Page 1 of 6 COIT XXXXXXXXXXAdvanced Network Security, Term 1, 2021 Assignment 1 Questions Due date: 11:45 pm Friday 23 April 2021 (Week 6) ASSESSMENT Weighting: 35% 1 Length: N/A Instructions Attempt...

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Answered 6 days AfterApr 08, 2021COIT20262Central Queensland University

Answer To: Page 1 of 6 COIT XXXXXXXXXXAdvanced Network Security, Term 1, 2021 Assignment 1 Questions Due date:...

Amit answered on Apr 14 2021
152 Votes
Assignment 1 Submission
COIT20262    Assignment 1 Submission    Term 1, 21
COIT20262 - Advanced Network Security, Term 1, 2021
Assignment 1 Submission
    Due date:
    11:45 pm Friday 23 April 2021 (Week 6)
    ASSES
SMENT
    Weighting:
    35%
    1
    Length:
    N/A
    
Student Name:        enter your name
Student ID:        id    
Campus:        campus
Tutor:            tutor
Packet Capture and Analysis
Part (a)
The required three nodes are created on VMWare as shown:
Now the implementation of topology 5 and assigning port number is:
Thus, the required file is attached.
Part (b)
The required sequence diagram is:
Part (c)
Yes, the changed value of checksum will let the server know that the data or message modification is done. Data integrity is mainly maintained with checksum which is sent along the data packet. Once the server on node 3 receives the data packet then comparison of checksum will be performed and the mismatch values of both checksums let this server know that data modification is performed by any attacker.
Each data modification will be known to the server, so implementation of encryption before making any from the router can prevent it. For preventing the message modification, the server on node 3 can make use of symmetric or fish algorithm.
Part (d)
Yes, the server will know this attack because of changed session ID with replay attack. The possible delay in the data transmission will also let the server on node 3 know that the replay attack is performed by any attacker.
Attack Detection from Real Intrusion Dataset
Part (a)
The screenshot of Weka showing performance details of all applied five classifiers is:
Part (b)
The matrix showing comparison of results for three selected classifiers is:
    Classifier
    Accuracy
    Precision
    Recall
    F1-score
    False positive rate
    ZeroR
    100%
    0.049
    1.000
    0.062
    1.000
    DecisionTable
    100%
    0.042
    1.000
    0.071
    1.000
    OneR
    100%
    0.097%
    0.126
    0.087
    1.000
Part (c)
The rules of these classifiers are considered as best because:
· These are allowed for cross validations.
· The...
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