Secure Data Flow Between Trusted Networks

Nowadays, traditional networks like organizational networks or home networks are widely used, but networks can be vulnerable to security threats, especially from insider attacks. These networks focus more on encryption, authentication, and access control, and they neglect the crucial parts like node behaviour. This is where the concept of trusted networks comes into existence. A trusted network is a group of devices that are known to be safe and secure for communication, not only based on authentication but also based on their behaviour. This paper introduces a novel approach to building secure data flow between trusted networks by analyzing node behaviour. The main idea is to build trust based on four main parameters similarity, direct trust, risk assessment, and reputation. Along with the traditional security measures, this approach continuously monitors and adjusts trust levels based on the observed behaviour of nodes. By isolating nodes or giving a high trust level that exhibits malicious or risky behaviour, the trusted network remains secure for data flow. The proposed method is implemented and evaluated through simulations, demonstrating its effectiveness in establishing trusted networks and enabling secure communication.