Providing Security in Intelligent Agent-Based Grids by Means of Error Correction

The security of the existing ambient intelligence model presents a particular challenge because this architecture combines different networks, being prone to vulnerabilities and attacks. Specific techniques are required to be studied in order to provide a fault-tolerant system. One way to address this goal is to apply different techniques in order to correct the errors introduced in the systems by a spectrum of sources. This paper is a rational continuity of the previous work by offering a method of detecting and correcting errors.