Misbehavior detection is a research area that focuses on the development of methods and technologies to detect and prevent various forms of misbehavior in different contexts. This can include unethical behavior, fraud, cyber attacks, inappropriate conduct, or non-compliance with rules and regulations. Misbehavior detection algorithms and systems typically use a combination of data analysis, machine learning, and statistical techniques to identify patterns and anomalies that may indicate potential misconduct. The goal of misbehavior detection is to enhance security, compliance, and integrity in various domains such as finance, healthcare, e-commerce, and social media.