Leveraging the Decentralised Open IoT Security Protocol ((d)OISP)™: Facilitating Edge-Based Artificial Intelligence in Large-Scale Network Infrastructures

There is an increasing demand for integrating edge-based Artificial Intelligence (AI) into complex large-scale network infrastructures. This need is driven by the requirement for faster data processing, reduced latency, minimized cyberattack surfaces, and the preservation of bandwidth and lowered energy consumption. Yet, one significant hurdle has consistently stood out: ensuring a secure, authenticated seamless point-to point exchange of information in decentralized systems across heterogeneous devices and platforms without the use of central authority. This paper presents a novel approach to this challenge by leveraging the decentralized Open IoT Security Protocol ((d)OISP). We delve into the architectural design, operational dynamics, and merits of (d)OISP, with its decentralized nature, promises to enhance quantum-safe security measures by utilizing quantum safe standardized cryptosystems and offering a unified protocol that caters to diverse devices without necessitating a central point of control. By incorporating (d)OISP into networks, not only is data exchange made more secure, but the efficiency of edge-based AI operations is notably enhanced, especially in large-scale settings.