<title>Hybrid information privacy system: integration of chaotic neural network and RSA coding</title>

Abstract

Electronic mails are adopted worldwide; most are easily hacked by hackers. In this paper, we purposed a free, fast and convenient hybrid privacy system to protect email communication. The privacy system is implemented by combining private security RSA algorithm with specific chaos neural network encryption process. The receiver can decrypt received email as long as it can reproduce the specified chaos neural network series, so called spatial-temporal keys. The chaotic typing and initial seed value of chaos neural network series, encrypted by the RSA algorithm, can reproduce spatial-temporal keys. The encrypted chaotic typing and initial seed value are hidden in watermark mixed nonlinearly with message media, wrapped with convolution error correction codes for wireless 3 rd generation cellular phones. The message media can be an arbitrary image. The pattern noise has to be considered during transmission and it could affect/change the spatial-temporal keys. Since any change/modification on chaotic typing or initial seed value of chaos neural network series is not acceptable, the RSA codec system must be robust and faulttolerant via wireless channel. The robust and fault-tolerant properties of chaos neural networks (CNN) were proved by a field theory of Associative Memory by Szu in 1997. The 1-D chaos generating nodes from the logistic map having arbitrarily negative slope a = p/q generating the N-shaped sigmoid was given first by Szu in 1992. In this paper, we simulated the robust and fault-tolerance properties of CNN under additive noise and pattern noise. We also implement a private version of RSA coding and chaos encryption process on messages.

Authenticity and privacy of a team of mini-UAVs by means of nonlinear recursive shuffling

“…(2) AAM: The wireless communication protocol uses up bandwidth for constantly moving transceivers, so that, without such hand-shake protocol, we need to apply Adaptive Associative Memory (AAM) [1][2][3] for 8 neighborhood image chips (8x8 pixels), which allow us to take into account the image scenery smoothness to conceal any losing block package, after one call for resend failed in our real time system. The usual outer-product of the order O(N 2 ) error correction convolution codec may cost less ~ O(N log N), because of the non-interference storage capacity (cf.…”