Data Analytics for Cybersecurity
Abstract
Material from CSCE 704 Data Analytics for Cybersecurity taught by Dr. Martin Carlisle is made available here as part of the National Science Foundation (NSF) grant (award number 1730695)- CyberTraining: CIP: CiSE-ProS: Cyberinfrastructure Security Education for Professionals and Students
Description
Lecture Slides are provided for CSCE 704 developed by Dr. Martin Carlisle during the Summer of 2021. Topics include Data Analytics, Anomaly Detection, Machine Learning, Anomaly Detection in Practice, Malware Detection, Phishing Detection, Social Network Security, "Crawling, analysis, uncovering networks," Network Fundamentals, "Strategic Manipulation, Propaganda, and Fake News," and Insider Threats.Subject
CybersecurityData Analytics
Anomaly Detection
Machine Learning
Anomaly Detection in Practice
Malware Detection
Phishing Detection
Social Network Security
Crawling, analysis, uncovering networks
Network Fundamentals
"Strategic Manipulation, Propaganda, and Fake News"
Insider Threats
Department
Computer Science and EngineeringCitation
Carlisle, Martin (2021). Data Analytics for Cybersecurity. Available electronically from https : / /hdl .handle .net /1969 .1 /195009.
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