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Data security

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Introduction

Welcome to the book on Data Security. This book has been designed to help you understand the fundamentals of data security and its importance in our digital world. By the end of this book, you will have acquired a greater understanding of the vital aspects of data protection and be able to confidently apply knowledge and skills to your own workplace or personal environment. You will learn about topics such as encryption, authentication, access control, vulnerability management, cyber-crime prevention and more. Additionally, practical exercises will allow you to gain hands-on experience in applying the theoretical concepts discussed in class. We look forward to having you join us on this journey towards a better understanding of how we protect our digital assets!

 

Objectives

  1. Recognize threats to data security and learn strategies to mitigate them.
  2. Understand relevant laws, regulations, and policies related to data security.
  3. Develop best practices for handling sensitive data, including how it is collected, stored, and accessed.
  4. Learn methods for protecting networks from unauthorized access and viruses.
  5. Identify vulnerabilities in the organization’s systems and develop appropriate solutions for them.
  6. Create a comprehensive plan for responding to cyber-attacks or security incidents promptly and effectively.
  7. Gain an understanding of encryption principles designed to keep information secure while in transit across networks or devices

 

 

Table of Contents

Module 1: Introduction to Data Security

Overview of data security principles and regulations, as well as types of threats to data such as hacking, malware, phishing and other cyber-attacks; overview of the importance of data security.

 

Module 2: Physical Security of Data

Overview of physical security controls such as firewalls, server rooms and access control systems; understanding the importance of physical safety when handling confidential information.

 

 

 

Module 3: Computer Network Security

Overview of different network layers and their importance in data security; understanding the necessity for strong passwords and encryption algorithms; recognizing the different types of cyber-attacks that can occur on a network; overview of methods for detecting malicious activity on a network.

 

Module 4: Database Security 

Overview of database management systems (DBMS); learning how to create secure databases using authentication protocols; recognizing potential vulnerabilities in databases from insider or external sources; understanding the use and protection associated with database backups.

 

Module 5: Application Security 

Learning how to design secure software applications by utilizing features like input validation, encryption algorithms, authentication mechanisms, etc.; recognition and mitigation techniques used to combat various forms of application attacks such as injection attacks, cross-site scripting (XSS) attacks, buffer overflows, etc.

 Module 6: Risk Management & Response Strategies 

Understanding risk identification process for organizational assets within an organization’s environment- program management processes to monitor changes related to asset values over time; development & implementation strategies for responding effectively to any identified risks including disaster recovery plans.

 

Module 7: Exams 

 

Introduction

Welcome to the book on Data Security. This book has been designed to help you understand the fundamentals of data security and its importance in our digital world. By the end of this book, you will have acquired a greater understanding of the vital aspects of data protection and be able to confidently apply knowledge and skills to your own workplace or personal environment. You will learn about topics such as encryption, authentication, access control, vulnerability management, cyber-crime prevention and more. Additionally, practical exercises will allow you to gain hands-on experience in applying the theoretical concepts discussed in class. We look forward to having you join us on this journey towards a better understanding of how we protect our digital assets!

 

Objectives

  1. Recognize threats to data security and learn strategies to mitigate them.
  2. Understand relevant laws, regulations, and policies related to data security.
  3. Develop best practices for handling sensitive data, including how it is collected, stored, and accessed.
  4. Learn methods for protecting networks from unauthorized access and viruses.
  5. Identify vulnerabilities in the organization’s systems and develop appropriate solutions for them.
  6. Create a comprehensive plan for responding to cyber-attacks or security incidents promptly and effectively.
  7. Gain an understanding of encryption principles designed to keep information secure while in transit across networks or devices

 

 

Table of Contents

Module 1: Introduction to Data Security

Overview of data security principles and regulations, as well as types of threats to data such as hacking, malware, phishing and other cyber-attacks; overview of the importance of data security.

 

Module 2: Physical Security of Data

Overview of physical security controls such as firewalls, server rooms and access control systems; understanding the importance of physical safety when handling confidential information.

 

 

 

Module 3: Computer Network Security

Overview of different network layers and their importance in data security; understanding the necessity for strong passwords and encryption algorithms; recognizing the different types of cyber-attacks that can occur on a network; overview of methods for detecting malicious activity on a network.

 

Module 4: Database Security 

Overview of database management systems (DBMS); learning how to create secure databases using authentication protocols; recognizing potential vulnerabilities in databases from insider or external sources; understanding the use and protection associated with database backups.

 

Module 5: Application Security 

Learning how to design secure software applications by utilizing features like input validation, encryption algorithms, authentication mechanisms, etc.; recognition and mitigation techniques used to combat various forms of application attacks such as injection attacks, cross-site scripting (XSS) attacks, buffer overflows, etc.

 Module 6: Risk Management & Response Strategies 

Understanding risk identification process for organizational assets within an organization’s environment- program management processes to monitor changes related to asset values over time; development & implementation strategies for responding effectively to any identified risks including disaster recovery plans.

 

Module 7: Exams 

 

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