description
course
This course provides participants with a deep understanding of the security challenges inherent in TCP/IP networks that are built upon and leverage IPv6. It explores not only these vulnerabilities but also comprehensive security methods for such networks, covering both architectural approaches and specific mechanisms and device-level implementations.
course audience
Cybersecurity engineers responsible for managing corporate network infrastructure, and engineers involved in designing corporate cybersecurity architectures.
prerequisites
Required knowledge includes TCP/IP networking (equivalent to course ANT-N101) and general cybersecurity principles (equivalent to course ANT0000).
how it works
education
online course
The online course involves group classes with an instructor via video conferencing, in addition, homework and an exam.
for corporate clients
training for corporate clients includes online and self-study courses, as well as additional services required by corporate clients: organizing training plans for client departments, assessing the effectiveness of training, etc.
teacher
course
program
course
• Probability Theory and Mathematical Statistics Fundamentals.
• Threat Modeling using Probability Theory.
• Cybersecurity Risk Assessment using Mathematical Statistics.
• Statistics-Based Cybersecurity Metrics.
• Statistical Analysis of Cybersecurity Incidents.
• Traffic Filtering Mechanisms based on Statistical Engines.
• Anomaly Detection based on Statistical Estimates.
• Examples of Preprocessors in IPS (Intrusion Prevention Systems) and DoS/DDoS Protection Systems.
• Regular Expression Logic and Languages.
• Data Extraction using Regular Expressions.
• Log Search and Filtering using Regular Expressions.
• Cybersecurity Event Correlation Mechanisms.
• Structuring and Forming Cybersecurity Datasets.
• Constructing a Data Processing Platform: OpenSearch Example.
• Structured Query Languages (SQL/NoSQL concepts).
• Kusto Query Language (KQL) and Kibana Query Language (KQL).
• Data Filtering for Anomaly Detection.
• Data Filtering for Data Breach Detection.
• Anomaly Detection using Machine Learning Algorithms.
• Traffic Filtering Mechanisms based on Machine Learning Algorithms.
• AI Algorithms for Enterprise Cybersecurity Support.
Сourse purchase
options
individual
Cost — $1,787.75
Group online classes
Unlimited access to all the materials
Live webinars with teachers
Homework
Exam with certificate
To confirm course dates fill out the form.
SUBMIT YOUR APPLICATION
corporate
Cost from $1,787.75
To obtain information about the final cost and clarify the date of the course, please fill out the form.
SUBMIT YOUR APPLICATION
