Advances in Artificial Intelligence: Third Congress of the by Mauro Di Manzo, Enrico Giunchiglia (auth.), Pietro Torasso

By Mauro Di Manzo, Enrico Giunchiglia (auth.), Pietro Torasso (eds.)

This booklet comprises 22 lengthy papers and thirteen brief ones chosen for the medical tune of the 3rd Congress of the Italian organization for synthetic Intelligence. The lengthy papers document accomplished paintings while the fast papers are often dedicated to ongoing learn. The papers document major paintings conducted within the diversified subfields of man-made intelligence not just in Italy but additionally in other places: eight of the papers come from outdoor Italy, with 2 from the U.S. and 1 eachfrom Australia, Austria, Germany, The Netherlands, Spain, and Turkey. The papers within the publication are grouped into components on: automatic reasoning; cognitive types; connectionist versions and subsymbolic ways; wisdom illustration and reasoning; languages, architectures and instruments for AI; laptop studying; traditional language; making plans and robotics; and reasoning approximately actual structures and artifacts.

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Additional resources for Advances in Artificial Intelligence: Third Congress of the Italian Association for Artificial Intelligence, AI*IA '93 Torino, Italy, October 26–28, 1993 Proceedings

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1. Example of Schneier style Attack Tree in order to analyze the system exposure, information about attacks, but, on the other hand, we need to evaluate the impact and the plausibility of such attacks. Let consider the example in Figure 1. It represents the attack tree of an hypothetical Denial of Service against a web server. As it is possible to see two are the main branches of the tree: one related to a resource consumption scenario, in which the DoS is obtained by consuming all the resources of the webserver, and one related to a code based vulnerability allowing to crash the web server, making it unreachable.

When attacking such a network, it is less likely for the remaining nodes to loose connectivity with other network elements. On Certain Behavior of Scale-Free Networks Under Malicious Attacks 13 13 1 33 1 14 14 9 9 11 2 11 12 12 8 8 4 6 4 6 3 7 7 10 10 15 16 15 16 5 5 Fig. 7. A scale-free network before and after an attack (left and right part, respectively) 10 10 13 13 15 15 6 6 3 3 5 4 16 2 4 9 1 11 8 16 2 9 1 11 8 12 7 14 12 14 Fig. 8. A random network before and after an attack (left and right part, respectively) Conclusion: if nodes are eliminated intentionally, scale-free networks appear to loose functionality much faster than random or regular networks.

5-10. 19. Masera, M. : Modelling Information Assets for Security Risk Assessment in Industrial settings. 15th EICAR Annual Conference (2006). pl Abstract. This paper evaluates performance of scale-free networks in case of intentional removal of their nodes. The distinguishing feature of this kind of networks (Internet is an excellent example) is the power law distribution of node degrees. An interesting behavior of scale-free networks, if node removal process is performed sufficiently long, is manifested by their migration to random networks.

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