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By Javier Lopez, Indrajit Ray, Bruno Crispo

This e-book constitutes the completely refereed publish- convention lawsuits of the 9th foreign convention on hazards and protection of net structures, problem 2014, held in Trento, Italy, in August 2014. The thirteen complete papers and six brief papers provided have been chosen from forty eight submissions. They discover hazards and safety matters in web purposes, networks and structures masking themes resembling belief, safeguard dangers and threats, intrusion detection and prevention, entry keep watch over and defense modeling.

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Extra resources for Risks and Security of Internet and Systems: 9th International Conference, CRiSIS 2014, Trento, Italy, August 27-29, 2014, Revised Selected Papers

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12. : A review of anomaly based intrusion detection systems. Int. J. Comput. Appl. 28(7), 26–35 (2011) 13. : Hybrid intrusion detection systems (HIDS) using Fuzzy logic. In: Skrobanek, P. ) Intrusion Detection Systems, pp. 135–155, Chap. 8. InTech (2011) 14. : Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2003) 15. : Towards automatic critical infrastructure protection through machine learning. , Hartel, P. ) CRITIS 2013. LNCS, vol. 8328, pp. 197–203.

Our approach is based on previous research [5–7]. In this paper we augment and reconstruct the method, in order to be able to apply it to complex, real-world applications. We change the static analysis, from scripted execution of possible paths to symbolic execution with various types of data listeners for the source code variables. Also, we use a new parser for dynamic invariants, in order to present test results using diverse, complex AUTs; in this way, we show that our method can be utilized to detect many different kinds of errors.

Hierarchical fuzzy logic system for implementing maintenance schedules of offshore power systems. IEEE Trans. Smart Grid 3(1), 3–11 (2012) 27. : Fuzzy control of electricity storage unit for energy management of Micro-Grids. In: World Automation Congress, pp. 1–6. IEEE (2012) 28. : Failure identification in smart grids based on petri net modeling. IEEE Trans. Industr. Electron. 58(10), 4613–4623 (2011) 29. : Controlling of artificial neural network for fault diagnosis of photovoltaic array. In: The 16th International Conference on Intelligent System Application to Power Systems, pp.

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