Improving resiliency of network topology with enhanced evolving strategies

Soo Kim, Heejo Lee, Wan Yeon Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    Recent studies have shown that many real networks follow the power-law distribution of node degrees. Instead of random connectivity, however, power-law connectivity suffers from the vulnerability of targeted attacks, since Its Interconnection Is heavily relying on a very few nodes. In addition, the connectivity of power-law networks becomes more concentrated on the small group of nodes as time goes by, which can be explained by Barabasl and Albert's rich-get-richer model. The rich-get-richer model Is known as the most widely accepted generative model and follows the rule of preferential attachment to high-degree nodes. Thus, the preference of high-degree nodes to connect a newly created node renders the network less resilient as evolves. In this paper, we propose three different evolving strategies which can be applicable to the Internet topologies and the resiliency of evolving networks are measured by two resiliency metrics. From the experiments, we show that choosing an appropriate evolving strategy Is more effective to Increase the resiliency of network topology, rather than simply adding more links. Also, we show the possibility of Improving the attack resiliency of Internet topology by adapting only a part of networks, e.g. 20-40%, to a new evolving strategy, such as change from the maxdegree preference to the average-degree preference, which can be considered as a practical range of deployment.

    Original languageEnglish
    Title of host publicationProceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
    PublisherIEEE Computer Society
    Pages149
    Number of pages1
    ISBN (Print)076952687X, 9780769526874
    DOIs
    Publication statusPublished - 2006
    Event6th IEEE International Conference on Computer and Information Technology, CIT 2006 - Seoul, Korea, Republic of
    Duration: 2006 Sep 202006 Sep 22

    Publication series

    NameProceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006

    Other

    Other6th IEEE International Conference on Computer and Information Technology, CIT 2006
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period06/9/2006/9/22

    Keywords

    • Attack resiliency
    • Evolving strategy
    • Network topology
    • Power-law distribution

    ASJC Scopus subject areas

    • Computer Science Applications
    • Information Systems
    • Software
    • Mathematics(all)

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