Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025

Articles

Predicting Fraud Cases in E-Commerce Transactions Using Random Forest Regression: A Data Mining Approach for Enhancing Cybersecurity and Transaction Integrity

Yusuf Durachman and Abdul Wahab Bin Abdul Rahman

Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 116-130

Detecting Threatening Content in Social Media: A Data Mining Approach Using Random Forest for Classification of Tweets in Cyberlaw Context

Husni Teja Sukmana and Lee Kyung Oh

Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 131-146

Predicting Cyber Attack Types Using XGBoost: A Data Mining Approach to Enhance Legal Frameworks for Cybersecurity

I Gede Agus Krisna Warmayana, Yuichiro Yamashita and Nobuto Oka

Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 147-160

Financial Loss Estimation in Cybersecurity Incidents: A Data Mining Approach Using Decision Tree and Linear Regression Models

Ika Maulita and B Herawan Hayadi

Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 161-174

Classifying Cybersecurity Threats in URLs Using Decision Tree and Naive Bayes Algorithms: A Data Mining Approach for Phishing, Defacement, and Benign Threat Detection 

Deshinta Arrova Dewi and Tri Basuki Kurniawan

Volume 1 • Issue 2 • 2025 • Regular Issue: June 2025 • 175-189