@article{article_805719, title={Identifying the general pattern of the academic computer networks based on users daily behaviors}, journal={Karaelmas Fen ve Mühendislik Dergisi}, volume={8}, pages={203–210}, year={2018}, author={Gülağız, Fidan Kaya and Gök, Onur and Şahin, Suhap}, keywords={Akademik ağlar,Atak tespiti,Hidden markov model}, abstract={The use of the internet has become wide spread with the developments in technology as a result of this data has been removed to electronic environment. With the increase of data stored in the electronic environment, the security of the data has become much important. For this reason, network anomalies and attacks should be detected early. There are many different data mining methods used to detect network anomalies. In this study general behavior of academic networks determined to detect network anomalies. For this purpose, a network state analysis method using Iterative K-Means and Profile Hidden Markov Model PHMM methods is proposed.}, number={1}, publisher={Zonguldak Bülent Ecevit Üniversitesi}