Vulnerability Against Internet Disruptions - A Graph-Based Perspective

The Internet of today permeates societies and markets as a critical infrastructure. Dramatic network incidents have already happened in history with strong negative economic impacts. Therefore, assessing the vulnerability of Internet connections against failures, accidents and malicious attacks is an important field of high practical relevance. Based on a large integrated dataset describing the Internet as a complex graph, this paper develops a multi-dimensional Connectivity Risk Score that, to our knowledge, constitutes the first proposal for a topological connectivity-risk indicator of single Autonomous Systems, the organizational units of the Internet backbone. This score encompasses a variety of topological robustness metrics and can help risk managers to assess the vulnerability of their organizations even beyond network perimeters. Such analyses can be conducted in a user-friendly way with the help of CORIA, a newly developed software framework for connectivity risk analysis. Our approach can serve as an important element in an encompassing strategy to assess and improve companies’ connectivity to the Internet.

[1]  Bernhard Plattner,et al.  k-Fault tolerance of the Internet AS graph , 2011, Comput. Networks.

[2]  Kang G. Shin,et al.  Internet routing resilience to failures: analysis and implications , 2007, CoNEXT '07.

[3]  Shi Xiao,et al.  Tolerance of intentional attacks in complex communication networks , 2008, IEEE Communications Magazine.

[4]  Benjamin Fabian,et al.  How Robust is the Internet? - Insights from Graph Analysis , 2014, CRiSIS.

[5]  Vinko Zlatic,et al.  Robustness and assortativity for diffusion-like processes in scale-free networks , 2011, ArXiv.

[6]  Yi-Kuei Lin,et al.  Maintenance reliability estimation for a cloud computing network with nodes failure , 2011, Expert Syst. Appl..

[7]  David Hutchison,et al.  Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines , 2010, Comput. Networks.

[8]  Daniel Massey,et al.  Collecting the internet AS-level topology , 2005, CCRV.

[9]  M. Faloutsos,et al.  Detection of BGP routing misbehavior against cyber-terrorism , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[10]  Benjamin Fabian,et al.  Topological analysis of cloud service connectivity , 2015, Comput. Ind. Eng..

[11]  Eusebi Calle,et al.  Quantitative and qualitative network robustness analysis under different multiple failure scenarios , 2011, 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[12]  Claudia Díaz,et al.  Towards Measuring Resilience in Anonymous Communication Networks , 2015, WPES@CCS.

[13]  Benjamin Fabian,et al.  Who Runs the Internet? - Classifying Autonomous Systems into Industries , 2014, WEBIST.

[14]  James P. G. Sterbenz,et al.  Modelling communication network challenges for Future Internet resilience, survivability, and disruption tolerance: a simulation-based approach , 2013, Telecommun. Syst..

[15]  M. Faloutsos The internet AS-level topology: three data sources and one definitive metric , 2006, CCRV.

[16]  Chih-Hsiang Wu,et al.  An expert system approach to improving stability and reliability of web service , 2007, Expert Syst. Appl..

[17]  Junjie Wu,et al.  K-core-preferred Attack to the Internet: Is It More Malicious Than Degree Attack? , 2013, WAIM.

[18]  Priya Mahadevan,et al.  The internet AS-level topology: three data sources and one definitive metric , 2005, Comput. Commun. Rev..

[19]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[20]  Danny Dolev,et al.  Internet resiliency to attacks and failures under BGP policy routing , 2006, Comput. Networks.

[21]  Christos Faloutsos,et al.  Epidemic spreading in real networks: an eigenvalue viewpoint , 2003, 22nd International Symposium on Reliable Distributed Systems, 2003. Proceedings..