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Rashid [163]
3 years ago
12

To provide both encryption and integrity protection, wpa2 uses aes encryption with:

Computers and Technology
1 answer:
lara [203]3 years ago
3 0

WPA 2 stands for Wi-Fi Protected Access, version 2. It is the latest protocol that effectively protects 802.11 wireless traffic across a LAN. It belongs to the 802.11 protocol.

To provide both encryption and integrity protection, wpa2 uses aes encryption with Counter and CBC MAC (CCM) Mode.

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The purpose of a switch______link is to be able to carry the traffic for all local VLANs.
alekssr [168]

Answer:

Inter switch link

Explanation:

It is the inter switch link( ISL) that enables to carry the traffic for all local VLANs. Functions of VLANs are firstly, a VLAN allows us to take one physical switch, and break it up into smaller mini-switches. Secondly, every virtual switch, called VLAN, is simply a number assigned to each switch port.

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3 years ago
Who wants to be my tutor?
anzhelika [568]

Answer:

i would but im not big brain

Explanation:

8 0
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A stigma is
mario62 [17]
The answer to your question is A. A mark of social disgrace that sets tyre deviant apart from the rest of society. Hope I helped.
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What technology provides secure access to websites
wlad13 [49]

The technology is HTTPS or Hypertext Transfer Protocol Secure

6 0
3 years ago
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Write a program that computes the minimum, maximum, average, median and standard deviation of the population over time for a bor
rodikova [14]

Answer:

import pandas as pd

df = pd.read_csv('nycHistPop_csv', skiprows=5)

NY_region = list(df.columns[1: -1])

select_region = input("Enter region: ")_capitalize()

if select_region in NY_region:

   pass

else:

   raise("Region must be in New york")

def pop(location):

   # or used describe() to replace all like: print(df[location]_describe())

   print(df[location]_min())

   print(df[location]_max())

   print(df[location]_mean())

   print(df[location]_median())

   print(df[location]_td())

pop(select_region)

Explanation:

Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.

The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.

4 0
3 years ago
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