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Verdich [7]
3 years ago
11

Determine encryption that is needed to provide security for the company’s system. This will include plans to address: Passive an

d active network attacks Symmetric encryption Dissecting block and stream ciphers Dissecting the public-key algorithms Creating key pairs Passwords, hash, salt, and rainbow tables Secure Sockets Layer Email and IP security
Computers and Technology
1 answer:
Lana71 [14]3 years ago
3 0

Answer:

Companies that offer encryption services

Explanation:

There are currently many companies that offer very complete encryption systems.

• SafeNet data encryption provides (BD encryption, token, files, virtual machines, network, moving data and documents).

• Gemalto encryption (data at rest and in motion, all that corresponds to digital security).

• You can also choose Eset.

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The Monte Carlo method is commonly used to approximate areas or volumes of shapes. In this problem, we will use Monte Carlo to f
sdas [7]

Answer:

import numpy as np

import matplotlib.pyplot as plt

def calculate_pi(x,y):

   points_in_circle=0

   for i in range(len(x)):

       if np.sqrt(x[i]**2+y[i]**2)<=1:

           points_in_circle+=1

       pi_value=4*points_in_circle/len(x)

       return pi_value

length=np.power(10,6)

x=np.random.rand(length)

y=np.random.rand(length)

pi=np.zeros(7)

sample_size=np.zeros(7)

for i in range(len(pi)):

   xs=x[:np.power(10,i)]

   ys=y[:np.power(10,i)]

   sample_size[i]=len(xs)

   pi_value=calculate_pi(xs,ys)

   pi[i]=pi_value

 

print("The value of pi at different sample size is")

print(pi)

plt.plot(sample_size,np.abs(pi-np.pi))

plt.xscale('log')

plt.yscale('log')

plt.xlabel('sample size')

plt.ylabel('absolute error')

plt.title('Error Vs Sample Size')

plt.show()

Explanation:

The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.

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300134223+304532264440=
sweet [91]

Answer:

304,832,398,663

hope it helps

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