网络安全风险管理

Cybersecurity Risk Management

Learn key principles of risk analysis, risk assessment and risk mitigation for information security using both qualitative and quantitative methodologies.

544 次查看
罗切斯特理工学院
edX
  • 完成时间大约为 8
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Information security risk management framework and methodologies

Identifying and modeling information security risks

Qualitative and quantitative risk assessment methods

Articulating information security risks as business consequences

课程概况

Cybersecurity risk management guides a growing number of IT decisions. Cybersecurity risks continue to have critical impacts on overall IT risk modeling, assessment and mitigation.

In this course, you will learn about the general information security risk management framework and its practices and how to identify and model information security risks and apply both qualitative and quantitative risk assessment methods. Understanding this framework will enable you to articulate the business consequences of identified information security risks. These skills are essential for any successful information security professional.

The goal of this course is to teach students the risk management framework with both qualitative and quantitative assessment methods that concentrate on the information security (IS) aspect of IT risks. The relationship between the IT risk and business value will be discussed through several industry case studies.

First, you will learn about the principles of risk management and its three key elements: risk analysis, risk assessment and risk mitigation. You will learn to identify information security related threats, vulnerability, determine the risk level, define controls and safeguards, and conduct cost-benefit analysis or business impact analysis.

Second, we will introduce the qualitative and quantitative frameworks and discuss the differences between these two frameworks. You will learn the details of how to apply these frameworks in assessing information security risk.

Third, we will extend the quantitative framework with data mining and machine learning approaches that are applicable for data-driven risk analytics. You will explore the intersection of information security, big data and artificial intelligence.

Finally, you will analyze a series of extended case studies, which will help you to comprehend and generalize the principles, frameworks and analytical methods in actual examples.

This offering is part of the RITx Cybersecurity MicroMasters Program that prepares students to enter and advance in the field of computing security.

课程大纲

Week 1: Evolution of Information Security
Week 2: Risk Management Process, Framework and Life Cycle
Week 3: Quantitative versus Qualitative Risk Assessment
Week 4: Defining Information Security Metrics
Week 5: Analysis Techniques
Week 6: Automating Metrics Calculations and Tools
Weeks 7 & 8: Industry case studies

预备知识

Successful completion of CYBER501x Cybersecurity Fundamentals

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