کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6882767 1443886 2018 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Attacker-Manager Game Tree (AMGT): A new framework for visualizing and analysing the interactions between attacker and network security manager
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Attacker-Manager Game Tree (AMGT): A new framework for visualizing and analysing the interactions between attacker and network security manager
چکیده انگلیسی
The number of security threats has risen sharply in recent years. This increasing trend has encouraged researchers to develop new security models in order to analyse the vulnerability of their systems, evaluating the attack and defence mechanisms, and finding the optimal security solutions. Attack Tree (AT) is the most famous security model which graphically describes the potential attack scenarios. However, it does not consider defence solutions. Hence, Defence Tree (DT) has been designed to graphically demonstrate the security solutions in order to protect the system. In this paper, we first propose a new game theory based graphical security model, Attacker-Manager Game Tree (AMGT), to consolidate all attack and defence scenarios in one model. Using this model it is easier to analyse the interactions between an attacker and security manager. Moreover, the proposed AMGT is a comprehensive educational model for system security which helps the security manager to explain the system flaws and potential risks to the higher level managers. Although finding the optimal security solutions is considered in previous studies, different definitions of optimality make finding the best solution difficult. In the rest of this paper, we consider different definitions of the optimal security solution. Afterward, the MiniMax rule is redefined to help the security manager to extract the best security solutions using AMGT based on the definition of optimality proposed by the system requirements.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Networks - Volume 133, 14 March 2018, Pages 42-58
نویسندگان
, , , ,