@inproceedings{30eb349f220b495cac8f2912960486b9,
title = "Network Strengthening Against Malicious Attacks",
abstract = "Robustness measures the toleration of complex networks against random failures and malicious attacks. A malicious attack removes the most important node iteratively and destroys the network quickly. It is crucial to strengthen the network robustness against malicious attacks. In this paper, we propose an algorithm to strengthen the robustness with reduced change of network structure compared to state-of-the-art algorithms. The algorithm is called targeted variable neighborhood search (TVNS) algorithm. Experiments on real-world and random networks show that TVNS is efficient on strengthening the robustness against malicious attacks. The strengthened network against high degree adaptive attack shows an onion-like structure where nodes prefer to connect with similar degree nodes; while for the strengthened network against high betweenness adaptive attack, nodes prefer to connect with similar betweenness nodes.",
keywords = "Malicious attacks, Network robustness, TVNS algorithm",
author = "Qingnan Rong and Jun Zhang and Xiaoqian Sun and Sebastian Wandelt",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 ; Conference date: 10-12-2019 Through 12-12-2019",
year = "2020",
doi = "10.1007/978-3-030-36687-2_63",
language = "English",
isbn = "9783030366865",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "761--772",
editor = "Hocine Cherifi and Sabrina Gaito and Mendes, {Jos{\'e} Fernendo} and Esteban Moro and Rocha, {Luis Mateus}",
booktitle = "Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019",
address = "Germany",
}