Situational awareness for improving network resilience management

doi:10.1007/978-3-642-38033-4_3

	Situational awareness for improving network resilience management
	Liu, Mixia 2; Feng, Tao 3; Smith, Paul 1; Hutchison, David 4
	2013
会议日期	May 12, 2013 - May 14, 2013
会议地点	Lanzhou, China
关键词	Game theory Heterogeneous networks Pattern matching Petri nets Risk assessment Security systems Stochastic models Stochastic systems Heterogeneous network environments Network resilience resilience resilience situation Situation awareness Situational awareness Stochastic game nets Stochastic Petri Nets
卷号	7863 LNCS
DOI	10.1007/978-3-642-38033-4_3
页码	31-43
英文摘要	Computer networks, widely used by enterprises and individuals nowadays, are still vulnerable when facing traffic injection, human mistakes, malicious attacks and other failures though we spend much more time and cost on security, dependability, performability, survivability, and risk assessment to make the network provide resilient services. This is because these measures are commonly viewed as closely related but a practical means of linking them is often not achieved. Network resilience research brings together all the planning that the network can be managed at a holistic view of resilience management. This paper focuses on network resilience management from "reactive" paradigm to a "proactive" one through Situational Awareness (SA) of internal factors of network and external ones of complex, dynamic and heterogeneous network environment. After surveying the research of network resilience and resilience assessment in the network, we give a model to discuss how to construct awareness of resilience issues which includes four stages. The first step is to get the situational elements about what we are interested in. Second, to understand what happened and what is going on in the networks, pattern learning and pattern matching are exploited to identify challenge. Then, to make proactive resilience management, we need to predict challenges and look for potential ones at this stage. At the fourth stage, resilience management can help take actions of remediation and recovery according to the policy of defender and attacker. After that, the two players' behaviors of defender and attacker are modeled in the same model by using Extended Generalized Stochastic Game Nets (EGSGN) which combines Game theory into Stochastic Petri Nets. Finally, we give a case study to show how to use EGSGN to depict the network resilience situation in the same model. © 2013 Springer-Verlag.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117882]
专题	计算机与通信学院
作者单位	1.AIT (Austrian Institute of Technology), Vienna, Austria; 2.E-government Research Center, Chinese Academy of Governance, Beijing, China; 3.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China; 4.School of Computing and Communication, Lancaster University, Lancaster, United Kingdom
推荐引用方式 GB/T 7714	Liu, Mixia,Feng, Tao,Smith, Paul,et al. Situational awareness for improving network resilience management[C]. 见:. Lanzhou, China. May 12, 2013 - May 14, 2013.