Search Contact Information of Scams in Classifieds of Marketplace

 
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Abstract

The article describes an approach to determining whether an ad for sale or provision of services contains contact information: phone numbers, email addresses, website links, social media IDs etc.

General Information

Keywords: working with data, building models

Journal rubric: Data Analysis

OpenAlex citations: 0

OpenAlex trends: Spam and Phishing Detection, Information Systems and Technology Applications, Cybercrime and Law Enforcement Studies

Information about the work in OpenAlex

Number of citations: 0

Topics

Spam and Phishing Detection

This cluster of papers focuses on the detection and prevention of phishing attacks, including techniques such as spam detection, machine learning, bot detection, review spam analysis, URL filtering, and defense against Sybil attacks in social networks. The research also explores behavioral analysis for identifying suspicious activities and emphasizes the importance of security education in mitigating phishing threats.

Number of works: 41190  |  Total number of citations: 400568

Topic detailsв OpenAlex

Information Systems and Technology Applications

This cluster of papers focuses on the fundamentals, drivers, and business models of enterprise content management, including topics such as information management, machine learning, predictive modeling, web content management, artificial intelligence, service systems, big data analysis, and digital document management.

Number of works: 16253  |  Total number of citations: 26702

Topic detailsв OpenAlex

Cybercrime and Law Enforcement Studies

This cluster of papers explores various aspects of cybercrime, including identity theft, online fraud, drug trafficking on the dark web, hacker communities, and the application of routine activity theory to understand victimization. It delves into the complexities of cryptomarkets, law enforcement challenges, and the psychological and financial impact of cyber-fraud victimization.

Number of works: 41848  |  Total number of citations: 170704

Topic detailsв OpenAlex

Work details in OpenAlex

DOI: https://doi.org/10.17759/mda.2020100405

Published

For citation: Smirnov, D.A., Sologub, G.B. (2020). Search Contact Information of Scams in Classifieds of Marketplace. Modelling and Data Analysis, 10(4), 51–59. (In Russ.). https://doi.org/10.17759/mda.2020100405

© Smirnov D.A., Sologub G.B., 2020

License: CC BY-NC 4.0

References

  1. Spam Detection in Online Classified Advertisements / Hung Tran [и др.]. WebQuality‘11: Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality / Association for Computing Machinery, 2011, pp.35–41, ISBN: 978–1-4503–0706–2, doi:10.1145/1964114.1964122
  2. URL:https://m.avito.ru/info/polzovatelskoe_soglashenie
  3. Daniel Jurafsky, James H. Martin. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Second Edition. Pearson Education International, 2009. 1024 pp.
  4. Maksimov Yu. A. Algoritmy lineinogo i diskretnogo programmirovaniya. – Moscow.: MEPHI, 1980.
  5. Jones K.S. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation. MCB University Press, Vol. 60, no. 5, pp. 493–502. ISSN 0022–0418.
  6. Elektronnii resurs: URL:https://machinelearningmastery.com/logistic-regression-tutorial-for-machine-learning/
  7. Gras Dzhoel. Data Science. Nauka o dannykh s nulya, [per. s angl. Andreya Logunova]. – Sankt- Peterburg, 2017. ISBN 978–5-9775–3758–2.

Information About the Authors

Daniil A. Smirnov, Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-7092-2612, e-mail: daniil.smirnov2311@yandex.ru

Gleb B. Sologub, Candidate of Science (Physics and Matematics), Associate Professor of the Department of Mathematical Cybernetics of Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5657-4826, e-mail: glebsologub@ya.ru

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