Time Signature Based Matching for Data Fusion and Coordination Detection in Cyber Relevant Logs
Methodology for detecting automated behavior in cyber logs using temporal pattern matching, scalable through locality sensitive hashing. Applications include anomaly detection and data fusion.
Someone Is Lying to You on the Internet - Using Analytics to Find Bot Submissions in the FCC Net Neutrality Submissions
Uncover bot-driven FCC net neutrality comments using open-source analytics. Learn how data analysis revealed stark differences between bulk API submissions and individual website comments, exposing potential manipulation of public opinion.
Spike Detection in Alert Correlation at LinkedIn
Discover how LinkedIn uses spike detection in alert correlation to quickly identify root causes of outages in their complex microservices architecture, reducing false positives and engineer toil.
Risky Business - Investigating the Security Practices of Vendors on an Online Anonymous Market Using Ground-Truth Data
Investigates security practices of vendors on dark web markets, revealing surprising vulnerabilities among digital item sellers compared to drug vendors. Analyzes password strength, 2FA usage, and PGP adoption.
GraphOne - A Data Store for Real-time Analytics on Evolving Graphs
GraphOne: A data store for real-time analytics on evolving graphs, combining edge and adjacency lists with dual versioning for efficient updates and computations. Outperforms graph databases in ingestion and static graph systems in analytics.
Zeph - Cryptographic Enforcement of End-to-End Data Privacy
Cryptographic system for enforcing user-defined privacy policies in real-time data analytics, ensuring compliance and protection against breaches while maintaining scalability and low latency.
SONIC - Application-Aware Data Passing for Chained Serverless Applications
Optimizes data passing in serverless workflows, adapting to dynamic factors for improved performance and cost-efficiency in analytics applications.
Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor
Análisis de contribuciones anónimas a Wikipedia a través de Tor, comparando calidad y patrones con otros tipos de usuarios para evaluar el impacto de bloquear proxies de privacidad.
Tracking Ransomware End-to-end
Comprehensive analysis of ransomware ecosystem, tracing financial transactions from victim payments to operator cash-outs. Explores Bitcoin's role in cybercrime and potential countermeasures.
Improving How We Observe Our Observability Data - Techniques for SREs
Explore techniques to enhance observability data visualization for SREs, including multivariate relationships, small multiples, and sparklines, while avoiding common pitfalls in engineering presentations.
GraphX - Graph Processing in a Distributed Dataflow Framework
Explore GraphX, a graph processing framework built on Apache Spark, offering performance comparable to specialized systems while enabling broader computational capabilities and fault tolerance.
Evolution of Observability Tools at Pinterest
Explore Pinterest's journey in scaling observability tools, from metrics to log search and distributed tracing, as the company grew from startup to web-scale platform.
How to SRE When Everything's Already on Fire
Learn how Squarespace's team adopted SRE practices to transform their unreliable logging platform into a trusted system with 99.9% uptime, sharing valuable insights and strategies for improving service reliability.
Refining Systems Data without Losing Fidelity
Explore strategies for efficient systems data management, including sampling and aggregation techniques, to maintain crucial information while reducing data volume and costs.
A Usability Study of Five Two-Factor Authentication Methods
Comprehensive usability study comparing five two-factor authentication methods, examining setup procedures, user experiences, and preferences to inform better security implementations for online accounts.
I Don't Own the Data - End User Perceptions of Smart Home Device Data Practices and Risks
Explores user perceptions of smart home device data practices, revealing uncertainties about data handling and how experiences shape security concerns and behaviors in connected homes.
Reading the Tea Leaves - A Comparative Analysis of Threat Intelligence
Comparative analysis of threat intelligence sources, evaluating metrics, coverage, and effectiveness for cybersecurity defense. Highlights limitations and challenges in using existing data.
Bringing IoT to Sports Analytics
Explore IoT applications in sports analytics, focusing on tracking cricket ball trajectories and spin using embedded sensors and radios. Innovative solutions overcome unique challenges in localization and motion tracking.
Prio - Private, Robust, and Scalable Computation of Aggregate Statistics
Learn about Prio, a privacy-preserving system for collecting aggregate statistics. Discover how it protects user data while enabling useful computations through innovative cryptographic techniques.
Diamond Miner - Comprehensive Discovery of the Internet's Topology Diamonds
Comprehensive Internet topology mapping system reveals hidden complexities, including load-balanced paths and frequent remapping events, offering deeper insights into network structure and resilience.
Is Big Data Performance Reproducible in Modern Cloud Networks?
Explores network variability in cloud computing, its impact on big data workloads, and provides guidelines for more repeatable and predictable performance experiments in cloud environments.