Improving Resiliency of Network Topology with Enhanced Evolving Strategies

— 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 Barabasi 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 approp...

• Type: Conference
• Year: 2006
• Where: IEEECIT
• Authors: Soo Kim, Heejo Lee, Wan Yeon Lee
• Keywords: Attack Resiliency, Evolving Strategy, IEEECIT 2006, Information Technology, Resiliency