Assessing dual use embedded security for IMA

Next generation Systems-of-Systems (SoS) Manned and Unmanned Integrated Modular Avionics (IMAs) designs will be challenged to appropriately address emerging security requirements for enhanced Information Assurance (IA) and Trusted Processing (TP). Improvements in security must be accomplished in concert with appropriate insertion of emerging next generation COTS Open Standards leveraging more highly integrated System-on-Chip (SoC) hardware components. New security extensions also need to comply with industry software domain initiatives including Future Airborne Capability Environment (FACE^TM). At the same time these security extensions need to address mandates for Global Information Grid (GIG) IA and derived protection of Critical Program Information (CPI)/counterfeit components with TP and Trusted Manufacturing (TM) infrastructure. The security threat complexity needs to address exponential pressures in Cyber Warfare with 50-100 Billion interconnected software based devices. It also needs to address the hardware component counterfeit/modification challenges as we move to 10+ Billion transistor chips by 2020 and have further dependence on global supply chain Intellectual Property (IP) and manufacturing. Security is a dual use technology that is receiving focused investment at the university and commercial industry levels. There is a need to be aware of what potential there is for exploiting dual use developments that can be leveraged from investments in cyber security for embedded systems infrastructure. Integrated security initiatives for next generation automobile architecture initiatives like the E-safety Vehicle InTrusion protected Applications (EVITA) project, PREparing SEcuRe Vehicle-to-X Communication Systems (PRESERVE) project, and the AUTomotive Open Systems ARchitecture (AutoSAR) project provide a taxonomy for structuring the dual use assessment. This paper presents a sampling of current university research and future industry initiatives in au- omotive security for embedded systems and the potential relevance to addressing needs in next generation IMA.