Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
13435861 | ICT Express | 2019 | 4 Pages |
Abstract
Optimizing complex networks to be resilient against various attack models has been an important problem that is actively studied in the academia. In the proposed optimization method, individual node degrees are balanced iteratively based on the No-Regret learning algorithm, resulting in a robust network topology with increased resilience against outside attacks. Through simulation results, we show that the proposed robustness enhanced networks perform well under targeted attacks compared to the conventional optimized networks.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Insoo Sohn,