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Paper Abstract and Keywords
Presentation 2016-03-10 11:05
Bayesian Estimation of the Virus Source of an Infection in a Network Using Any Prior Distribution
Ryousuke Kido, Tetsunao Matsuta, Ryutaroh Matsumoto, Tomohiko Uyematsu (Tokyo Tech.) IT2015-104 ISEC2015-63 WBS2015-87
Abstract (in Japanese) (See Japanese page) 
(in English) We model a phenomenon that a computer virus is spreading in a network as infection of the virus in a graph constructed of nodes and edges. We consider estimating the source of infection from the nodes infected by the virus. In previous studies, it was assumed that the prior distribution of the source is uniform. For regular trees, the optimal estimation method was shown in order to estimate the source of the infection from the nodes. In this paper, we consider the case that the prior distribution is not necessarily uniform. For regular trees, we clarify the correct detection probability for some cases with the optimal estimation method. Moreover, we compare the obtained correct detection probability with that of a previous result by numerical computation, and show the improve of the correct detection probability.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian estimation / graph theory / infection / MAP estimator / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 500, IT2015-104, pp. 19-24, March 2016.
Paper # IT2015-104 
Date of Issue 2016-03-03 (IT, ISEC, WBS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 IT2015-104 ISEC2015-63 WBS2015-87

Conference Information
Committee IT ISEC WBS  
Conference Date 2016-03-10 - 2016-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English) joint meeting of IT, ISEC, and WBS 
Paper Information
Registration To IT 
Conference Code 2016-03-IT-ISEC-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian Estimation of the Virus Source of an Infection in a Network Using Any Prior Distribution 
Sub Title (in English)  
Keyword(1) Bayesian estimation  
Keyword(2) graph theory  
Keyword(3) infection  
Keyword(4) MAP estimator  
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1st Author's Name Ryousuke Kido  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
2nd Author's Name Tetsunao Matsuta  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
3rd Author's Name Ryutaroh Matsumoto  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
4th Author's Name Tomohiko Uyematsu  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
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Speaker Author-1 
Date Time 2016-03-10 11:05:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2015-104, ISEC2015-63, WBS2015-87 
Volume (vol) vol.115 
Number (no) no.500(IT), no.501(ISEC), no.502(WBS) 
Page pp.19-24 
#Pages
Date of Issue 2016-03-03 (IT, ISEC, WBS) 


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