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While data from Supervisory Control And Data Acquisition (SCADA) systems issent upstream, it is both the length of pulses as well as their frequencypresent an excellent opportunity to incor-porate statistical fingerprinting.This is so, because datagrams in SCADA traffic follow a poison distribution.Although wrapping the SCADA traffic in a protective IPsec stream is an obviouschoice, thin clients and unreliable communication channels make is less thanideal to use crypto-graphic solutions for security SCADA traffic. In thispaper, we propose a smart alternative of data obfuscation in the form ofImpulsive Statistical Fingerprinting (ISF). We provide important insights intoour research in healthcare SCADA data security and the use of ISF. Wesubstantiate the conversion of sensor data through the ISF into HL7 format anddefine policies of a seamless switch to a non HL7-based non-secure HIS to asecure HIS.

Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting