Social Media Risk Metrics When OMGWTFBBQ Meets Risk Algorithms
Explore social media risk metrics and algorithms, covering sentiment analysis, profiling techniques, and data collection methods for effective risk assessment and management.
Bring Your Own Device and Whatever Security Controls You Want - One Approach to Re
Explore BYOD security challenges and solutions in enterprise environments, focusing on risks, hidden carriers, data protection, and effective implementation strategies.
Collection and Detection with Flow Data - A Follow Up
Explore network security monitoring using flow data. Learn to collect, analyze, and visualize network traffic with tools like SILK and FlowBAT for effective threat detection and service identification.
Fantastic OSINT and Where to Find It
Explore 306 fantastic Open Source Intelligence (OSINT) resources and techniques with expert Tony Robinson, enhancing your information gathering and analysis skills.
Go with the Flow - Get Started with Flow Analysis Quickly and Cheaply
Learn flow data analysis techniques using Silk, from collection to visualization. Explore advantages over PCAP, query building, and automation for efficient network traffic insights.
DNS in Enterprise IR Collection Analysis and Response
Explore DNS logging techniques for enterprise incident response, covering data collection, analysis, and response strategies to enhance network security and threat detection.
A Security Look at Voice Based Assistants
Explore security concerns and vulnerabilities of voice assistants like Alexa, including data collection, always-on listening, and potential attacks. Learn defense strategies and privacy implications.
PHONOPTICON - Leveraging Low Rent Mobile Ad Services to Achieve State Actor Level Mass Surveillance
Explore how mobile ad services can be exploited for mass surveillance, rivaling state-level capabilities. Uncover potential privacy risks in everyday technology.
Collect All the Data - Protect All the Things
Explore comprehensive data collection and protection strategies, covering network analysis, endpoint security, and intelligence operations for robust cybersecurity implementation.
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.
Contact Tracing
Explore the principles and practices of contact tracing, a crucial public health strategy for controlling infectious disease outbreaks and limiting community spread.
Data-Driven Ecosystems in the Automotive Industry
Explore BMW's big data journey, technology stack, and real-world machine learning applications in the automotive industry, addressing challenges and innovative solutions.
Data Mining for Security Anomalies
Explore techniques for collecting, processing, and mining security event data to detect anomalies and generate actionable insights for improved system protection.
End-to-End Deep Learning Pipeline for Self-Driving Cars
Explore the end-to-end deep learning pipeline for self-driving cars, covering data collection, processing, model training, evaluation, and deployment, with insights on common mistakes and future developments.
Data-Driven Process Optimisation at Mondi
Explore data-driven process optimization techniques, from data collection to model deployment and management, using real-world examples from Mondi's manufacturing operations.
Prometheus - For Both Big and Little People
Explore Prometheus monitoring for small and large deployments, covering data collection, service discovery, alerting, storage, and visualization with Grafana.
Collecting Information with Care
Explore inclusive form design for diverse users, covering name handling, gender options, and data protection to create accessible and respectful digital experiences.
Advanced Stream Processing on the Edge
Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.
Software Engineer in the Machine Learning World
Exploring the unique challenges and approaches in machine learning programming from a software engineer's perspective, with insights on data handling, model development, and result interpretation.
Model Stochastic Behavior of Failures in Telco or IT Systems
Explore stochastic failure modeling in telco/IT systems using Machine Learning. Learn data collection, neural networks, and practical implementation for improved system reliability.
It's Officially Legal so Let's Scrape the Web
Learn Python web scraping techniques to automatically collect data from websites, covering HTML basics to advanced pipeline methods for dataset compilation.