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Paper Abstract and Keywords
Presentation 2018-07-11 13:10
[Encouragement Talk] Proposal of Automatic Data Collection and Repository Generation for Statistical Analysis and Visualization of Dark Web Markets
Takahiro Iwanaga, Akihiro Nakao (The Univ. of Tokyo) NS2018-41
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, cyber attack tools and attack agency services are traded in markets called “Dark Web Markets” developed in the dark web. Through dark web markets, it becomes possible for anyone to launch sophisticated attacks. Our past research, we focus on Botnet and DDoS attack agency services in dark web markets and investigate, analyze, and discuss the types of services, price quotes, market size, and the impact of transactions on the real world. Our past research presents three novelties: First, we conduct a statistical analysis of the dark web market, revealing the correlation between actual DDoS attacks and the timing of reviews in the market, which implies that the market is functioning for trading the attacks in the real world. Second, we analyze and gather the information obtained from the economically mature dark web markets and indicate the possibility for utilizing it for cyber security. Third, we also investigate into an emerging technology for developing dark nets other than Tor, such as I2P. In this research, in order to improve the efficiency of statistical analysis, we propose "visualization of information / data repository" obtained from the dark web market by automation method. In addition, we develop a scraping tool for crawling dark web markets and show that it is possible to automate collection of information on the markets.
Keyword (in Japanese) (See Japanese page) 
(in English) Cyber Security / DDoS / Botnet / Black Marketg / Dark Web / Scrapin / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 124, NS2018-41, pp. 25-30, July 2018.
Paper # NS2018-41 
Date of Issue 2018-07-04 (NS) 
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 NS2018-41

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. 
Paper Information
Registration To NS 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Automatic Data Collection and Repository Generation for Statistical Analysis and Visualization of Dark Web Markets 
Sub Title (in English)  
Keyword(1) Cyber Security  
Keyword(2) DDoS  
Keyword(3) Botnet  
Keyword(4) Black Marketg  
Keyword(5) Dark Web  
Keyword(6) Scrapin  
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Keyword(8)  
1st Author's Name Takahiro Iwanaga  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Akihiro Nakao  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2018-07-11 13:10:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-41 
Volume (vol) vol.118 
Number (no) no.124 
Page pp.25-30 
#Pages 6 
Date of Issue 2018-07-04 (NS) 

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