Results 201 to 210 of about 1,434 (227)
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Journal of Information & Optimization Sciences
Unified Payments Interface (UPI) transactions require advanced technologies for rapid and accurate fraud detection. UPI systems face threats such as phishing, spoofing, and unauthorized access as digital payments expand. Effective detection leverages machine learning, behavioral analytics, and real-time monitoring to analyze transaction patterns, user ...
Naga Bhavani Chakka +1 more
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Unified Payments Interface (UPI) transactions require advanced technologies for rapid and accurate fraud detection. UPI systems face threats such as phishing, spoofing, and unauthorized access as digital payments expand. Effective detection leverages machine learning, behavioral analytics, and real-time monitoring to analyze transaction patterns, user ...
Naga Bhavani Chakka +1 more
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Detecting Phishing Scams on Ethereum Based on Transaction Records
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020With the increasing popularity of blockchain technology, it has also become a hotbed of various cybercrimes. As a traditional way of scam, the phishing scam has new means of scam in the blockchain scenario and swindles a lot of money from users. In order to create a safe environment for investors, an efficient method for phishing detection is urgently ...
Qi Yuan +5 more
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Linguistic Detective: Gamified Storyboard for Scam Detection
International Journal of Research and Innovation in Social Science‘Linguistic Detective: Gamified Storyboard for Scam Detection’ is an innovative project aimed at empowering players to become adept at detecting scammers through language analysis. In today’s digital age, where scams proliferate across various communication channels, understanding the linguistic cues scammers use is essential for safeguarding oneself ...
Nursyaidatul Kamar Md Shah +4 more
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Scam Detection Assistant: Automated Protection from Scammers
2019 First International Conference on Societal Automation (SA), 2019Scams, also known as social engineering attacks, are an extremely common and dangerous threat today. Scams typically result in financial loss by convincing a victim to perform an ill-advised action such as sending money, or convincing him to provide private information.
Myeongsoo Kim +7 more
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Scam Alert: Can Cryptocurrency Scams Be Detected Early?
SSRN Electronic Journal, 2023Nihad Aliyev +2 more
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AI FOR ON-CHAIN FRAUD AND SCAM DETECTION
SSRN Electronic JournalThe rapid expansion of decentralized finance (DeFi) has introduced unprecedented opportunities for financial inclusion, yet the irreversible and permissionless nature of blockchain networks has simultaneously made them a primary target for sophisticated fraud, including rug pulls, phishing drains, and layering schemes. Traditional manual compliance and
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Double and Nothing: Understanding and Detecting Cryptocurrency Giveaway Scams
Proceedings 2023 Network and Distributed System Security Symposium, 2023Xigao Li +2 more
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Blockchain Scam Detection: State-of-the-Art, Challenges, and Future Directions
Communications in Computer and Information Science, 2023Shunhui Ji, Hai Dong, Pengcheng Zhang
exaly
SYSTEM FOR DETECTING SCAM TOKENS AND SCAM TRANSACTIONS IN THE BLOCKCHAIN NETWORK
У статті розглядується питання проблеми шахрайства у криптовалюті від якого страждають все більше і більше людей. Основна ідея – це розробка аналізатора нових крипто-проектів зі сучасними методами аналізу та інтуїтивно-зрозумілим інтерфейсом, який в майбутньому планується запуститися в маси.openaire +1 more source