Transactions on Mass-Data Analysis of Images and Signals P-ISSN1868-6451, E-ISSN 2509-9353, ISBN 978-3-942952-80-4
Volume 11 - Number 1 - September 2020 - Page 3-26
Heterogeneous Noisy Short Signal Camoflage in Multi-Domain Environment Decision-Making
Piyush K. Sharma
Army Research Laboratory, Adelphi, USA
Abstract
Data transmission between two or more digital devices in industry and government demands secure and agile technology. Digital information distribution often requires deployment of Internet of Things (IoT) devices and Data Fusion techniques which have also gained popularity in both, civilian and military environments, such as, emergence of Smart Cities and Internet of Battleld Things (IoBT). This usually requires capturing and consolidating data from multiple sources. Because datasets do not necessarily originate from identical sensors, fused data typically results in a complex Big Data problem. Due to potentially sensitive nature of IoT datasets, Blockchain technology is used to facilitate secure sharing of IoT datasets, which allows digital information to be distributed, but not copied. However, bloackchain has several limitations related to complexity, scalability, and excessive energy consumption. We propose an approach to hide information (sensor signal) by transforming it to an image or an audio signal. In one of the latest attempts to the military modernization, we investigate sensor fusion approach by investigating the challenges of enabling an intelligent identification and detection operation and demonstrates the feasibility of the proposed Deep Learning and Anomaly Detection models that can support future application for specific hand gesture alert system from wearable devices.
Keywords: Internet of Things, Multi-Domain Environment, Command and Control, Smart City, Data Fusion
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