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Oduvanchick [21]
2 years ago
14

Network forensic analysis. A network forensic analyst is responsible for identifying worms, viruses, and infected nodes in the c

omputer network. A new methodology for finding patterns in data that signify infections was investigated in IEEE Transactions on Information Forensics and Security (May 2013). The method uses multiple filters to check strings of information. For this exercise, consider a data string of length 4 bytes (positions), where each byte is either a 0 or a 1 (e.g., 0010 ). Also, consider two possible strings, named and In a simple single filter system, the probability that and differ in any one of the bytes is .5. Derive a formula for the probability that the two strings differ on exactly of the 4 bytes. Do you recognize this probability distribution?
Computers and Technology
1 answer:
Phantasy [73]2 years ago
5 0
<h3>What is Network forensics ?</h3>

Network forensics is the procedure of tracking packets and reading community site visitors hobby for intrusion or malware detection. It entails figuring out an issue, amassing and reading data, choosing the great troubleshooting response, and imposing it.

The probability distribution is 1.25.

Read more about the probability distribution:

brainly.com/question/24756209

#SPJ1

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def newton(n):

       #Define the variables.

       t = 0.000001

       esti = 1.0

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       #using newton method.

       while True:

               esti = (esti + n / esti) / 2

               dif = abs(n - esti ** 2)

               if dif <= t:

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       #Return the result.

       return esti

#Define the main function.

def main():

   

       #Continue until user press enters.

       while True:

               try:

         

                       #Prompt the user for input.

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                       #display the results.

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4 this is the answer

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A binary tree is full if all of its vertices have either zero or two children. Let Bn denote the number of full binary trees wit
Arlecino [84]

Answer:

(a) B_3 = 1\\B_5 = 2\\B_7 = 5

(b) See attached

(c) B_n = 2^{(n-3)/2}

Explanation:

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