Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Spezialisierung für Intrusion Detection

spezialisierung ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

Spezialisierung für Intrusion Detection

Master Intrusion Detection for Cybersecurity. Gain expertise in intrusion detection systems and advanced network analysis to effectively respond to cybersecurity threats.

Dozent: Jason Crossland

Bei Coursera Plus enthalten

Mehr erfahren

3-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Mittel

Empfohlene Erfahrung

4 months to complete

unter 13 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Zertifikat erwerben

Mit kostenpflichtigen Plänen

3-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Mittel

Empfohlene Erfahrung

4 months to complete

unter 13 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Zertifikat erwerben

Mit kostenpflichtigen Plänen

Was Sie lernen werden

Explore the principles of intrusion detection systems and their role in enhancing cybersecurity defenses across various environments.
Gain hands-on experience with machine learning techniques to improve threat detection and incident response strategies in networks.
Develop a comprehensive understanding of Tor networking and its implications for privacy, security, and intrusion detection.

Kompetenzen, die Sie erwerben

Werkzeuge, die Sie lernen werden

Virtual Machines

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

48 Praxisübungen

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

Erweitern Sie Ihre Fachkenntnisse.

Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
Erwerben Sie ein Karrierezertifikat von Johns Hopkins University.

Spezialisierung - 3 Kursreihen

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.

Praktisches Lernprojekt

In this specialization on Intrusion Detection, learners will engage in hands-on projects that delve into the principles of anomaly detection and the application of machine learning techniques in cybersecurity. One key project involves completing a problem set that challenges learners to analyze a dataset using defined parameters, including bias, weights, and an activation threshold. Participants will interpret data points to classify network behavior accurately, honing their skills in critical thinking and technical analysis. Additionally, learners will explore various intrusion detection methods, gaining practical experience with tools and techniques essential for identifying and mitigating threats in real-world environments. This project emphasizes practical problem-solving while critically assessing the effectiveness and limitations of different intrusion detection strategies.

Introduction to Intrusion Detection Systems (IDS)

KURS 151 Stunden

Was Sie lernen werden

Understand the roles of HIDS and NIDS, their key components, and applications across cybersecurity contexts.
Install and configure IDS solutions on VMs to detect real-time threats in host and network environments.
Compare signature-based and anomaly-based detection methods and configure IDS rules accordingly.
Use quantitative techniques to assess IDS effectiveness, analyzing data to select optimal solutions for security needs.

Kompetenzen, die Sie erwerben

Intrusion Detection and Prevention, Anomaly Detection, Network Security, Continuous Monitoring, Network Monitoring, System Monitoring, Event Monitoring, Network Analysis, Distributed Denial-Of-Service (DDoS) Attacks, Threat Management, Virtual Machines, Endpoint Detection and Response und Threat Detection

Advanced Network Analysis and Incident Response

KURS 246 Stunden

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Incident Response, Anomaly Detection, Intrusion Detection and Prevention, Network Analysis, Network Security, NIST 800-53, Threat Detection, Cloud Security, Network Monitoring, Computer Security Incident Management, Cyber Threat Intelligence und Cyber Security Strategy

Machine Learning and Emerging Technologies in Cybersecurity

KURS 339 Stunden

Was Sie lernen werden

Explore advanced machine learning techniques, including neural networks and clustering, for improved threat detection in cybersecurity.
Understand the integration of machine learning algorithms into Intrusion Detection Systems (IDS) for enhanced security measures.
Gain knowledge of The Onion Router (ToR) architecture and its applications, focusing on privacy and anonymous communication.
Learn to utilize Security Onion tools for effective incident response within high-volume enterprise environments, enhancing cybersecurity strategy.

Kompetenzen, die Sie erwerben

Applied Machine Learning, Intrusion Detection and Prevention, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Cybersecurity, Network Security, Computer Security Incident Management, Machine Learning Software, Threat Detection und Unsupervised Learning

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

Jason Crossland

Johns Hopkins University

9 Kurse4.815 Lernende

von

Johns Hopkins University

Vergleich mit ähnlichen Produkten

	Kategorie: Dieses Zertifikat

Bewertung
Niveau
Kompetenzen
Werkzeuge
Zuletzt aktualisiert
Anzahl der praktischen Übungen
Berechtigung zum Erwerb eines Abschlusses
Teil von Coursera Plus

Ihnen könnte auch Folgendes gefallen:

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Neue Karrieremöglichkeiten mit Coursera Plus

Unbegrenzter Zugang zu 10,000+ Weltklasse-Kursen, praktischen Projekten und berufsqualifizierenden Zertifikatsprogrammen - alles in Ihrem Abonnement enthalten

Mehr erfahren

Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.

Erwerben Sie einen Abschluss von erstklassigen Universitäten – 100 % online

Erkunden Sie die Abschlüsse

Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.

Schulen Sie Ihre Mitarbeiter*innen, um sich in der digitalen Wirtschaft zu behaupten.

Mehr erfahren

Häufig gestellte Fragen

The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 3 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.

You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.