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Paper Abstract and Keywords
Presentation 2019-05-31 10:55
Analysis of the Benefit of Predicting Attack Strategies for Improving the Robustness of Networks via Link Addition
Yoichi Onoue, Sho Tsugawa (Univ. of Tsukuba) CQ2019-25
Abstract (in Japanese) (See Japanese page) 
(in English) Link addition is a promising approach for improving the robustness of networks against intentional attacks. Existing link addition strategies add links without any knowledge about the attacker's strategy. If the attacker's strategy is known, and the nodes that are to be removed are known in advance, the effectiveness of link addition strategies is expected to be improved. In this paper, we propose a link addition strategy that utilizes the knowledge about the attacker's strategy. The proposed strategy predicts nodes that will be removed by the attacker. Then, links are added so that the giant component of the network under the predicted attacker's strategy is maximized. We evaluate the effectiveness of the proposed link addition strategy through experiments. Our results show that (1) the proposed strategy is effective for improving the robustness of scale-free networks when the predicted strategy is equivalent to the actual attacker's strategy, (2) even when the predicted strategy and actual attacker's strategy are different, the proposed link addition strategy is as effective as the existing link addition strategies, and (3) the proposed link addition strategy is not effective for improving the robustness of
non-scale-free random networks.
Keyword (in Japanese) (See Japanese page) 
(in English) Robustness / Link addition / Network attack / Centrality / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 61, CQ2019-25, pp. 67-72, May 2019.
Paper # CQ2019-25 
Date of Issue 2019-05-23 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2019-25

Conference Information
Committee CQ  
Conference Date 2019-05-30 - 2019-05-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Efficiency of Wireless Communications, Wireless Communication Quality, MIMO/Diversity/Multiplexing Techniques, Radio Resource Management, Cross-Layer Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2019-05-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the Benefit of Predicting Attack Strategies for Improving the Robustness of Networks via Link Addition 
Sub Title (in English)  
Keyword(1) Robustness  
Keyword(2) Link addition  
Keyword(3) Network attack  
Keyword(4) Centrality  
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1st Author's Name Yoichi Onoue  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Sho Tsugawa  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-2 
Date Time 2019-05-31 10:55:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2019-25 
Volume (vol) vol.119 
Number (no) no.61 
Page pp.67-72 
#Pages 6 
Date of Issue 2019-05-23 (CQ) 

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