E-devlette siber güvenlik; Bir vaka çalışması kötü yazılım saldırısı tespiti

One of the new concepts offered to us by rapidly advancing technology in these days we live in the internet age is "Electronic Government (e-government)". E-government, state and citizen in the digital environment; is to establish a simple, fast, low-cost, uninterrupted and secure relationship. E-government, which helps citizens and governments in the internet age in order to fix the messy bureaucracy, takes the service transactions offered to the public to the citizens' feet instead of keeping them in archives, and performs these transactions in an easier, cheaper, more transparent and more modern way. In this study, malware attacks investigated in e government applications. The proposed method combined KNN based whale optimization algorithm and K-mean to enhance the performance of the model. furthermore, several classifiers such as DT, SVM and KNN applied to evaluate the results. In the last stage, the proposed method compared with several studies presented in this field and show that the presented biometric system is best with 99.54% accuracy.