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Existing fake website detection systems are unable to effectively detect fake websites. In this study, we advocate the development of fake website detection systems that employ classification methods grounded in statistical learning theory…

Computers and Society · Computer Science 2013-10-01 Ahmed Abbasi , Zhu Zhang , Hsinchun Chen

As businesses increasingly rely on social networking sites to engage with their customers, it is crucial to understand and counter reputation manipulation activities, including fraudulently boosting the number of Facebook page likes using…

Collaborative fraud, where multiple fraudulent accounts coordinate to exploit online payment systems, poses significant challenges due to the formation of complex network structures. Traditional detection methods that rely solely on…

Machine Learning · Computer Science 2025-12-23 Chi Liu

In recent years, there has been a growing effort to develop effective and efficient algorithms for fake account detection in online social networks. This survey comprehensively reviews existing methods, with a focus on graph-based…

Social and Information Networks · Computer Science 2025-07-10 Ali Safarpoor Dehkordi , Ahad N. Zehmakan

The proliferation of mobile devices and online interactions have been threatened by different cyberattacks, where phishing attacks and malicious Uniform Resource Locators (URLs) pose significant risks to user security. Traditional phishing…

Cryptography and Security · Computer Science 2025-01-14 Wenye Guo , Qun Wang , Hao Yue , Haijian Sun , Rose Qingyang Hu

Web-based phishing accounts for over 90% of data breaches, and most web-browsers and security vendors rely on machine-learning (ML) models as mitigation. Despite this, links posted regularly on anti-phishing aggregators such as PhishTank…

Cryptography and Security · Computer Science 2022-09-07 Arthur Wong , Alsharif Abuadbba , Mahathir Almashor , Salil Kanhere

Frauds severely hurt many kinds of Internet businesses. Group-based fraud detection is a popular methodology to catch fraudsters who unavoidably exhibit synchronized behaviors. We combine both graph-based features (e.g. cluster density) and…

Cryptography and Security · Computer Science 2018-06-26 Yikun Ban , Xin Liu , Tianyi Zhang , Ling Huang , Yitao Duan , Xue Liu , Wei Xu

Revelations of large scale electronic surveillance and data mining by governments and corporations have fueled increased adoption of HTTPS. We present a traffic analysis attack against over 6000 webpages spanning the HTTPS deployments of 10…

Cryptography and Security · Computer Science 2014-03-04 Brad Miller , Ling Huang , A. D. Joseph , J. D. Tygar

To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e.g., Snopes.com and Politifact.com). However, fake news dissemination has been greatly promoted via social…

Information Retrieval · Computer Science 2020-01-08 Di You , Nguyen Vo , Kyumin Lee , Qiang Liu

Online e-commerce scams, ranging from shopping scams to pet scams, globally cause millions of dollars in financial damage every year. In response, the security community has developed highly accurate detection systems able to determine if a…

Cryptography and Security · Computer Science 2025-09-16 Pujan Paudel , Gianluca Stringhini

Broken links in websites external resources pose a serious threat to cybersecurity and the credibility of websites. They can be hijacked to eavesdrop user traffic or to inject malicious software. In this paper, we present the first result…

Cryptography and Security · Computer Science 2024-02-29 Ronan Mouchoux , Laurent Moulin , Nicolas Striebig

How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover…

Social and Information Networks · Computer Science 2015-09-22 Paras Jain , Shang-Tse Chen , Mozhgan Azimpourkivi , Duen Horng Chau , Bogdan Carbunar

Knowledge Graphs have been one of the fundamental methods for integrating heterogeneous data sources. Integrating heterogeneous data sources is crucial, especially in the biomedical domain, where central data-driven tasks such as drug…

Machine Learning · Computer Science 2020-12-22 Islam Akef Ebeid , Majdi Hassan , Tingyi Wanyan , Jack Roper , Abhik Seal , Ying Ding

Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy. Attackers are constantly devising new methods of…

Cryptography and Security · Computer Science 2024-03-18 Asif Newaz , Farhan Shahriyar Haq , Nadim Ahmed

Repurposing existing drugs to treat new diseases is a cost-effective alternative to de novo drug development, but there are millions of potential drug-disease combinations to be considered with only a small fraction being viable. In silico…

Quantitative Methods · Quantitative Biology 2025-10-24 Austin Polanco , M. E. J. Newman

The ability to automatically detect fraudulent escrow websites is important in order to alleviate online auction fraud. Despite research on related topics, fake escrow website categorization has received little attention. In this study we…

Computers and Society · Computer Science 2013-09-30 Ahmed Abbasi , Hsinchun Chen

This essay is based on the joint project with 111, Inc. The pharmacy e-Commerce business grows rapidly in recent years with the ever-increasing medical demand during the pandemic. A big challenge for online pharmacy platforms is drug…

Artificial Intelligence · Computer Science 2022-07-05 Dong Chenxi , QP Zhang , B Hu , JC Zhang , Dl Lin

'Fake news' is information that generally spreads on the web, which only mimics the form of reliable news media content. The phenomenon has assumed uncontrolled proportions in recent years rising the concern of authorities and citizens. In…

Social and Information Networks · Computer Science 2020-12-01 Davide Bennato , Giuseppe Pernagallo , Benedetto Torrisi

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are…

Cryptography and Security · Computer Science 2026-01-21 Karthikeyan V. R. , Premnath S. , Kavinraaj S. , J. Sangeetha

What if a successful company starts to receive a torrent of low-valued (one or two stars) recommendations in its mobile apps from multiple users within a short (say one month) period of time? Is it legitimate evidence that the apps have…

Social and Information Networks · Computer Science 2016-11-24 Gabriel Gimenes , Robson Cordeiro , Jose F. Rodrigues-Jr
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