Articles
17 results
Quantifying the Financial Impact of Cyber Incidents: A Machine Learning Approach to Inform Legal Standards and Risk Management
Reza Alamsyah and Sri Wahyuni
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 264-281
Identifying Traffic Accident Hotspots in Recife Using K-Means Clustering: An Analysis of Legal Implications for Algorithmic Governance
Siti Sarah Maidin, Qingxue Yang and A Sunil Samson
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 246-261
Identifying Homeless Shelter Archetypes via K-Means Clustering to Inform State Responsibility
Hendro Budiyanto and Chininta Rizka Angelia
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 228-245
A Decision Tree Analysis of Bias in Predictive Policing: A Cyber Law Perspective
Liu Yang and Matee Pigultong
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 212-227
Exploring User Authentication Behavior in Cybersecurity Systems: A Data Mining Approach Using K-Means Clustering
Chendri Irawan Satrio Nugroho and Erland Inkiriwang
Volume 1 • Issue 3 • 2025 • Regular Issue: September 2025 • 190-211
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
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
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
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 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
Fraudulent Transaction Detection in Online Systems Using Random Forest and Gradient Boosting
Satrya Fajri Pratama and Arif Mu'amar Wahid
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 88-115
Temporal Crime Pattern Analysis Using Seasonal Decomposition and k-Means Clustering
Agung Dharmawan Buchdadi and Ammar Salamh Mujali Al-Rawahna
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 65-87
Trend Analysis and Clustering of Criminal Offences in Russia (2008-2023): Insights from Regional Crime Data
Jeffri Prayitno Bangkit Saputra and Aayush Kumar
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 41-64
Identifying Regional Hotspots of Gun Violence in the United States Using DBSCAN Clustering
Latasha Lenus and Andhika Rafi Hananto
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 23-40
Assessing Geographic Disparities in Campus Killings: A Data Mining Approach Using Cluster Analysis to Identify Demographic Patterns and Legal Implications
Agung Budi Prasetio, Burhanuddin bin Mohd Aboobaider and Asmala bin Ahmad
Volume 1 • Issue 1 • 2025 • Regular Issue: March 2025 • 1-22
Identifying Regional Hotspots of Gun Violence in the United States Using DBSCAN Clustering
Agung Budi Prasetio
Trend Analysis and Clustering of Criminal Offences in Russia (2008-2023): Insights from Regional Crime Data
Jeffri Prayitno Bangkit Saputra