EBK BUSINESS DRIVEN TECHNOLOGY
7th Edition
ISBN: 8220103675451
Author: BALTZAN
Publisher: YUZU
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Chapter B, Problem B7.8MBD
Explanation of Solution
Filter search results:
- The Google system was been targeted by hackers to retrieve information regarding Chinese human rights activists.
- The initial search result of Google helped hackers to retrieve personal information regarding Chinese activists.
- It is a clear indication of data breach and it could not be accepted.
- Hence, china wanted to filter search results based on censorship rules of china.
Censorship rules:
- Yes, Agreed. Each country follows its own censorship rules.
- It is responsibility of a nation to prevent and avoid data breaches for its citizens.
- It may even create potential threats to those activists who were involved in some kind of movement.
- Hence, censorship rules are well enough to maintain security of people’s identity...
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Outline the overall steps for configuring and securing Linux servers
Consider and describe how a mixed Operating System environment will affect what you have to do to protect the company assets
Describe at least three technologies that will help to protect CIA of data on Linux systems
Node.js, Express, Nunjucks, MongoDB, and Mongoose
There are a couple of programs similar to this assignment given in the lecture
notes for the week that discusses CRUD operations. Specifically, the Admin
example and the CIT301 example both have index.js code and nunjucks code
similar to this assignment. You may find some of the other example programs
useful as well. It would ultimately save you time if you have already studied
these programs before giving this assignment a shot. Either way, hopefully
you'll start early and you've kept to the schedule in terms of reading the lecture
notes.
You will need to create a database named travel using compass, then create a
collection named trips. Use these names; your code must work with my
database. The trips documents should then be imported unto the trips collection
by importing the JSON file containing all the data as linked below. The file itself
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Chapter B Solutions
EBK BUSINESS DRIVEN TECHNOLOGY
Ch. B - Prob. B1.1MBDCh. B - Prob. B1.2MBDCh. B - Prob. B1.3MBDCh. B - Prob. B1.4MBDCh. B - Prob. B1.5MBDCh. B - Prob. B1.6MBDCh. B - Prob. B2.1MBDCh. B - Modeling a Business Process Do you hate waiting in...Ch. B - Prob. B2.3MBDCh. B - Prob. B2.4MBD
Ch. B - Prob. B2.5MBDCh. B - Prob. B3.1MBDCh. B - Prob. B3.2MBDCh. B - Prob. B4.1MBDCh. B - Prob. B4.2MBDCh. B - Prob. B4.3MBDCh. B - Prob. B4.4MBDCh. B - Prob. B4.5MBDCh. B - Prob. B4.6MBDCh. B - Prob. B4.7MBDCh. B - Prob. B4.8MBDCh. B - Prob. B4.9MBDCh. B - Prob. B4.10MBDCh. B - Prob. B4.11MBDCh. B - Prob. B5.1MBDCh. B - Prob. B5.2MBDCh. B - Prob. B5.3MBDCh. B - Prob. B5.4MBDCh. B - Prob. B5.5MBDCh. B - Prob. B5.6MBDCh. B - Prob. B6.1MBDCh. B - Prob. B6.2MBDCh. B - Prob. B6.3MBDCh. B - Prob. B6.4MBDCh. B - Prob. B6.5MBDCh. B - Prob. B7.1MBDCh. B - Prob. B7.2MBDCh. B - Prob. B7.3MBDCh. B - Prob. B7.4MBDCh. B - Prob. B7.5MBDCh. B - Prob. B7.6MBDCh. B - Prob. B7.7MBDCh. B - Prob. B7.8MBDCh. B - Prob. B7.9MBDCh. B - Prob. B7.10MBDCh. B - Prob. B7.11MBDCh. B - Prob. B8.1MBDCh. B - Prob. B8.2MBDCh. B - Prob. B9.1MBDCh. B - Prob. B9.2MBDCh. B - Prob. B9.3MBDCh. B - Prob. B9.4MBDCh. B - Prob. B9.5MBDCh. B - Prob. B9.6MBDCh. B - Prob. B9.7MBDCh. B - Prob. B9.8MBDCh. B - Prob. B9.9MBDCh. B - Prob. B9.10MBDCh. B - Prob. B10.1MBDCh. B - Prob. B10.2MBDCh. B - Prob. B10.3MBDCh. B - Prob. B10.4MBDCh. B - Prob. B10.5MBDCh. B - Prob. B11.1MBDCh. B - Prob. B11.2MBDCh. B - Prob. B11.3MBDCh. B - Prob. B11.4MBDCh. B - Prob. B12.1MBDCh. B - Prob. B12.2MBDCh. B - Prob. B12.3MBDCh. B - Prob. B12.4MBDCh. B - Prob. B12.5MBDCh. B - Prob. B12.6MBD
