Machine learning python experts required
Budget: $10 – $30 USD
My project is intrusion detection system using grey wolf optimization algorithm in IoT.
So, we basically need to do like a web based application as well with all the UI too.
But, my super-visor said that my algorithm need to be compared to other algorithm
to see the efficacy between two algo, but can you implement one more algo in the system
so that we can see the comparison.
so this is my project requirements is:
1. It has to have 2 algorithms Grey wolf optimization and another one maybe u can choose? so that we can compare? maybe compare it with ANT Optimization?
2. Must have User Interface to key in the parameter for the result to compare with one have a good efficacy on IDS,
Project Objectives
1. To test the accuracy of Intrusion Detection System using the NSL-KDD dataset on four types of attacks.
2. To develop the Intrusion Detection System using Grey Wolf Optimization.
3. To evaluate accuracy of the Intrusion Detection System using NSL-KDD dataset.
Based on the research I had done, they use Phyton, maybe we can go for Phyton.
Because all the information was there (my previous report) its just that
I haven’t done any improvement on the other algorithm.
Deadline: 5 days ( or less)
Note: I attach two files one for requirement and another one for more explanation for details
So, we basically need to do like a web based application as well with all the UI too.
But, my super-visor said that my algorithm need to be compared to other algorithm
to see the efficacy between two algo, but can you implement one more algo in the system
so that we can see the comparison.
so this is my project requirements is:
1. It has to have 2 algorithms Grey wolf optimization and another one maybe u can choose? so that we can compare? maybe compare it with ANT Optimization?
2. Must have User Interface to key in the parameter for the result to compare with one have a good efficacy on IDS,
Project Objectives
1. To test the accuracy of Intrusion Detection System using the NSL-KDD dataset on four types of attacks.
2. To develop the Intrusion Detection System using Grey Wolf Optimization.
3. To evaluate accuracy of the Intrusion Detection System using NSL-KDD dataset.
Based on the research I had done, they use Phyton, maybe we can go for Phyton.
Because all the information was there (my previous report) its just that
I haven’t done any improvement on the other algorithm.
Deadline: 5 days ( or less)
Note: I attach two files one for requirement and another one for more explanation for details