EBK BUSINESS DRIVEN TECHNOLOGY
7th Edition
ISBN: 8220103675451
Author: BALTZAN
Publisher: YUZU
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Expert Solution & Answer
Chapter 7, Problem 6MBD
Explanation of Solution
Importance of securing data:
It is important to secure data because:
- Securing data prevents the compromise or loss of data contained in the
database , an event which could have serious ramifications for any company. - Securing data block attacks from unauthorized users or hackers which prevents the loss of sensitive information.
- Securing data prevents malware infections and stop viruses stealing data.
- Securing data ensures that physical damage to the server doesn’t result in the loss of data.
- Securing data prevents data loss through corruption of files or
programming errors.
Customer data hacking:
Following are the things that can happen when someone accesses the customer database:
- They can spend all the money: If someone manages to steal financial information from the user, then they can drain the bank accounts, drain your credit and debit cards, and quickly deposit all of the money into their accounts in no time at all.
- They can put the safety of the user and user’s family at risk: If someone was able to access addresses, phone numbers, drivers license numbers, passport numbers and PO Box addresses then they can put the physical safety of user and user’s family at risk.
- They can kill credit rating: When someone has user’s bank account and credit card details, the damage they can do to the users financial state is incredible.
Changing information in customer data:
When someone changes information in customer data are:
- Personally identifiable information is defined as data that can be used to identify, locate, or contact a specific individual and when hacker changes information then attackers can often go for malicious attacks that impact the victim directly, by applying for loans or credit cards under the user’s name, filing fraudulent income tax returns, and applying for loans under the victim’s name.
- Financial information such as banking information, billing accounts, insurance information and other data that can be used to access accounts or process financial transactions which when manipulated could greatly impact a user’s finances...
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Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Alternating Subsequence problem
described below:
Input: A sequence of n integers
Output: The length of the longest subsequence where the numbers alternate between being larger and
smaller than their predecessor
The algorithm must take O(n²) time. You must also write and explain the recurrence.
Example 1:
Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4]
Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4])
Example 2:
Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8]
Output: 8 ([4, 7, 2, 5, 3, 8, 0,4])
(Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below:
Input: An amount of money C and a set of n possible coin values with an unlimited supply of each
kind of coin.
Output: The smallest number of coins that add up to C exactly, or output that no such set exists.
The algorithm must take O(n C) time. You must also write and explain the recurrence.
Example 1:
Input: C24, Coin values = = [1, 5, 10, 25, 50]
Output: 6 (since 24 = 10+ 10+1+1 +1 + 1)
Example 2:
Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50]
Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de-
scribed below
Input: Two strings x = x1x2 xm and y = Y1Y2... Yn
Output: The length of the longest subsequence that is common to both x and y.
.
The algorithm must take O(m n) time. You must also write and explain the recurrence.
(I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that
Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk)
Example 1:
Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw'
Output: 6 ('ghnost' is the longest common subsequence to both strings)
Example 2:
Input: x = 'ahshku' and y = ‘asu'
Output: 3 ('asu' is the longest common subsequence to both strings)
Chapter 7 Solutions
EBK BUSINESS DRIVEN TECHNOLOGY
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