Supervised learning, such as DT, SVM,RF, is mainly used for misuse detection rather than anomaly detection. Statistical Learning and unsupervised learning, such as GAA, Clustering are used for ADS.
Hi Sumit. I am trying to replicate or create a new dataset as per my network details. So how can we retrieve all the mentioned features. Will a TCPdump, data cleaning/ preprocessing and fetching for the important features be a good approach?
It is never possible to detect any real time attack using all network dataset like KDDCUP, NSLKDD, ISCX, BOTNET etc.? How many peoples says it's IDS don't no?
Hello sir, I am working on network anomaly detection using a machine learning research topic. Can I get some assistance for the implementation part? kindly provide your email ID to seek guidance related to my research work. Thanks in advance.
sir can i contact you i need help i'm working on research in this area. " Anomaly detection for Intrusion Detection in Cloud Computing Environment" plz can u send ur mail id sir.
