Principles of Information Security
Principles of Information Security
5th Edition
ISBN: 9781285448367
Author: Michael E. Whitman, Herbert J. Mattord
Publisher: Course Technology
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Chapter 4, Problem 8RQ

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Security Framework:

  • In cloud computing, the security framework is a method to make computing free from privacy threats and security risks.
  • The cloud drive is described as reliability, authentication and confidentiality of private data that have been challenged.
  • The cloud account is easily accessible by everyone and at the same time it is more protected.

Management controls:

  • Management controls are security processes executed by the security administration of an organization and are designed by strategic planners.
  • These security controls reviews and addresses risk management to describe the requirement and scope of legal compliance and set rules for the maintenance of the whole security life cycle.
  • It would be applied as piece of the security framework by applying complete instructions for its conduct, as well as address, plan and execute the security scheduling process and security program management.

Operational controls:

  • Operational controls management and does lower-level scheduling function that acts with the operational functionality of protection in the organization...

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Please provide me with the output  image of both of them . below are the diagrams code I have two diagram : first diagram code  graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…
I'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again  The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges…
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