Extending a Trust model for Energy Trading with Cyber-Attack Detection

• Main Authors: Rui Andrade, Sinan Wannous, Tiago Pinto, Isabel Praça
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Electronics
• Subjects: cyber-attack detection; IoT; trust; energy trading; trusted negotiations
• Online Access: https://www.mdpi.com/2079-9292/10/16/1975

This paper explores the concept of the local energy markets and, in particular, the need for trust and security in the negotiations necessary for this type of market. A multi-agent system is implemented to simulate the local energy market, and a trust model is proposed to evaluate the proposals sent by the participants, based on forecasting mechanisms that try to predict their expected behavior. A cyber-attack detection model is also implemented using several supervised classification techniques. Two case studies were carried out, one to evaluate the performance of the various classification methods using the IoT-23 cyber-attack dataset; and another one to evaluate the performance of the developed trust mode.