DNC Hacked Data in the Hands of a Trained Intelligence Professional
Explore the DNC hack through the lens of trained intelligence professionals, analyzing data breaches and their implications for cybersecurity and political landscapes.
InfoSec by the Numbers
Explore data-driven insights and statistical analysis in information security, uncovering trends and patterns to enhance cybersecurity strategies and decision-making.
Fighting Child Exploitation with Oculum
Explore innovative techniques to combat child exploitation using Oculum, a powerful tool for analyzing and identifying illicit content online.
How to Lie with Statistics - Information Security Edition
Learn to critically analyze and interpret security statistics, avoiding common pitfalls in data presentation and understanding how numbers can be manipulated to support various agendas in infosec.
Analyzing Pwned Passwords with Apache Spark
Learn to analyze compromised passwords using Apache Spark, exploring data visualization, password policies, and big data security challenges for improved cybersecurity practices.
Analyzing Multi Dimensional Malware Dataset
Explore techniques for analyzing multi-dimensional malware datasets, enhancing threat detection and understanding complex malware behaviors in cybersecurity.
Intelligence Creating Intelligence - Leveraging What You Know to Improve Finding What You Don't
Explore techniques for creating and leveraging threat intelligence, from data collection to implementation, to enhance cybersecurity efforts and improve threat detection capabilities.
Fingerprinting Encrypted Channels for Detection
Explore techniques for fingerprinting encrypted channels to enhance detection capabilities in cybersecurity, focusing on practical applications and advanced methodologies.
Stable 27 - Your Training Data is Bad and You Should Feel Bad
Explore the impact of poor training data on machine learning models and discover strategies for improving data quality and model performance.
Stable 13 - The 1995 Anonymous Cyber Profile Patrick Matthews
Explore the intriguing 1995 anonymous cyber profile of Patrick Matthews, uncovering the mysteries and implications of this early internet persona.
Inter-Chip Communication - Testing End to End Security on IoT
Explore IoT security testing with a focus on inter-chip communication, using a smart lock as a case study. Learn practical techniques for analyzing and securing IoT devices.
Stable 34 - Waking Up the Data Engineer in You
Explore threat intelligence, attack techniques, and data analysis for enhanced cybersecurity. Learn from an expert about remote services, OSEM, and effective data modeling strategies.
Incident Response on macOS - Thomas Reed
Learn effective incident response techniques for macOS, covering data collection, persistence analysis, and real-world malware case studies to enhance your cybersecurity skills.
Do You Live or Die - Explaining Machine Learning with Azure and the Titanic Dataset
Explore machine learning using Azure and the Titanic dataset, covering data preparation, model building, and evaluation for predictive analysis and security applications.
Breaking NBAD & UEBA Detection
Explore techniques to bypass Network Behavior Anomaly Detection (NBAD) and User Entity Behavior Analytics (UEBA), covering data poisoning, exfiltration, and various attack methods with live demonstrations.
How to Make a Honeypot Stickier - SSH
Learn techniques to create more effective SSH honeypots, analyze attacker behavior, and enhance cybersecurity defenses through practical demonstrations and real-world insights.
From Improved Leakage Detection to the Detection of Points of Interests in Leakage Traces
Explore advanced techniques for detecting leakage in cryptographic implementations, from improved detection methods to identifying points of interest in leakage traces.
Non-Profiled Deep Learning-Based Side-Channel Attacks with Sensitivity Analysis
Explore non-profiled deep learning techniques for side-channel attacks, focusing on sensitivity analysis to enhance attack effectiveness and efficiency in cryptographic systems.
Building Blocks - Linear Layers
Explore linear layers as fundamental building blocks in neural networks, understanding their structure, functionality, and applications in deep learning architectures.
From Cradle to Grave - The Life of Machine Data
Explore machine data lifecycle: generation, transfer, storage, and analysis. Learn tools and practices for handling large-scale data, with live demo on MQTT, CrateDB, visualization, and machine learning applications.
What Can We Learn From 1.1 Billion GitHub Events and 42 TB of Code
Explore GitHub's vast data using Google BigQuery to gain insights on open source projects, community trends, and programming languages for informed decision-making.