Bio cyber Interface through Redox modality for Internet of Bio Nano Things

The dataset for this study is synthetically generated fromvarious redox-based bio-cyber interface parameters in thecontext of the Internet of Bio-Nano Things. The dataset will consist of ten key features that showimportant traits related to the redox communication processand how well the bio-cyber interface works, along with onemillion recordings. The dataset includes important physicaland chemical traits and how redox reactions communicate atthe boundary between molecules and electrical systems. Suchreactions are controlled by the way electrons are exchanged,which turns molecular signals into changes in electrical current.This process allows for the transmission, detection, anddigital understanding of signals in tiny network systems. Thesefeatures are critical in detecting anomalies and potential cyberbiologicalattacks within the communication environment. Thedataset includes six main features: Current, Signal-to-NoiseRatio (SNR), SNR in decibels (SNRdB), Limit of Detection(LoD), Limit of Quantification (LoQ), and Channel Capacity.A seventh column labeled as Label classifies the system behaviorinto two categories: normal (0) and anomalous (1). Eachparameter has been thoughtfully designed using specializedelectrochemical knowledge and checked against simulationresults, creating a solid basis for using data to find unusualpatterns.