Detection of User Cluster with Suspicious Activity in Online Social Networking Sites

Kumar, Arun; Singh, Sanjay

doi:10.1109/adcons.2013.17

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…Misrepresentation is a common PPBs, and has been studied the mechanism in economics and marketing [21][22][23][24][25]. Church et al [21] discussed the mechanism that how competition and altruism impact online disclosure behaviors considering user misrepresentation.…”

Section: Consumers' Privacy Protection Behaviours (Ppbs)mentioning

confidence: 99%

“…Drouvelis et al [22] found that consumers' misrepresentation may result in large losses. Kumar et al [24] concluded that the internet makes it easy for people to misrepresent their privacy information. Wirtz et al [25] hypothesized that "the greater the consumer's privacy concern, the greater is the likelihood of the consumer to misrepresent and fabricate personal information" and demonstrated with a survey.…”

Section: Consumers' Privacy Protection Behaviours (Ppbs)mentioning

confidence: 99%

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Consumer Information Disclosing Strategy within Consumer Misrepresentation

Zhong,

Cheng,

Mei

et al. 2024

Preprint

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To decrease privacy risks, consumers may choose to misrepresent when they are asked to offer personal information. This paper examines the impact of consumer misrepresentation on a monopolistic firm and consumers with an economic model. The results show that consumer misrepresentation may benefit the firm but hurt consumers. In addition, consumers misrepresentation may encourage the firm to provide higher personalized service level in certain scenarios, such as, when the unit cost of personalized service is low. Thirdly, when consumers misrepresent, and the firm only covers part of the market, a greater unit value of consumer’s privacy information will reduce the firm’s profit, but a greater unit cost of personalized service increases the firm’s profit.

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Section: Consumers' Privacy Protection Behaviours (Ppbs)mentioning

confidence: 99%

Section: Consumers' Privacy Protection Behaviours (Ppbs)mentioning

confidence: 99%

Consumer Information Disclosing Strategy within Consumer Misrepresentation

Zhong,

Cheng,

Mei

et al. 2024

Preprint

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“…Mohd Mahmood Ali, KhajaMoizuddinMohd and Lakshmi Rajamani [13] proposed framework for secure instant messaging system using ontology. This paper does not focus on code words and short form chat messages.…”

Section: Literature Surveymentioning

confidence: 99%

Survey on Vigilance of Instant Messages in Social Networks Using Text Mining Techniques and Ontology

Thivya.G¹

2015

IJIRCCE

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Nowadays all illegal activities are happened using the communications in instant messages. Present framework for instant messenger have control over suspicious words but not in depth. It means present system could not find out all suspicious words. The proposed system is a framework, which predicts and highlights code words and short form of suspicious words with the help of association rule mining techniques and ontology concepts.Thus this proposed framework detects suspicious messages from instant messaging systems in early stage and helps to identify and predict the type of cyber threat activity and traces the offender details.

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