Internet of bio-nano things (IoBNT) is a novel communication paradigm where tiny, biocompatible and non-intrusive devices collect and sense biological signals from the environment and send them to data centers for processing through the internet. The concept of the IoBNT has stemmed from the combination of synthetic biology and nanotechnology tools which enable the fabrication of biological computing devices called Bio-nano things. Bio-nano things are nanoscale (1–100 nm) devices that are ideal for in vivo applications, where non-intrusive devices can reach hard-to-access areas of the human body (such as deep inside the tissue) to collect biological information. Bio-nano things work collaboratively in the form of a network called nanonetwork. The interconnection of the biological world and the cyber world of the Internet is made possible by a powerful hybrid device called Bio Cyber Interface. Bio Cyber Interface translates biochemical signals from in-body nanonetworks into electromagnetic signals and vice versa. Bio Cyber Interface can be designed using several technologies. In this paper, we have selected bio field-effect transistor (BioFET) technology, due to its characteristics of being fast, low-cost, and simple The main concern in this work is the security of IoBNT, which must be the preliminary requirement, especially for healthcare applications of IoBNT. Once the human body is accessible through the Internet, there is always a chance that it will be done with malicious intent. To address the issue of security in IoBNT, we propose a framework that utilizes Particle Swarm Optimization (PSO) algorithm to optimize Artificial Neural Networks (ANN) and to detect anomalous activities in the IoBNT transmission. Our proposed PSO-based ANN model was tested for the simulated dataset of BioFET based Bio Cyber Interface communication features. The results show an improved accuracy of 98.9% when compared with Adam based optimization function.

生物纳米物联网 (IoBNT) 是一种新型通信范式，其中微小的、生物相容的和非侵入性的设备从环境中收集和感知生物信号，并将它们发送到数据中心进行处理，通过互联网。IoBNT 的概念源于合成生物学和纳米技术工具的结合，这些工具能够制造称为生物纳米物体的生物计算设备。生物纳米物体是纳米级 (1–100 nm) 设备，非常适合体内应用，其中非侵入式设备可以到达人体难以接近的区域（例如组织深处）以收集生物信息. 生物纳米事物以称为纳米网络的网络形式协同工作。生物世界和互联网的网络世界的互连是通过一种称为生物网络接口的强大混合设备实现的。Bio Cyber​​ Interface 将来自体内纳米网络的生化信号转换为电磁信号，反之亦然。Bio Cyber​​ Interface 可以使用多种技术进行设计。在本文中，我们选择了生物场效应晶体管（BioFET）技术，由于其具有快速、低成本和简单的特点，这项工作的主要关注点是 IoBNT 的安全性，这必须是初步要求，特别是对于 IoBNT 的医疗保健应用。一旦可以通过 Internet 访问人体，就总是有可能出于恶意目的进行访问。为了解决 IoBNT 中的安全问题，我们提出了一个框架，该框架利用粒子群优化 (PSO) 算法来优化人工神经网络 (ANN) 并检测 IoBNT 传输中的异常活动。我们提出的基于 PSO 的 ANN 模型针对基于 BioFET 的生物网络接口通信功能的模拟数据集进行了测试。结果表明，与基于 Adam 的优化函数相比，准确度提高了 98.9%。