Foundations of Software Technology and Theoretical Computer by Juris Hartmanis (auth.), Rudrapatna K. Shyamasundar (eds.)

By Juris Hartmanis (auth.), Rudrapatna K. Shyamasundar (eds.)

For greater than a decade, Foundations of software program expertise and Theoretical desktop technology meetings were supplying an annual discussion board for the presentation of recent learn leads to India and in another country. This 12 months, 119 papers from 20 nations have been submitted. each one paper used to be reviewed via no less than 3 reviewers, and 33 papers have been chosen for presentation and incorporated during this quantity, grouped into elements on style thought, parallel algorithms, time period rewriting, common sense and constraint common sense programming, computational geometry and complexity, software program expertise, concurrency, disbursed algorithms, and algorithms and studying thought. additionally integrated within the quantity are the 5 invited papers provided at theconference.

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Extra resources for Foundations of Software Technology and Theoretical Computer Science: 13th Conference Bombay, India, December 15–17, 1993 Proceedings

Example text

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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