SCAPHY - Detecting Modern ICS Attacks by Correlating Behaviors in SCADA and Physical
Explore a novel approach to detecting attacks on industrial control systems by correlating behaviors in SCADA and physical layers, enhancing cybersecurity in critical infrastructure.
Towards Zero Carbon - Implementing Sustainable Battery Lifecycle Management in Data Centers
Innovative solution for sustainable battery lifecycle management in data centers using IoT, AI, and real-time monitoring to reduce costs, prevent downtime, and achieve zero-carbon waste diversion goals.
Practical Cyborgism - Machine Learning for Bro Logs
Explore machine learning techniques for analyzing Bro logs, focusing on supervised and unsupervised methods to enhance cybersecurity threat detection and analysis.
The Future of Security Isn't Preventing Attacks
Explores shifting security focus from prevention to detection and remediation. Discusses building threat intelligence and preparing for inevitable system compromises.
Computing Professional Identity for the Economic Graph
Explore LinkedIn's Economic Graph: mapping connections between professionals, companies, jobs, skills, and knowledge to revolutionize the global workforce landscape.
One Stop Anomaly Shop
Comprehensive machine learning framework for anomaly detection in datasets. Enables custom preprocessing, enhances accuracy on small datasets, and targets security threats efficiently.
Secure and Scalable Anomaly-Based Network Intrusion Detection
Presentation on a secure, scalable framework for anomaly-based network intrusion detection, implemented in Go. Explores feature extraction, data collection, and machine learning applications for detecting network threats.
CANsee - An Automobile Intrusion Detection System
Introducing CANsee: A machine learning-based intrusion detection system for automobiles. Detects abnormal CANBUS traffic using a low-cost device to capture and transmit data wirelessly. Open-source project with potential for enhancing vehicle security.
Program Anomaly Detection - Methodology and Practices
Explore methodologies and practices for detecting program anomalies, covering techniques to identify unusual behaviors in software systems for enhanced security and reliability.
Re-architecting Traffic Analysis with Neural Network Interface Cards
Innovative approach to enhance network traffic analysis using binary neural networks on SmartNICs, offering improved scalability, lower latency, and higher throughput compared to traditional software-based systems.
Cross-Dataset Time Series Anomaly Detection for Cloud Systems
Innovative approach combining transfer and active learning for detecting anomalies in cloud systems using limited labeled data, improving efficiency in maintaining service availability.
Apache Kafka and KSQL in Action - Let's Build a Streaming Data Pipeline
Build real-time streaming data pipelines using Apache Kafka and KSQL. Learn architectural benefits, data integration, filtering, enrichment, and anomaly detection through practical demonstrations.
Azure Digital Twins in a Nutshell
Explore Azure Digital Twins: simulate, analyze, and control physical objects digitally. Learn key features, business benefits, and real-world applications through demonstrations and use cases.
Secure Because Math - A Deep-Dive on Machine Learning-Based Monitoring
Explore machine learning techniques in information security, their strengths and limitations, and practical applications for incident detection and response. Learn to evaluate ML-based security solutions critically.
SQL Injection Detection - Joint Force Database Auditing & Anomaly Intrusion Detection
Explore advanced SQL injection detection techniques, combining database auditing and anomaly intrusion detection for enhanced cybersecurity measures.
Program Semantics-Aware Intrusion Detection
Explore advanced intrusion detection techniques leveraging program semantics for enhanced cybersecurity. Learn cutting-edge strategies to identify and mitigate sophisticated threats.
Beyond Logs - Real-Time Anomaly Detection with Machine Learning
Explore real-time anomaly detection using machine learning on logs and traces. Learn to treat application data holistically, enabling intelligent monitoring and complex issue identification beyond traditional alerts.
Realize Your Hacker Heritage - Do The Needful
Explore hacker culture, ethics, and impact on technology. Learn to leverage hacking skills for positive change and innovation in various fields.
Using Machine Learning Solutions to Solve Serious Security Problems
Explore machine learning applications in cybersecurity, focusing on anti-cheat systems, big data analysis with Hadoop, and anomaly detection using decision trees and SVMs for enhanced threat prevention.
Making Breaking Machine Learning Anomaly Detectors in Real Life
Explore techniques for creating and defeating machine learning anomaly detectors, with practical insights for real-world applications in cybersecurity.
Chunky Cookies - Smashing Application Aware Defenses
Explore application-aware defense bypassing techniques, including data chunking, encryption, and reassembly methods for network traffic manipulation and evasion.