A novel encryption algorithm based on attractor computation for Wireless Sensor Network

According to the insufficiency of original algorithm in the aspect of energy consumption and security, propose an improved encryption algorithm based on attractor computation using chaotic neural network. Design the Matrix-q-composite key distribution protocol to substitute original Differ-Hellman mechanism, it strengthened network's security and anti-compromise ability; Designed the attractor's forward encoding model to solve the spatial separation phenomenon in original. The experiment indicated that improved algorithm reduced energy consumption, enhanced the security as well as the plain text diffusivity, which makes it more suitable for Wireless Sensor Network environment.