With the advent of Internet of Things technology, tremendous changes are taking place. Perhaps what humans never even imagined will come in the near future, and just as the Internet surrounds all aspects of people's daily lives, intelligent objects will autonomously take over all aspects of people's lives. So far, a lot of research and development has been done in the field of Internet of Things, but there are still many challenges in this field. One of the most important challenges is the issue of security in the Internet of Things. Therefore, in this paper, while reviewing the requirements, models and security architectures of the Internet of Things, a framework for security management in the Internet of Things is proposed, which takes into account various aspects and requirements. The proposed framework uses various ideas such as cryptography, encryption, anomaly detection, intrusion detection, and behavior pattern analysis and can be considered as a basis for future research. The purpose of this research is to determine security requirements and provide a method to improve security management in the Internet of Things. Based on the tests, the proposed method is completely 100% resistant against data modification attacks. Against impersonation attacks up to 97% and against denial of service attacks up to 89% resistant detection accuracy.