CIA Model: Confidentiality, Integrity, and Availability
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Questions and Answers

What is the primary goal of confidentiality in information security?

  • To guarantee system availability
  • To ensure data integrity
  • To limit access to sensitive information (correct)
  • To enhance system performance
  • Which of the following is NOT a common technique used to achieve confidentiality?

  • Data redundancy (correct)
  • Access control mechanisms
  • Authentication methods
  • Encryption algorithms
  • Why is confidentiality crucial in machine learning-based software systems?

  • To ensure system scalability
  • To enhance model interpretability
  • To handle large volumes of sensitive data (correct)
  • To optimize resource utilization
  • What is the primary consequence of failing to maintain confidentiality in information systems?

    <p>Breach of user trust and regulatory violations</p> Signup and view all the answers

    Which of the following is NOT a common type of sensitive information that requires confidentiality protection?

    <p>Public domain data</p> Signup and view all the answers

    What is the primary reason for implementing confidentiality measures in information systems?

    <p>To protect sensitive information</p> Signup and view all the answers

    Study Notes

    Overview of the CIA Model: Confidentiality, Integrity, and Availability

    Confidentiality, integrity, and availability (CIA) are the cornerstone principles of information security. These concepts were introduced more than six decades ago when they were first mentioned in the U.S. Department of Defense's document "SCI-TECH Secure Communications Introductory Training". However, over time, these principles have evolved and gained different perspectives across various industries and contexts.

    Confidentiality

    In the context of information security, confidentiality refers to the protection of sensitive information by limiting access to authorized individuals only. This principle aims to prevent unauthorized persons from gaining access to protected information, ensuring the secrecy and privacy of the data.

    For example, in machine learning-based software systems, confidentiality is crucial because these systems often handle large volumes of sensitive data, such as personal identifiable information (PII) and other types of data that need to remain private. Safeguarding this information from potential attackers is essential to maintain trust among users and fulfill regulatory requirements.

    To achieve confidentiality, appropriate measures can be implemented, including encryption, authentication, and access control mechanisms. These techniques help ensure that only authorized individuals are able to view, modify, or delete sensitive information.

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    Description

    Learn about the CIA model - Confidentiality, Integrity, and Availability - which are fundamental principles of information security. Understand how confidentiality ensures the protection of sensitive data by restricting access to authorized users and preventing unauthorized access.

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