Answer: 3) Information extortion
Explanation:
Information extortion is defined as the technique through which a person tends to steal and hold the confidential and important information with theirself and then demand ransom for returning it.
- Releasing information to corrupt and attacking sources can be a consequence if the demand or condition is not fulfilled by the authorized party or person.
- Other options are incorrect because espionage is spying military information.Competitive intelligence is used for managing strategic plans.Intellectual property is created through mind power.
- Thus, the correct option is option(3).
Answer:
Explanation:
There are many weaknesses/vulnerabilities, some of which are the following...
Default Network Hardware, many individuals will go out and buy a new router and install it in their home. These devices come with a preset configuration including a preset security password which is many times a default password used for every router of the same model. This can be easily obtained by anyone who can then access the network.
Access Point hacking, an experienced individual can use a packet sniffer to detect the SSID that is frequently sent from the router in order to create an access point to be able to access the network.
WEP encryption is another vulnerability. These are very low security passwords that can be cracked using different software in a short period of time.
These are some of many vulnerabilities that wireless local networks have, but there are also many precautions and security measures that can be taken to prevent them.
The expression NOT (3+2=7) evaluates as TRUE because is is NOT the case that 3+2=7.
Let me know if you have any questions.
Answer:
- import math
-
- def standard_deviation(aList):
- sum = 0
- for x in aList:
- sum += x
-
- mean = sum / float(len(aList))
-
- sumDe = 0
-
- for x in aList:
- sumDe += (x - mean) * (x - mean)
-
- variance = sumDe / float(len(aList))
- SD = math.sqrt(variance)
-
- return SD
-
- print(standard_deviation([3,6, 7, 9, 12, 17]))
Explanation:
The solution code is written in Python 3.
Firstly, we need to import math module (Line 1).
Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).
We can test the function using a sample list (Line 20) and we shall get 4.509249752822894
If we pass an empty list, a ZeroDivisionError exception will be raised.
D. Time
It’s easy to access any time even after it was just purchased.
I hope this helped
