Emplyee Ant colony optimization for classifying KDD99 data set into its classes
The attaced files are:
1- KDDtrain ; is the origion data base have 5000 records. (train data)
2- Normalized data.csv ; is the data after preprocessing it
By using Ant colony Optimization ; the flaollowing task is required:
1- the last Column in the dataset represent the class which is either (Normal or Attack)
2- the Attack class consist of 4 classes (Dos,U2R,R2L,Prob)
3- The above 4 classes in step 2 have many types and the table bellow E7777117>1.0 will state them.
4-in the normalized data set u will find that i have mark each attack so (1=Dos , 2=U2R , 3=R2L ,4=Prob)
5- Task is classify the class label into either (Normal or Attack(Dos, U2R,R2L,Prob)by Ant colony .
Hint :Use matlab (10) for this task without using Matlab toolbox 0.±.- mathwork.com (it's unacceptable).
6- use metrics such as Detection Rate to evalute the results.
7- The code should be well commented.
Attachment:- Assignment.rar