Towards Data-Centric Genetic Cryptography for Telemonitoring and Ambient Assisted Living Systems

The integration of wireless sensor networks into Internet of things, led to a new generation of sensor nodes, directly connected to remote servers, for signal processing and decision making. The migration of data processing from local node, achieved by decoupling the node hardware from the required processing capabilities, is only possible through implementations of network softwarization. The softwarization which brings, new services that are executed remotely has led to security challenges, yet to be resolved, due to the increasing amount of data being continually exchanged between the sensor node-hub and the remote servers. In this regard we introduce a novel genetic algorithm for data security with a powerful security architecture that performs one-time key, single block enciphering instead of a block chaining or weak stream enciphering. The algorithm architecture produces variable (stealthy) keys and data that adopts white noise statistical behavior, therefore, having high immunity to cryptanalysis. The algorithm combines gene fusion and Horizontal Gene Transfer inspired from the spread of antibiotic resistance in bacteria. A Salt extracted from the data block hash-value adds the stealthy-key feature to the cipher. An application in eHealth tele-monitoring with WSN/IoT is described.