Big Data Complex Event Processing for Internet of Things Provenance: Benefits for Audit, Forensics, and Safety

Some Internet of Things (IoT) subsystems will be far less robust than others. Systems that rely on these sensors require considerable knowledge about the sensors, their calibration, test conditions, manufacturers' recommended maintenance procedures. Despite the drive toward increased dataset variety, and while Big Data has had a correspondingly large impact on containerization and DevOps, the impact on information assurance (IA) has been incremental. This chapter surveys approaches to leverage Big Data techniques to enhance IoT provenance, which is itself only one of multiple measures needed to improve information assurance. A number of thus far loosely connected approaches are identified and addressed. Systematic use of concept of complex event processing (CEP) can improve on current information assurance practices, especially if its paradigms and design practices are more widely incorporated into IoT architectures. Big Data is changing the nature of work for Chief Security Officers (CSO), auditors, and forensic investigators.