Supervisory Control and Data Acquisition (SCADA) systems are used to monitor and control industrial processes. In 2007, it was demonstrated that hackers with access to the SCADA system in a power generation plant could cause an industrial turbine to begin "spinning wildly out of control until it becomes a smoking hulk and power shuts down." (Schneier) Suppose such an attack was launched against a power plant. Which security goal (CIA) does the attack violate? Explain your answer.

Provide at least 4 examples of different types of SQL injection that can occur and the impact that    each might have. Brief expalnation

There are several typical cube computation methods such as Multi-Way, BUC, and Star-cubing. Briefly describe each one of these methods outlining the key points.

I need a unique answer and without handwriting, please.

Nurad, Inc. brought this suit to recover costs it incurred in removing several underground storage tanks (USTs) from property it owns in Baltimore, Maryland. From 1905 to 1963, William E. Hooper & Sons (Hooper Co.) owned the site known as Hooperwood Mills. At some point before 1935, Hooper Co. installed tanks for the storage of mineral spirits which it used to coat fabrics in its textile finishing plant. In 1962, Hooper Co. sold Hooperwood Mills to Monumental Enterprises, Inc. without removing the mineral spirits or the tanks. In 1963, Monumental leased several of the buildings on the site to various tenants, including Allstates Moving. In 1976, Monumental Enterprises sold Hooperwood Mills to Kenneth Mumaw, who subdivided the property and sold a portion of it to Nurad. Nurad, which manufactured antennae, never used the tanks, nor knew of their existence. However, in 1987 the Maryland Department of the Environment ordered Nurad to remove the tanks from the ground or fill them with sand or concrete. Nurad asked Hooper Co., Mumaw, and Allstates Moving to contribute toward the $226,000 in cleanup cost, but they all refused. (Monumental Enterprises was no longer in existence) Who would be liable for the clean up under CERCLA? Explain. Nurad, Inc. v. William E. Hooper & Sons, 966 F.2d 837. (CA-4, 1992)

Use the information below to answer the following question.

The Boxwood Company sells blankets for $60 each. The following was taken from the inventory records during May. The company had no beginning inventory on May 1.

Assuming that the company uses the perpetual inventory system, determine the cost of merchandise sold for the sale of May 20 using the FIFO inventory cost method.

a.$120

b.$180

c.$144

d.$136

Consider the following time series data.

1. Graph this data series (use the X-Y scatter/chart tool in Excel for this plot). What type of pattern(s) exists in the data? Does the graph suggest that these data exhibit seasonality? What is the length of the season in this particular case?
2. Determine the seasonal factors for each quarter using METHOD 1 (multiplicative seasonal model).
3. Compute the quarterly forecasts for next year (Year 4)?

1.Please list and describe three ways to generate entrepreneurial opportunities.

2. Please list and describe four criteria you would use to evaluate business ideas (hint: "window of opportunity")

Review Technology Plug-In 3 Problem Solving Using Excel 2016. Complete exercise 1. Production Errors
Established in 2002, t-shirts.com has rapidly become the place to find, order, and save on T-shirts. One huge selling factor is that the company manufactures its own T-shirts. However, the quality manager for the production plant, Kasey Harnish, has noticed an unacceptable number of defective T-shirts being produced. You have been hired to assist Kasey in understanding where the problems are concentrated. He suggests using a PivotTable to perform an analysis and has provided you with a data file, T3_TshirtProduction_Data.xls.

The following is a brief definition of the information within the data file:
A. Batch: A unique number that identifies each batch or group of products produced.
B. Product: A unique number that identifies each product.
C. Machine: A unique number that identifies each machine on which products are produced.
D. Employee: A unique number that identifies each employee producing products.
E. Batch Size: The number of products produced in a given batch.
F. Num Defect: The number of defective products produced in a given batch.

Make fifteen pivottables as follows.

1. Four one-factor pivottables that investigate the defective rates. Use Product, Machine, Employee, and Batch Size as row fields and Num Defect as the value field to make four pivottables.

2. Six two-factor pivottables. Use Product x Machine, Product x Employee, Product x Batch Size, Machine x Employee, Machine x Batch Size, Employee x Batch Size as row and column fields respectively. For example, when you use Product x Machine factors, you put Product as the row field and Machine as the column field. Still, Num Defect is the value field.

3. Four three-factor pivottables. Use Product x Machine x Employee, Product x Machine x Batch Size, Product x Employee x Batch Size, Machine x Employee x Batch Size as row and column fields respectively. For example, when you use Product x Machine x Employee factors, you put Product and Machine as the row fields and Machine as the column field. Still, Num Defect is the value field.

4. One four-factor pivottable. Use Product x Machine x Employee x Batch size as row and column fields. The first three factors can be the row fields, and the last one is the column field. Still, Num Defect is the value field.

Here is the data for this question

5) Review the selection process from a Reynolds perspective. What ideas used in the selection process did you learn from and would retain? What would you do differently? According to Rogers

For the given data, crash the project completely.

1.What is the normal project duration? = BLANK-1

2. Whatis the normal project cost? = BLANK-2

3. What is the project cost when fully crashed? = BLANK-3

4. Which activities were crashed to reach the final crashed duration? List in order
= BLANK-4

5. What is the project duration when completely crashed? = BLANK-5

Consider the following table showing multiple transactions. Find all frequent itemsets using Apriori, then list all the strong association rules knowing that min_sup count = 2, and min_conf = 60%.

without handwriting, pleas.

What is Theoretical Dimentions Analysis of Blumer and Goffman; Macro or micro, Materialist or idealistic, conflict or consensus, determined or free will and scientific ot Not ?

Views are virtual in the database but Materialized view are persistent. Discuss the need to have materialized view instead of views and in what condition No materialization if preferred.

I need a unique answer and without handwriting, please.

Write a program in C as per following requirements:

a) It takes two fields from the user 1) NAME and 2) age. Hint: (Take the name of employee

in an array of 50 characters).

b) It saves the data given by the user in a doubly link list.

c) As soon a record is entered by the user it should be given a record number or serial

number.

d) Program should have a menu for

a. Entering new data.

b. Printing a particular record by serial number.

c. Printing the whole data with serial numbers.

d. Exit the program.

In a random sample of 88 ears of corn, farmer Carl finds that 9 of them have worms. He wants to find the 99% confidence interval for the proportion of all his corn that has worms.

(a) What is the point estimate for the proportion of all of Carl's corn that has worms? Round your answer to 3 decimal places.

(b) What is the critical value of z (denoted zα/2) for a 99% confidence interval? Use the value from the table or, if using software, round to 2 decimal places. zα/2 =

(c) What is the margin of error (E) for a 99% confidence interval? Round your answer to 3 decimal places. E =

(d) Construct the 99% confidence interval for the proportion of all of Carl's corn that has worms. Round your answers to 3 decimal places. < p <

(e) Based on your answer to part (d), are you 99% confident that less than 22% of Carl's corn has worms?

No, because 0.22 is above the upper limit of the confidence interval.

Yes, because 0.22 is below the upper limit of the confidence interval.

Yes, because 0.22 is above the upper limit of the confidence interval.

No, because 0.22 is below the upper limit of the confidence interval. Additional Materials