Protecting Future Personal Computing: Challenging Traditional Network Security Models

The Internet is a notoriously two-way street. If multiple computers can communicate sensitive data across the Internet, malicious entities can access the network and collect this data also. The range and number of connected devices is increasing dramatically and with this expansion so is the security risk. Collection of ever rising quantities of data, especially sensitive and personal data, raises many challenges and questions about the suitability of current security solutions. The key problem our research investigates is how we can adapt traditional security models to enhance its both current and future deployment. The work is not aimed to replace existing security solutions although it builds upon it to complement it and enhance existing methods. We utilise the timeliness of the Internet of Things as a focus to develop and experiment with our work. In this paper we present our novel framework. The novelty lies within the way the three components are integrated within it to provide scaleable security. The results we present prove its feasibility to enhance current security to be more efficient and dynamic to protect a broad number of devices on future networks.