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Johns Hopkins University

Intrusion Detection

Johns Hopkins University via Coursera Specialization

Overview

The specialization "Intrusion Detection" is designed for postgraduate students seeking to enhance their expertise in cybersecurity with a focus on intrusion detection and incident response. Through three comprehensive courses, you will delve into the essential principles and advanced techniques necessary for effectively safeguarding networks and systems against cyber threats. In the first course, "Introduction to Intrusion Detection Systems (IDS)," you'll learn the foundational concepts of IDS, including how to identify and respond to security incidents. The second course, "Advanced Network Analysis and Incident Response," builds on this knowledge by exploring sophisticated network analysis techniques and incident response strategies, enabling you to handle complex security challenges. The final course, "Machine Learning and Emerging Technologies in Cybersecurity," emphasizes the integration of machine learning techniques within cybersecurity frameworks, equipping you with cutting-edge skills in threat detection and prevention. By completing this Specialization, you will be well-prepared to take on roles in cybersecurity, focusing on protecting organizations from evolving threats and ensuring robust security measures.

Syllabus

Course 1: Introduction to Intrusion Detection Systems (IDS)
- Offered by Johns Hopkins University. This course introduces you to Intrusion Detection Systems (IDS), offering essential knowledge and ... Enroll for free.

Course 2: Advanced Network Analysis and Incident Response
- Offered by Johns Hopkins University. The course "Advanced Network Analysis and Incident Response" equips learners with critical skills for ... Enroll for free.

Course 3: Machine Learning and Emerging Technologies in Cybersecurity
- Offered by Johns Hopkins University. The course "Machine Learning and Emerging Technologies in Cybersecurity" offers an in-depth exploration ... Enroll for free.

Courses

Taught by

Jason Crossland

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