Johns Hopkins University
Advanced Network Analysis and Incident Response
Johns Hopkins University

Advanced Network Analysis and Incident Response

This course is part of Intrusion Detection Specialization

Jason Crossland

Instructor: Jason Crossland

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

48 hours to complete
3 weeks at 16 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

48 hours to complete
3 weeks at 16 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the differences between network situational awareness and traditional NIDS for effective incident detection.

  • Gain proficiency in using GOTS and COTS tools for network packet analysis and troubleshooting networking challenges.

  • Learn to conduct ROC analysis on IDS data and interpret event graphs and precision-recall metrics for better decision-making.

  • Explore the NIST Cybersecurity Framework and SANS Incident Response Cycle to effectively manage and respond to cyber incidents.

Details to know

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Recently updated!

November 2024

Assessments

17 assignments

Taught in English

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This course is part of the Intrusion Detection Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 7 modules in this course

This course provides a comprehensive exploration of network analysis and incident response strategies, focusing on the differentiation between Network Situational Awareness and Intrusion Detection Systems. Students will learn to apply anomaly detection techniques and utilize various network packet analysis tools. The curriculum includes developing alarm systems through Graph Analysis and interpreting key performance metrics like ROC analysis. Emphasis is placed on evaluating incident response mechanisms and understanding the implications of Artificial Intelligence in cybersecurity. Participants will also gain practical skills in applying the NIST Cybersecurity Framework and the SANS Incident Response Cycle to real-world scenarios.

What's included

1 video3 readings

This course dives into advanced network situational awareness, exploring how it differs from conventional NIDS.

What's included

5 videos3 readings3 assignments

This module introduces foundational concepts in Network Packet Analysis, providing insights into both government-off-the-shelf (GOTS) and commercial-off-the-shelf (COTS) tools used for analyzing network traffic.

What's included

4 readings3 assignments6 plugins

This module will guide students through the process of conducting ROC analysis on IDS data and interpreting various graphical representations, including event graphs, precision-recall (P-R) graphs, and thresholds.

What's included

6 videos3 readings3 assignments

This module focuses on the importance of aligning response strategies with organizational security policies, while also evaluating the risks associated with automated responses.

What's included

5 videos4 readings3 assignments

This course explores the complexities of intrusion detection and response in constrained environments.

What's included

1 video2 assignments

This course delves into the application of the NIST Cybersecurity Framework (CSF) 2.0 and the SANS Incident Response Cycle in managing cyber incidents.

What's included

6 readings3 assignments4 plugins

Instructor

Jason Crossland
Johns Hopkins University
6 Courses308 learners

Offered by

Recommended if you're interested in Security

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