Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map

With the rapid evolution of Internet technology, fog computing has taken a major role in managing large amounts data. The concerns this domain are security and privacy. Therefore, attaining reliable level confidentiality environment is pivotal task. Among different types data stored fog, 3D point mesh increasingly popular recent days, due to growth modelling printing technologies. Hence, research, we propose novel scheme for preserving privacy Chaotic Cat map-based encryption recently trending research area its unique properties like pseudo-randomness, deterministic nature, sensitivity initial conditions, ergodicity, etc. To boost efficiency significantly, work, map. sequence generated by map used transform coordinates improved range proposed depicted using bifurcation analysis. quality also analyzed metrics Lyapunov exponent approximate entropy. We demonstrate performance framework attacks brute-force attack statistical attack. experimental results clearly depict that produces best compared previous works literature.