Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Intrusion detection has become an indispensable defense line in the information security infrastructure. The existing signature-based intrusion detection mechanisms are often not sufficient in detecting many types of attacks. K-means is a popular anomaly intrusion detection method to classify unlabeled data into different categories. Hover, it suffers from the local convergence and high false alarms. , two soft computing techniques, fuzzy logic and swarm intelligence, are used to solve these problems.  proposed SFK-means approach which inherits the advantages of K-means, Fuzzy K-means and Swarm K- means, simultaneously  improve the deficiencies. The most advantages of our SFK-means algorithm are solving the local convergence problem in Fuzzy K- means and the sharp boundary problem in Swarm K- means. The experimental results on dataset KDDCup99 show that our proposed method can be effective in detecting various attacks.
['Roya Ensafi', 'S. Dehghanzadeh', 'R. Mohammad', 'T.Y.R. Akbarzadeh']
I am writing a research paper on a idea Optimizing Fuzzy K-means for network anomaly detection using PSO
[{"from": "human", "value": "I am writing a research paper on a idea Optimizing Fuzzy K-means for network anomaly detection using PSO"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Intrusion detection has become an indispensable defense line in the information security infrastructure. The existing signature-based intrusion detection mechanisms are often not sufficient in detecting many types of attacks. K-means is a popular anomaly intrusion detection method to classify unlabeled data into different categories. Hover, it suffers from the local convergence and high false alarms. , two soft computing techniques, fuzzy logic and swarm intelligence, are used to solve these problems.  proposed SFK-means approach which inherits the advantages of K-means, Fuzzy K-means and Swarm K- means, simultaneously  improve the deficiencies. The most advantages of our SFK-means algorithm are solving the local convergence problem in Fuzzy K- means and the sharp boundary problem in Swarm K- means. The experimental results on dataset KDDCup99 show that our proposed method can be effective in detecting various attacks."}]