An anomaly detection system proposal to ensure information security for file integrations
İbrahim Üzüm, Özgü Can · 2018
Anomaly detection has an important place in the field of information security with the reason for providing defense against new threats. Additionally, anomaly detection can help organizations to make plan for the unexpected situations. For this reason, it is important to take into account that abnormalities in information systems can occur at any time and there must be an emergency management to perceive the anomalies. Anomaly detection systems must not only find previously known anomalies, but also new unknown anomalies. The most effective solution to detect anomalies is self-learning based approaches. In this study, an anomaly detection system is proposed to be developed for file integration systems. The proposed system aims to provide a solution to information security problems that can be encountered in file integration systems.