Akademik Veri Yönetim Sistemi
2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024, Ankara, Türkiye, 16 - 18 Ekim 2024, (Tam Metin Bildiri)
Concerns about data privacy and security are escalating in tandem with the rapidly evolving technological landscape and digitalization. The protection of individuals' personal information and the safeguarding of businesses' trade secrets are of critical importance in the modern world. Data breaches and privacy scandals have heightened public awareness and sensitivity to these issues. Technologies such as artificial intelligence (AI) and machine learning play a crucial role in data analysis and protection by offering opportunities to detect potential threats and prevent data breaches. These technologies utilize advanced algorithms to analyze large datasets, identifying potential security vulnerabilities and threats. The aim of this study is to minimize human errors and biases by automating the data classification process using machine learning algorithms. Data classification facilitates the grouping of data based on its level of importance, supporting businesses in their data management policies. Accurate classification of sensitive data is particularly vital for the effective implementation of data security measures. Additionally, the statistical information provided to end users during the data classification process can be significant. This allows businesses to manage and protect their data more efficiently. This paper explores the use of machine learning methods for the detection of sensitive data in database systems. It discusses how machine learning algorithms can be applied in data privacy and security strategies and examines innovative approaches in this field. The study aims to provide new perspectives on data security, offering valuable insights for researchers and practitioners interested in data privacy and security. In conclusion, this research addresses the current challenges in data security and privacy, examining the applications and impacts of technological advancements in this area.