Public Dataset

Dataset Traffic Access On Website and Application in Online Gambling

Technological advancements and the widespread availability of internet access have fueled the rapid global expansion of online gambling. These platforms offer users the flexibility to play anytime and anywhere, coupled with the allure of substantial profits and immersive gameplay, which contributes to their rising popularity. However, beneath this appeal lie significant risks, including addiction, financial loss, and potential involvement in criminal activities. In Europe alone, online gambling revenue has grown by approximately 9% annually and is expected to represent 41% of the total gambling industry revenue by 2026. Moreover, online gambling is increasingly associated with cybercrimes such as theft, fraud, and defacement attacks targeting government and educational websites, often combined with black-hat SEO techniques to boost traffic to illicit gambling sites and tarnish institutional reputations. To better understand the infrastructure behind these activities, this study involved accessing several online gambling websites and applications through three one-hour gameplay sessions. The resulting dataset identifies various gambling-related IP addresses, the services they utilize, and their countries of origin, providing valuable insights into the digital and geographical landscape of online gambling operations.

#Online Gambling

Contributors

D
Deris Stiawan
R
Rahmat Budiarto
M
Mohd Yazid Idris
A
Adi Hermansyah
N
Nurul Afifah
M
M. Rafie Al Hamas
M
Muhammad Hari Wibowo
R
Rahayu Prasiska
A
Ahmad Boy Sandi
A
Ar Rizky Aditya
A
Adam Yudhistira
Z
Zaidan Amru Abdillah
F
Fauzan Aulia
J
Jagad Thandika Nugraha

Citation

@dataset{stiawan_2025_15233150, author = {Stiawan, Deris and BUDIARTO, RAHMAT and Idris, Mohd Yazid and Hermansyah, Adi and Afifah, Nurul and COMNETS UNSRI}, title = {Dataset Traffic Access On Website and Application in Online Gambling }, month = apr, year = 2025, publisher = {Zenodo}, doi = {10.5281/zenodo.15233150}, url = {https://doi.org/10.5281/zenodo.15233150}, }

File Information

Version

1.0.0

File Type

.pcap

Size

4.5 GB

Last Updated

01 January 2026