Determining the Probability of Smart Grid Attacks by Combining Attack Tree and Attack Graph Analysis

Abstract With ever increasing complexity and intelligence of the modern cities, protecting key public facilities and important targets from any damage is a major challenge for the security sector. In all types of anti-terrorism prediction models, the prediction of attack behaviour is indispensable. Therefore, the attack behaviour model plays an important role in the anti-terrorism security system. This paper builds the attacker’s behaviour model, and carries out the prediction about the possible attack behaviour by the attacker model based on random strategy. According to the attack strategies, analysis and construction of the attack tree and attack graph are carried out based on the state-based stochastic model. The paper describes the security system in detail taking use of the state-based stochastic model method, so as to clarify the state distribution and the transfer relationship between the states of various security resources after threatened by attacks. At the same time, this paper applies the state-based stochastic model to establish the attacker model through the impact of attack on the security system.

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Minimum cost security measurements for attack tree based threat models in smart grid

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) ◽

10.1109/uemcon.2017.8249049 ◽

2017 ◽

Author(s):

Nilotpal Chakraborty ◽

Ezhil Kalaimannan

Keyword(s):

Smart Grid ◽

Minimum Cost ◽

Attack Tree

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Survey of Attack Graph Analysis Methods from the Perspective of Data and Knowledge Processing

Security and Communication Networks ◽

10.1155/2019/2031063 ◽

2019 ◽

Vol 2019 ◽

pp. 1-16 ◽

Cited By ~ 3

Author(s):

Jianping Zeng ◽

Shuang Wu ◽

Yanyu Chen ◽

Rui Zeng ◽

Chengrong Wu

Keyword(s):

Cost Optimization ◽

Optimization Method ◽

Research Community ◽

Graph Analysis ◽

Analysis Method ◽

Knowledge Processing ◽

Attack Graph ◽

Analysis Methods ◽

Basic Concepts ◽

Future Work

Attack graph can simulate the possible paths used by attackers to invade the network. By using the attack graph, the administrator can evaluate the security of the network and analyze and predict the behavior of the attacker. Although there are many research studies on attack graph, there is no systematic survey for the related analysis methods. This paper firstly introduces the basic concepts, generation methods, and computing tasks of the attack graph, and then, several kinds of analysis methods of attack graph, namely, graph-based method, Bayesian network-based method, Markov model-based method, cost optimization method, and uncertainty analysis method, are described in detail. Finally, comparative study of the methods and future work are provided. We believe that this work would help the research community to understand the attack graph analysis method systematically.

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