نتایج جستجو برای: fake accounts
تعداد نتایج: 63918 فیلتر نتایج به سال:
The open nature of the Web, online social networks (OSNs) in particular, makes it possible to design socialbots—automation software that controls fake accounts in a target OSN, and has the ability to perform basic activities similar to those of real users. In the wrong hands, socialbots can be used to infiltrate online communities, build up trust over time, and then engage in various malicious ...
Online social networks (OSNs) are appealing platforms for spammers and fraudsters, who typically use fake or compromised accounts to connect with and defraud real users. To combat such abuse, OSNs allow users to report fraudulent profiles or activity. The OSN can then use reporting data to review and/or limit activity of reported accounts. Previous authors have suggested that an OSN can augment...
Fake accounts on online social networks are increasing today with an increase in the number of active network users. Social media websites allow users to share thoughts, facts, views and re-sharing these into various networks. platforms provide enormous valuable information but this great amount media, many issues like fake profile, hacking have also grown. The profiles sites create news unwant...
The Sybil attack is one where an user creates multiple Duplicate or fake identities to compromise the running of the system. Online social networks(OSN) suffers from the creation of fake accounts that introduce fake product reviews, malware and spam, existing defenses focus on using the social graph structure to isolate fakes. This paper presents VoteTrusta salable defense system that further l...
The Sybil attack is one where an user creates multiple Duplicate or fake identities to compromise the running of the system. Online social networks(OSN) suffers from the creation of fake accounts that introduce fake product reviews, malware and spam, existing defenses focus on using the social graph structure to isolate fakes. This paper presents VoteTrusta salable defense system that further l...
This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data. In particular, we focus on more than 1.5M tweets collected on the day of the election of Donald Trump as 45th president of the United States of America. We use the meta-data embedded within those tweets in order to look for differences between tweets contai...
<span>Online social networks have become the most widely used medium to interact with friends and family, share news important events or publish daily activities. However, this growing popularity has made a target for suspicious exploitation such as spreading of misleading malicious information, making them less reliable trustworthy. In paper, fake account detection system based on bidire...
Popular User-Review Social Networks (URSNs)— such as Dianping, Yelp, and Amazon—are often the targets of reputation attacks in which fake reviews are posted in order to boost or diminish the ratings of listed products and services. These attacks often emanate from a collection of accounts, called Sybils, which are collectively managed by a group of real users. A new advanced scheme, which we te...
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