
Analyse der Bundestagsreden seit 1949: Sprachliche und thematische Entwicklungen, gesellschaftlicher Wandel und politische Aufmerksamkeit anhand von 200 Millionen Wörtern visualisiert.

Insider insights on building a Silicon Valley robotics startup, revealing challenges, failures, and lessons learned in autonomous delivery robot development and manufacturing.

Visualisierung und Analyse des Stromnetzes beim CCCamp 2019: Aufbau, Betrieb und Ergebnisse des Low-Cost-Monitoringsystems unter extremen Bedingungen. Integration in DMR-Funknetz für Störungsmeldungen.

Entdecken Sie die Anforderungen und Herausforderungen beim Aufbau und Betrieb von Rechenzentren, von der Kellerinstallation bis zum Full-Size-Datacenter, inklusive Sicherheit, Stromversorgung und Kühlung.

Netzwerküberwachung ohne SNMP: Verwendung von SSH, Python und ELK Stack für effektives Monitoring. Praxisnahe Einblicke in alternative Methoden zur Datenerfassung und -analyse von Netzwerkhardware.

Explore how predictive policing and AI can detect potential active shooters by analyzing warning behaviors across various data sources, enabling early intervention and prevention.

Explore the future of cybersecurity with McAfee's CTO as he challenges outdated practices and advocates for innovative defenses in the face of emerging technologies like quantum computing.

Explore blue team strategies for comprehensive data collection, analysis, and correlation using open-source tools and machine learning to enhance continuous monitoring capabilities.

Explore Go malware's unique characteristics, metadata analysis techniques, and insights into malware authorship through examination of stripped Go binaries and their structural elements.

Innovative real-time analysis technique for detecting compromised privileged accounts using Kafka streaming, enabling scalable, per-account risk assessment and evolving individual risk profiles.

Exploring data collection practices, privacy implications, and the need for perspective shifts in digital privacy. Examines research findings, technological innovations, and the impact of seemingly harmless data.

Former FBI agent shares insights on cybersecurity challenges, highlighting the gap between government perceptions and private sector realities, and discussing effective strategies for threat mitigation and future preparedness.

Explore threat intelligence sharing effectiveness through data analysis, open-source projects, and proposed metrics for improving sharing communities and platforms.

Experts from SANS Institute discuss the most dangerous new attack techniques, including hardware attacks, big data weaponization, crypto mining, ICS safety threats, and cloud breaches, offering insights on defeating these evolving threats.

Exploración de vulnerabilidades en sensores de sistemas críticos, demostrando ataques y discutiendo defensas para dispositivos médicos, drones y wearables. Enfoque en la seguridad de sistemas de detección y actuación.

Statistical framework for measuring login validity using IP and user agent, achieving high accuracy with user history and reputation systems, applicable for new and established services.

Transforming honeypot data into valuable security insights through innovative data analysis techniques. Learn to extract meaningful patterns and create effective signatures from seemingly useless information.

Explore the contrast between rigid, formulaic approaches and creative, intuitive methods in cybersecurity through an engaging analogy to art styles.

Explore HTTP-based Denial of Service attacks, focusing on a novel method using time-based techniques. Learn about attack classification, mitigation strategies, and tools for identifying vulnerabilities in web applications.

Dissecting non-malicious artifacts from online malware scanners to reveal sensitive data leaks and build intelligence platforms. Explores the risks of security solutions sharing data with external services.

Innovative machine learning approach for detecting malware in encrypted HTTPS traffic using Bro IDS logs, without decryption. Focuses on behavioral features and connection 4-tuples for improved accuracy.