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- Write a short paper (1 page/about 500 words) summarizing what we as System Admins can do to protect the CIA of our servers. Outline the overall steps for configuring and securing Linux servers Consider and describe how a mixed Operating System environment will affect what you have to do to protect the company assets Describe at least three technologies that will help to protect CIA of data on Linux systems Required Resourcesarrow_forwardusing r language Estimate the MSE of the level k trimmed means for random samples of size 20 generated from a standard Cauchy distribution. (The target parameter θis the center or median; the expected value does not exist.) Summarize the estimates of MSE in a table for k= 1,2,...,9arrow_forwardusing r language Estimate the MSE of the level k trimmed means for random samples of size 20 generated from a standard Cauchy distribution. (The target parameter θis the center or median; the expected value does not exist.) Summarize the estimates of MSE in a table for k= 1,2,...,9arrow_forward
- using r language The data law82 in bootstrap library contains LSAT and GPA for 82 law schools. Compute a 95% bootstrap t confidence interval estimates for the correlation statisticsarrow_forwardusing r language The data law82 in bootstrap library contains LSAT and GPA for 82 law schools. Compute a 95% bootstrap t confidence interval estimates for the correlation statisticsarrow_forwardusing r langauge The data law82 in bootstrap library contains LSAT and GPA for 82 law schools. Compute and compare the three 95% bootstrap confidence interval estimates for the correlation statistics.arrow_forward
- What is the number of derangements of size k from the set {1,2,...n} to the set {1,2,...n} so that f(x) != x exactly k times with 1 <= k <= narrow_forwardTrace a State Space Tree introduced in the Chapter 5.1 using algorithms depth_first_search (page 205), checknode (page 207), and expand (page 210). Assume that State Space Tree is a two-level full binary tree (root is level 0). Node #2 (according to notation used in the Figure 5.1, page 204) is non-promising. Count the number of steps performed by each of those three algorithms. Consider execution of instructions like "visit node" or execution of "promising function" as one step, "write a solution" as an exit call. Note: no need to print or a draw a whole tree. Just provide three numbers as an answerarrow_forwardParking Tickets Table St ID L_Name ☐ F_Name Phone_No St_Lic Lic_No Ticket# Date Code Fine 38249 38249 82453 Green 82453 Green 82453 Green Brown Thomas 111-7804 FL BRY 123 15634 10/17/06 2 $25 Brown Thomas 111-7804 FL BRY 123 16017 11/13/06 1 $15 Sally 391-1689 AL TRE 141 14987 10/05/06 3 $100 Sally 391-1689 AL Sally 391-1689 AL TRE 141 TRE 141 16293 11/18/06 1 $15 17892 12/13/06 2 $25 The functional dependencies are: St_ID → L_Name, F_Name, Phone_No, St_Lic, Lic_No St_Lic → Lic_No Code → Fine St_ID, Ticket # → Date 1. In what normal form is the relation?| 2. Convert PARKING TICKET to a set of 3NF relations.arrow_forward
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