Paper Abstract and Keywords |
Presentation |
2018-03-08 10:10
An Empirical Analysis of Online Advertising Fraud by analyzing User Activities Observed in the Ad Network Fumihiro Kanei, Daiki Chiba, Yuta Takata, Mitsuaki Akiyama, Takeshi Yagi, Kunio Hato (NTT) ICSS2017-67 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the growth of online advertising market, it has become the target of abuse, such as ad fraud by adware and bots. Towards the development of countermeasures against such threats, researchers have analyzed the network traffic originated from online advertisements and the client applications which display advertisements to users. However, it is difficult to analyze "in-the-wild" ad fraud from the standpoint of clients viewing online advertisements. In this work, we conducted an empirical analysis of online advertising fraud by analyzing impressions and click activities observed in an ad network. We investigated how fraudulent activities differ from legitimate ones by analyzing user activities from viewpoints of client IP addresses, URLs and domain names of publisher websites, and coordinates of ad clicks. As a result, we observed that IP addresses managed by cloud and VPS service providers tend to be abused, and some malicious clients repeatedly click specific coordinates. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Online Advertising / Advertising Fraud / Adware / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 481, ICSS2017-67, pp. 97-102, March 2018. |
Paper # |
ICSS2017-67 |
Date of Issue |
2018-02-28 (ICSS) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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ICSS2017-67 |
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