Biocyber Interface-Based Privacy for Internet of Bio-nano Things

The concept of Internet of bio-nano thing (IoBNT) arose from the need for Biological nanomachines to interconnect intra-body nanonetwork with the cyber Internet aiming to exchange information. However, while numerous studies have focused on communication efficiency among the nanodevices in a given network, challenges such as the IoBNT security, and the interface connection between the nanonetwork and the Internet are yet to be addressed. Thus, in this study, we propose a privacy scheme working on the top of the biocyber interface in the IoBNT paradigm. The proposed chaotic-system is based on the command signal coming from medical personnel to biocyber device embedded on the human body wherein a masked version of feature generated by applying modified Logistic map for increasing the privacy of the human life and released the exact dose. Additionally, the proposed scheme includes BPSK modulation and feature extraction with zero crossing rate. Finally, the privacy scheme increases the key space, thereby ensuring that the right dose is released and the privacy of human life is achieved. The performance analysis of the proposed scheme is presented firstly, by evaluating the proposed privacy scheme working on the top of biocyber interface device by using receiver operating characteristics curve and bit error rate. Then, we study the performance proposed scheme by employing the compartmental models in the forward and reverse biocyber interface of the IoBNT paradigm. The simulation results of the developed model reveal that the proposed IoBNT-based the privacy scheme can enhance the delivery of therapeutic drugs to the target cells while maximizing the privacy issues.