Abusing social networks with abuse reports: A coalition attack for social networks

S. Trabelsi, Hana Bouafif
{"title":"Abusing social networks with abuse reports: A coalition attack for social networks","authors":"S. Trabelsi, Hana Bouafif","doi":"10.5220/0004523005000505","DOIUrl":null,"url":null,"abstract":"In Social Network websites, the users can report the bad behaviors of other users. In order to do so, they can create a kind of escalation ticket called abuse report in which they detail the infraction made by the “bad” user and help the website moderator to decide on a penalty. Today Social Networks count billions of users, the handling of the abuse reports is no more executed manually by moderators; they currently rely on some algorithms that automatically block the “bad” users until a moderator takes care of the case. In this paper we purport to demonstrate how such algorithms are maliciously used by attackers to illegally block innocent victims. We also propose to automate such an attack to demonstrate the big damage that can be caused in current social network websites. We also took the case study of Facebook as proof of concept.","PeriodicalId":174026,"journal":{"name":"2013 International Conference on Security and Cryptography (SECRYPT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Security and Cryptography (SECRYPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0004523005000505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In Social Network websites, the users can report the bad behaviors of other users. In order to do so, they can create a kind of escalation ticket called abuse report in which they detail the infraction made by the “bad” user and help the website moderator to decide on a penalty. Today Social Networks count billions of users, the handling of the abuse reports is no more executed manually by moderators; they currently rely on some algorithms that automatically block the “bad” users until a moderator takes care of the case. In this paper we purport to demonstrate how such algorithms are maliciously used by attackers to illegally block innocent victims. We also propose to automate such an attack to demonstrate the big damage that can be caused in current social network websites. We also took the case study of Facebook as proof of concept.
用滥用报告滥用社交网络:对社交网络的联合攻击
在社交网站上,用户可以举报其他用户的不良行为。为了做到这一点,他们可以创建一种称为滥用报告的升级票,其中详细说明“坏”用户的违规行为,并帮助网站版主决定处罚。如今,社交网络拥有数十亿用户,滥用报告的处理不再由版主手动执行;他们目前依赖于一些自动屏蔽“坏”用户的算法,直到版主处理这个问题。在本文中,我们旨在证明攻击者如何恶意使用这些算法来非法阻止无辜的受害者。我们还建议将这种攻击自动化,以展示当前社交网站可能造成的巨大损害。我们还以Facebook为例进行了概念验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信