Multistage Attack–Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution

Risk Analysis ◽  
2021 ◽  
Author(s):  
Chengwu Shao ◽  
Yan‐Fu Li

2018 ◽  
Vol 2018 ◽  
pp. 1-28 ◽  
Author(s):  
Thanh H. Nguyen ◽  
Mason Wright ◽  
Michael P. Wellman ◽  
Satinder Singh

We study the problem of allocating limited security countermeasures to protect network data from cyber-attacks, for scenarios modeled by Bayesian attack graphs. We consider multistage interactions between a network administrator and cybercriminals, formulated as a security game. This formulation is capable of representing security environments with significant dynamics and uncertainty and very large strategy spaces. We propose parameterized heuristic strategies for the attacker and defender and provide detailed analysis of their time complexity. Our heuristics exploit the topological structure of attack graphs and employ sampling methods to overcome the computational complexity in predicting opponent actions. Due to the complexity of the game, we employ a simulation-based approach and perform empirical game analysis over an enumerated set of heuristic strategies. Finally, we conduct experiments in various game settings to evaluate the performance of our heuristics in defending networks, in a manner that is robust to uncertainty about the security environment.



2011 ◽  
Vol 121-126 ◽  
pp. 4619-4624
Author(s):  
Qi Zhang ◽  
Hai Bing Chen

In order to cope with the pressure from competition of global marketization, it’s common for enterprises to carry out multiple projects at the same time. The following has always been the focus and key issues for management wanting to achieve greater operational benefits when carrying out multiple projects simultaneously 1. resource allocation 2. shorten project-development cycle by coordinating relationships between team members 3. lower operating cost This paper covers 4. Introducing the concept of Multi-Project Management and its difference from general project management 5. Analyze the advantages and existing problems of Multi-Project Management 6. Address the issues such as resource allocation and conflicts resolution/coordination between project manager & operation manager by using Quantitative Analysis such as Game theory 7. Provide theory reference and practical suggestions for entrepreneurs.





2019 ◽  
Vol 25 (3) ◽  
pp. 500-513
Author(s):  
P.V. Revenkov ◽  


2018 ◽  
Vol 24 (3) ◽  
pp. 629-640
Author(s):  
P.V. Revenkov ◽  
◽  
A.A. Berdyugin ◽  




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