Usage of genetic algorithms in cryptography for mobile devices

This paper attempts to investigate the methods of cryptography and strong authentication for mobile phones (and tablets), by using genetic programming. This is nowadays one of the main challenges having into account the increased number of internet enabled mobile phones and the increased usage of the everyday activities in the scope of mobile e-payments (or bitcoins). The primary objective is to investigate and verify if the usage of modern authentication of mobile users with the use of modern methods of cryptography like: Strong Authentication (HTTS), Mobile Authentication, NFC (NearFeldCommuniucaton), OBC (On-Board Credentials), SMS-OTP (SMS - One Time Password) in combination with genetic programming algorithms (based on real biological reproductive generational models for generational building) will increase the security of the mobile phones and tablets. The main aim is to determine the best combination of cryptography tools and with genetic programming algorithms to achieve increased security over the authentication of the mobile phones users. This will be achieved with testing the cryptographic methods and the proposed genetic programming algorithms, using the NS-3 Network Simulator, Python SciPy Library under BSD / Linux. The results and conclusions of the analyses may serve as a guide for using the improved next generation of internet enabled mobile phones.