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Journal : Jurnal ULTIMATICS

Trends and Keyword Networks in Machine Learning-Based Click Fraud Detection Research Kevin, Kevin; Hermawan, Aditiya
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4131

Abstract

The rapid advancement of the digital economy has significantly increased the use of online advertising while concurrently giving rise to critical challenges, particularly in the form of click fraud”a manipulative act that harms advertisers by generating fraudulent clicks on digital advertisements. As click fraud attack patterns grow increasingly complex, machine learning (ML)-based research has emerged as a principal approach for detecting and mitigating these threats. This study aims to map the research landscape of ML-based click fraud detection through a bibliometric analysis to identify publication trends, patterns of international and institutional collaboration, and key thematic domains within this field. Employing a bibliometric methodology, the study analyzed 61 publications retrieved from Dimensions.ai spanning the years 2015–2024. The data were collected, refined using OpenRefine, and visualized with VOSviewer to examine keyword co-occurrences and research trends. The findings reveal a marked increase in publication volume since 2019, with dominant contributions from India, China, Saudi Arabia, and the United States. Furthermore, four principal research clusters were identified: cybersecurity, the relationship between click fraud and the digital advertising industry, dataset processing and evaluation techniques, and the development of ML-based detection systems. Each cluster offers practical contributions in areas such as system protection strategies, ad budget optimization, improved detection accuracy, and the development of scalable, real-time detection solutions. Recent trends highlight growing scholarly interest in model performance evaluation and the challenges posed by class imbalance (class skewness). This study concludes that more effective data management and the development of adaptive ML models capable of addressing evolving attack patterns are pivotal for future research. By providing a clearer mapping of current trends, this study aims to support the scientific community in developing more accurate and efficient click fraud detection strategies, thereby strengthening the integrity of the global digital advertising ecosystem.
Co-Authors Aditiya Hermawan Afdhal, Muhammad Agus Zainul Arifin Agus Zainul Arifin Agusnan, Sri Alfirano Alfirano Amandus Jong Tallo Amir Mahmud Husein, Amir Mahmud Anderson, Ricky Andi Andi Andik Yulianto Andri Wijaya Angelus, Michael Aning Kesuma Putri, Aning Kesuma Antira, Lady Ari Mulianta Ginting, Ari Mulianta Arimbi, Faren Zahra Ario Nugroho Suprapto Arninda, Arninda Arta Tri Narta Aslama, Fathiy Zakaria Assyeh Annasrul Majid Assyeh Annassrul Majid Atmaja, Maxwell Bachri, Karel Octavianus bagus Mulyawan Bena, Dea Almira Carmel Meiden Catherine Catherine Catherine Olivia Sereati Christian Herdinata Christiani, Agustina Citra Wahyuningrum Dali Santun Naga Darius Andana Haris Dedek Kusnadi Dennis Andry, Dennis Dharma Lesmono Dubbert, Juventia Dudi Anandya Dyah Erny Herwindiati Dyah Erny Herwindiati Edo Stanzah edy susanto Edy Susanto Efendi Mabruri Enjeli, Margareta Erlita, Erlita Faqqih Badruzzaman Fazira, Chairiani Indy Fransiska, Silvia Gunawan, Nico H, Muhammad Najmi Mafaza Hafiz Irsyad Hafizhuddin, Azhar Halim Putera Siswanto Hendra Winarsa Hendryli, Janson Hutabalian, Marshinta Romarta Uly I'tishom, Reny Iksen, Iksen Ishak Ishak Iskandar, Hari Izhari, Fahmi Janson Hendryli Jayadi, Riyanto Jeanny Pragantha Jesselyn, Gloria Iverose Jessicca, Jessicca Jesson, Jesson Johanes Fernandes Andry Kertanegara, I Wayan Alvin Kinley Aritonang Lady Antira Larasati, Lintang Laurentius, Laurentius Lie, Melvin Lisana Lisana Lumenta, Marly Lutfiamida, Rifna M Ezar Al Rivan Mahendra, A Majid , Assyeh Annasrul Majid, Assyeh Annasrul Martha, Lidya Ma’ruf, Nardyawan Arifi Meldawati , Lucyani moch syaiful anwar Muhammad Yudhistira Azis Muzahar Narta, Arta Tri Nasrun, Aja Natasya Natasya Nina Yusnita Yamin Novandyanta, Evan Novario Jaya Perdana Pinandita, Aria Prof. Dr. Ir. Dali S. Naga, MMSI Prya Artha Widjaja Purnama, Michael Putra, Mochamad Resya Putri, Rizkya Dwiananda Rafif, Muhammad Akmal Rahayu Ningsih Rahayu, Priskila Christine Ranope, Jumas Raphael C., Raphael C. Restuti Hidayani Saragih Rianto Nurcahyo, Rianto Rizkiliano, Ibrahim Hanif Rofilah, Salsazahra Rostina, Cut Fitri Saefudin Saefudin Salsabila, Nisrina Seng Hansun Sentosa L., Sentosa L. Setiawan, Johan Sihotang, Lenni Evalena Siregar, Aulia Sucitra Dewi Siswanto, Felicia Siti Morin Sinaga Sitorus, Friska Darnawaty Solikah, Al Milatus Stanzah, Edo Sudana, Nathan Kunta Susetyo, Eprafoditus Kristiadi Sutanto, Jessica Levina Suwarno Liang Tandililing, Elia Madatu Theresia Woro Damayanti Viny Christanti M Waruwu, Lilis Risna Wella, Wella Widjaja, Purnamawati Helen Wiwik Nirmala Sari Wiwin Kusuma Atmaja Putra Yuliana Zagoto, Mariana Erfan Kristiani