽  
Finn V. Jensen
Keyword(s):  
Bayesian Games ◽  
Recursive Modeling

Self-Fulfilling Mechanisms in Bayesian Games

1998 ◽  
Vol 25 (2) ◽  
pp. 292-310 ◽  
Author(s):  
Françoise Forges ◽  
Enrico Minelli
Keyword(s):  
Bayesian Games

Ex-ante Agent Transformation of Bayesian Games

2021 ◽  
pp. 1-1
Author(s):  
Yuhu Wu ◽  
Shuting Le ◽  
Kuize Zhang ◽  
Xi-Ming Sun
Keyword(s):  
Bayesian Games ◽  
Ex Ante

Fuzzy probabilities for web planning

2003 ◽  
Vol 8 (7) ◽  
pp. 464-476 ◽  
Author(s):  
J. J. Buckley ◽  
K. Reilly ◽  
X. Zheng
Keyword(s):  
Fuzzy Probabilities

scholarly journals Equilibrium Points of Non-Cooperative Random and Bayesian Games

1991 ◽  
pp. 23-48 ◽  
Author(s):  
Nicholas C. Yannelis ◽  
Aldo Rustichini
Keyword(s):  
Equilibrium Points ◽  
Bayesian Games

Fuzzy Probabilities: Tentative Discussions on the Mathematical Concepts

2010 ◽  
pp. 139-148 ◽  
Author(s):  
Enric Trillas ◽  
Takehiko Nakama ◽  
Itziar García-Honrado
Keyword(s):  
Mathematical Concepts ◽  
Fuzzy Probabilities

Static Bayesian games

2021 ◽  
pp. 445-472
Author(s):  
Harald Wiese
Keyword(s):  
Bayesian Games

A Research on Battlefield Situation Assessment with Bayesian Games

2014 ◽  
Vol 13 (11) ◽  
pp. 1878-1882
Author(s):  
J.J. Yan ◽  
Y. Wang ◽  
H. Cheng
Keyword(s):  
Bayesian Games ◽  
Situation Assessment
Sign in / Sign up

Export Citation Format

Share Document