Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making. (arXiv:2106.02044v1 [cs.LG])

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
Battlefield 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, blockchain 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.

Source: https://arxiv.org/abs/2106.02044


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