
Explores how data quality impacts machine learning models for malicious URL detection, comparing results across different datasets and analyzing feature activations in neural networks.

Explore the misconceptions about globalization and discover surprising data that challenges the notion of a borderless world in this eye-opening analysis.

Explore how open data revolutionizes international aid, enhancing transparency and effectiveness. Learn guidelines for maximizing impact and reducing corruption in development efforts.

Steven Pinker analyzes data on global issues, revealing progress in various areas over the past 30 years. He argues for viewing challenges as solvable problems and emphasizes continued knowledge application for human flourishing.

Internet scanning research: latest results, tools, and findings. Explore new scan types, data processing, and vulnerability statistics. Learn about recent discoveries in misconfigurations and security improvements across countries and industries.

Explore machine learning techniques in information security, their strengths and limitations, and practical applications for incident detection and response. Learn to evaluate ML-based security solutions critically.

Explore APT attack patterns through DNS profiling, utilizing automated data collection and visualization tools to identify attacker behaviors and potential identities.

Exposing phone fraudsters' tactics in account takeovers through acoustic analysis and graph theory, revealing reconnaissance patterns and providing insights to enhance call center security.

Open source engine for creating advanced data visualizations, enabling visual learners to interpret complex data sets efficiently. Useful for security practitioners, incident responders, and malware researchers.

Explore data protection challenges and solutions for Big Data environments, focusing on security considerations for Hadoop and emerging vulnerabilities in large-scale data management systems.

Explore security vulnerabilities in ADS-B technology and potential threats to air traffic control systems, including practical demonstrations of data injection and visualization techniques.

Explore advanced SQL injection detection techniques, combining database auditing and anomaly intrusion detection for enhanced cybersecurity measures.

Explore OLAP technology vulnerabilities in Business Intelligence systems, focusing on MDX-related attacks, code injection, and data retrieval vectors. Learn practical exploitation techniques for critical corporate data.

Exploring user susceptibility to social bots on Twitter through machine learning and personality analysis, with implications for targeted interactions and awareness training.

Explore data mining and NLP techniques to profile online activity, creating digital fingerprints for enhanced social engineering. Learn to analyze user interactions, vocabulary, and communication patterns.

Explore overlooked local attack techniques for enhanced information security, leveraging fast response and direct machine examination for more effective penetration testing and analysis.

Explore vulnerabilities in everyday devices like cars and home alarms. Learn about eavesdropping, replay attacks, and code analysis techniques to understand and mitigate security risks in physical systems.

Explore advanced intrusion investigation techniques, focusing on DHCP logging, Kerberos tickets, and DNS resolutions to enhance cybersecurity capabilities and identify compromise indicators.

Explore Project Sonar's large-scale internet scanning techniques for security research, vulnerability detection, and network analysis. Learn about data collection, processing, and practical applications.

Explore the Wiper APT in Korea, analyzing its impact, components, and connections to other cyber operations. Gain insights into this sophisticated malware and its global implications.

Explore device tracking vulnerabilities and a distributed surveillance framework, including drone-based tracking and geolocation techniques for privacy awareness.