<span style="mso-fareast-font-family: SimSun; color: windowtext;">Review of Data Injection Attacks in Power Systems: Research Status, Challenge, and Prospects

This review provides a comprehensive overview of data injection attacks (DIAs) in power systems, addressing their evolution, detection, and mitigation within the broader context of cyber-physical system security. With the integration of advanced information technologies and smart grid components, power systems are increasingly vulnerable to cyber threats that can disrupt their operational integrity. The article discusses various forms of DIAs, including false data injection attacks (FDIAs) and dummy data injection attacks (DDIAs), and their impact on system reliability and security. It explores the development of sophisticated attack modeling that accounts for multi-ple types of DIAs, enhancing detection methodologies through data-driven approaches and ma-chine learning algorithms. Additionally, it highlights the importance of precise attack localization and proactive defense mechanisms that adapt dynamically to detected threats. The review also ad-dresses the integration of cyber and physical security measures as a unified approach to safeguard against these evolving cyber threats. By providing a detailed examination of current challenges and emerging trends, the review sets the stage for future research directions that focus on enhancing the resilience and security of power systems against complex and coordinated cyber attacks.