Hello Everyone
hope you all are fine
I am working on Intrusion Detection System (IDS), so to implement it on real time on my system i need some help regarding that,
how my system can decide that the packets on network in real time scenarios is either malicious or normal one.
Anyone here who is having an idea of Real time Feature Selection/Extraction/Detection (on run time not on Offline/Virtual bed test setup ). Any good method/Algorithm/any good Journal reference might help me?
your little help would be appreciated
Regards
I am not familiar with Intrusion Detection System. However, if you discuss about feature extraction, selection, and detection, there is plenty of methods that can be used. Either traditional machine learning algorithms (PCA, LDA, sparse learning ... etc) or deep learning can potential candidate for you to use.
You can google it and you will find quite many publications discussing this.
Best of luck
Dear Muhammad Hassan Zaib,
Look the link, maybe useful.
https://arxiv.org/ftp/arxiv/papers/1712/1712.08618.pdf
https://www.researchgate.net/publication/276431000_Feature_Extraction_or_Feature_Selection_for_Text_Classification_A_Case_Study_on_Phishing_Email_Detection
Article Feature-Extraction and Feature-Selection for Classifying Cyb...
Regards, Shafagat
Interesting, best wishes ! I am sure you will get some support from the technical person working in this field through RG.
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