Network Slicing Implementation
Title:- Dynamic Network Slicing and Deep Learning based Intrusion Detection System with Virtual Load Balancing in Edge Enabled SDN/NFV based 5G Networks
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Implementation Plan:
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Step 1: We create a Network, it consists of 100- 5G users, 4- secure agent, 4 - edge assisted switches, 1- controllers and 1 - cloud node [n/W slice node].
Step 2: Initially, the network slicing is performed based on UniqueNet.
Step 3: Next, the 5G users register their ID, role, and fingerprint to the Secure Agent (SA) , and also the SA generates a unique keypad and pseudo-random
number for every user by using Improved Mersenne Twister (IMT) Algorithm.
Step 4: Next, generates the access policies by using Improved Deep Q Network (ImDQN) algorithm.
Step 5: Next, Perform the clustering process by using k-means clustering (KMC) algorithm. and also perform the intrusion detection using Enhanced Bidirectional Generative Adversarial Network (E-BiGAN) algorithm.
Step 6: Next, Identify the optimal switch node for migration, by using Dove Swarm Optimization (DSO).
[The process is based your proposal ]
Step 7: Finally,we plot the results graph for Accuracy, Throughput, Latency, Packet Transmission Rate, Packet Loss Rate, Bandwidth Consumption and Slice Capacity.
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S/W Req:
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1) ns-3.26
2) ubuntu 14.04 [32 bit]
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Execution Steps:
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Open the terminal (ctrl + alt + t)
change the directory on terminal.
First execute the files
change the image locations in the main files.
command to execute :
./waf --run filename --vis
Note:
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1) use our module else you get error.
2)Refer howtoaddour model.txt to add module
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