Introduction to Anti-Phishing
Explore the principles of Cybersecurity research, with an emphasis on Intrusion Detection Systems.
Modules/Weeks
Weekly Effort
Discipline
School
Format
Cost
Course Description
- Acquire a thorough understanding of cybersecurity and anti-phishing strategies, including misuse and anomaly detection, as well as the use of deception for intruder identification.
- Learn how to implement effective authentication measures and prevention strategies against phishing attacks.
- Explore the diverse landscape of phishing attacks and corresponding defense mechanisms, equipping yourself with comprehensive knowledge.
- Discover the applications of machine learning in spam detection, URL analysis, classification of phishing domains, and identification of phishing websites, guided by expert insights from Salvatore Stolfo, a renowned authority in intrusion detection and anomaly-detection algorithms.
What You Will Learn
By the end of this course, learners will be able to:
Cultivate a robust comprehension of cybersecurity fundamentals and anti-phishing techniques, laying a strong foundation for safeguarding digital environments.
Differentiate between misuse detection and anomaly detection strategies, gaining insights into two distinct approaches for enhancing security.
Understand the strategic role of deception in identifying potential intruders within digital systems, bolstering proactive security measures.
Acquire the know-how to prioritize authentication and employ effective phishing prevention strategies, contributing to the establishment of robust cybersecurity frameworks.
Gain familiarity with the integration of machine learning into cybersecurity practices, enabling expertise in areas such as spam detection, phishing domain classification, URL analysis, and the identification of phishing websites.
Course Outline
Module 1: Overview of cybersecurity
Module 2: Gentle introduction of deception security
Module 3: Summary of deception security
Module 4: Authentication is key to successful hacking
Module 5: How to phish
Module 6: Deep dive into phishing
Module 7: Security training
Module 8: Email security
Module 9: Spam detection
Module 10: Phishing domains
Module 11: Detection of phishing by URL analysis
Module 12: Detecting phishing websites with beacons
Module 13: Mitigation
Module 14: Wrap-up
Instructors
Stolfo is regarded as creating the area of machine learning applied to intrusion detection and has created several anomaly-detection algorithms and systems addressing some of the hardest problems in securing computer systems. Of particular note is his interest in detecting zero-day attacks and credential theft. Stolfo is also co-inventor of a novel technology that automatically injects intrusion detection functionality into arbitrary special-purpose embedded devices. Stolfo has been granted over 60 patents.
Stolfo received a BS in Computational Information Sciences from Brooklyn College, CUNY, in 1975 and a PhD in Computer Science from Courant Institute, New York University, in 1979.
Please note that there are no instructors or course assistants actively monitoring this course.