Optimizing the Protection of IoT Devices
Optimizing IoT device protection through innovative blacklist creation and evaluation. Proposes the Attacker IP Prioritizer algorithm and a standardized methodology for assessing blacklist effectiveness in resource-constrained environments.
Exploitation Techniques and Attacks on Hosting Assets and Access for Resale
Exploration of underground markets for compromised network assets, covering exploitation techniques, lateral movement, monetization, and defender strategies for incident response and security monitoring.
Who Littered the Sandbox? Scooping Up New Malware Behavior
Explore large-scale malware behavior analysis using sandbox telemetry. Gain insights into infection patterns, commonalities, and evolving tactics to improve detection and mitigation strategies.
Insider Trading - Hacking Stocks Using Public Information and Influence
Explore legal methods to influence stock prices using public information, including trend analysis, reverse WHOIS, and DNS enumeration techniques.
Modern Internet-Scale Network Reconnaissance - Underflow
Explore modern internet-scale network reconnaissance techniques, including data processing, platform capabilities, certificate transparency, cloud discovery, and domain fronting for enhanced cybersecurity insights.
Is Data Visualization Still Necessary?
Explore the relevance and importance of data visualization in modern analytics, examining its role, challenges, and future prospects in effectively communicating complex information.
How to Make Metrics and Influence People
Learn effective data analysis techniques to create impactful metrics that drive action and improvement. Gain insights on avoiding common pitfalls and aligning metrics with processes for better decision-making.
PowerShell Classification - Life, Learning, and Self-Discovery
Explore PowerShell's significance in cybersecurity, including exploit frameworks, logging, and evasion tactics. Learn about machine learning applications for analyzing PowerShell data and improving detection efficacy.
Bestsellers in the Underground Economy - Measuring Malware Popularity by Forum
Explore underground economy forums to measure malware popularity, analyze trends, and gain insights into the cybercriminal ecosystem. Learn about ransomware, language patterns, and correlation events.
GCP BigQuery as Security Detection Platform
Explore using BigQuery for security detection, leveraging its powerful data analysis capabilities to enhance threat detection and response in cloud environments.
Back to Basics - Using Descriptive Statistics to Study the Shape of the Internet
Explore descriptive statistics to analyze Internet structure, uncovering insights into its shape and characteristics through fundamental data analysis techniques.
Stop and Step Away from the Data - Rapid Anomaly Detection via Ransom Note File Classification
Explore rapid anomaly detection techniques for identifying ransomware threats using innovative file classification methods, enhancing cybersecurity defenses against evolving attacks.
Who Watches the Watchers? - Understanding the Internet's Background Noise
Explore the constant digital surveillance and background noise of the internet, uncovering hidden threats and understanding the implications for online security and privacy.
Bad Neighborhoods – Data-Driven Detection of Malicious Internet Infrastructure
Explore data-driven techniques for identifying malicious internet infrastructure and detecting "bad neighborhoods" in cyberspace using advanced analytics and threat intelligence.
Dominating the DBIR Data
Explore data analysis techniques for cybersecurity incidents, covering data collection, processing, and validation. Learn to generate meaningful statistics and uncover novel findings in security datasets.
It's Not the Data - Weak Tie Algorithmic Sociality and Digital Culture
Explore digital culture, algorithmic sociality, and the impact of networked technologies on Black everyday lives with André Brock's insightful analysis of Western technoculture and Black cybercultures.
How to Achieve Both Transparency and Accuracy in Predictive Decision Making - An Introduction to Strategic Prediction
Explore techniques for balancing transparency and accuracy in predictive decision-making, focusing on strategic prediction methods for ethical and effective data-driven solutions.
Inking Your Insights - Investigating Digital Externalization Behaviors During Data Analysis
Exploring how analysts externalize thoughts during data analysis, with insights on integrating digital pen input and linking visualizations to enhance the analytical process.
Detecting Discriminatory Risk through Data Annotation Based on Bayesian Inferences
Explore Bayesian inference techniques for detecting discriminatory risk in data annotation, enhancing fairness and accountability in machine learning systems.
Popularity and Demographic Biases in Recommender Systems
Exploring popularity and demographic biases in recommender systems, their impact on evaluation and effectiveness, and strategies for ensuring equitable recommendations across diverse user groups.
Best vs. All - Equity and Accuracy of Standardized Test Score Reporting
Explore the equity and accuracy implications of different standardized test score reporting methods, examining their impact on fairness and precision in educational assessment.