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Cyber-Physical Sensing to Extend the National Intelligence, Surveillance, and Reconnaissance Mesh

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Strategy documents from multiple military branches - including the Air Force, Army, and Marine Corps - have emphasized the importance of improved sensing for national security. To improve sensing, the DoD can pursue several approaches. The first is to develop and deploy new kinds of sensing capabilities. This is an essential part of intelligence, surveillance, and reconnaissance (ISR) modernization, but it can be costly and time consuming. A second approach is to leverage existing nonconventional sensors, such as ones available in consumer products or embedded in physical devices. While these sensors may be lower fidelity, they are economical, widespread, and may detect signals in multiple modalities.

In this post, we describe an ISR paradigm called cyber-physical sensing aligned to the second approach described above, where we explore use of existing commercial sensors to enhance the ISR mesh. We begin by summarizing the foundations and promise of the approach. We then discuss recent advances that could enable cyber-physical sensing to achieve significant benefits in the DoD context and beyond. We end by considering open cyber-physical sensing research areas and opportunities to partner with the SEI.

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This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.

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Copyright 2024 Carnegie Mellon University.

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