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Who can spot an online romance scam? [PDF]
Journal of Financial Crime, 2019 Purpose This paper examines predictors (personality, belief systems, expertise and response time) of detecting online romance scams. Design/methodology/approach The online study asked 261 participants to rate whether a profile was a scam or a ...
Mónica T Whitty
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SCSGuard: Deep Scam Detection for Ethereum Smart Contracts
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022Qianlan Bai, Yuedong Xu
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Phishing Scams Detection in Ethereum Transaction Network
ACM Transactions on Internet Technology, 2020Blockchain has attracted an increasing amount of researches, and there are lots of refreshing implementations in different fields. Cryptocurrency as its representative implementation, suffers the economic loss due to phishing scams. In our work, accounts and transactions are treated as nodes and edges, thus detection of phishing accounts can be modeled
Liang Chen 0001 +5 more
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An Automatic Detection and Analysis of the Bitcoin Generator Scam
2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 2020We investigate what we call the "Bitcoin Generator Scam" (BGS), a simple system in which the scammers promise to "generate" new bitcoins using the ones that were sent to them. A typical offer will suggest that, for a small fee, one could receive within minutes twice the amount of bitcoins submitted. BGS is clearly not a very sophisticated attack.
Emad Badawi +3 more
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Automatic Detection and Analysis of the “Game Hack” Scam
Journal of Web Engineering, 2020The “Game Hack” Scam (GHS) is a mostly unreported cyberattack in which attackers attempt to convince victims that they will be provided with free, unlimited “resources” or other advantages for their favorite game. The endgame of the scammers ranges from monetizing for themselves the victims time and resources by having them click through endless ...
Emad Badawi +3 more
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2014
Twitter is one among the fastest growing social networking services.This growth has led to an increase in Twitter scams (e.g., intentional deception). There is relatively little effort in identifying scams in Twitter. In this chapter, we propose a semi-supervised Twitter scam detector based on a small labeled data.
Xiaoling Chen +2 more
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Twitter is one among the fastest growing social networking services.This growth has led to an increase in Twitter scams (e.g., intentional deception). There is relatively little effort in identifying scams in Twitter. In this chapter, we propose a semi-supervised Twitter scam detector based on a small labeled data.
Xiaoling Chen +2 more
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Surveylance: Automatically Detecting Online Survey Scams
2018 IEEE Symposium on Security and Privacy (SP), 2018Online surveys are a popular mechanism for performing market research in exchange for monetary compensation. Unfortunately, fraudulent survey websites are similarly rising in popularity among cyber-criminals as a means for executing social engineering attacks.
Amin Kharraz +2 more
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A Copy Detection Method Based on SCAM and PPCHECKER
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015With the widespread use of the Internet and the availability of a huge amount of digital documents online, plagiarism is increasing. This is a serious problem not only in publishing of scientific documents but also in education. Copying is a frequent way used in plagiarism. Documents can be copied completely or some parts. Many document copy detection (
Nguyen Lu'o'ng-Hien, Thi-Oanh Nguyen
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Scam Armor: Scam Detection in Text-Messaging Using Natural Language Processing
2025 6th International Conference on Artificial Intelligence and Data Sciences (AiDAS)Sharifalillah Nordin
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SCAM Detection in Credit Card Application
International Journal of Business Intelligent, 2014Identity crime is well known, prevalent, and costly, and credit application scam is a specific case of identity crime. The existing no data mining recognition system of business rules and scorecards and known scam matching have confines. To address these confines and combat identity crime in real time, this paper proposes a new multilayered discovery ...
M.Sanjeeev kumar, A.Kamakshi Ms
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