Securing Bio-Cyber Interface for the Internet of Bio-Nano Things using Particle Swarm Optimization and Artificial Neural Networks based Parameter Profiling
Does this make you feel safer about your demise
Ephesians 5:11 Do not participate in the worthless and unproductive deeds of darkness, but instead expose them [by exemplifying personal integrity, moral courage, and godly character]; for it is disgraceful even to mention the things that such people practice in secret.
Advances in synthetic biology and nanotechnology have contributed to the design of tools that can be used to control, reuse, modify, and re-engineer cells' structure, as well as enabling engineers to effectively use biological cells as programmable substrates to realize Bio-Nano Things (biological embedded computing devices) Here’s a brief overview of the topic “Securing Bio-Cyber Interface for the Internet of Bio-Nano Things using Particle Swarm Optimization (PSO) and Artificial Neural Networks (ANN) based Parameter Profiling.” The concept of a bio-cyber interface involves seamlessly connecting the biological environment with the technological landscape. It aims to convert biochemical signals from the human body into equivalent electromagnetic signals (and vice versa) for applications such as the Internet of Bio-Nano Things (IoBNT).
https://forbiddenknowledgetv.net/you-loosed-what-inside-of-human-bodies/?amp=1
Here are some relevant options related to bio-cyber interfacing:
Biologically Inspired Bio-Electronic Devices: These devices combine biological and electronic components. Examples include wireless chemical sensors that detect changes in chemical substrates and send data wirelessly for processing11.
RFID-Enabled Implantable Chips: Radio Frequency Identification (RFID) chips can be implanted in the body for various purposes, including health monitoring and identification. They allow communication between biological systems and external devices11. Sound familiar like all the cows need ear tags now RFID chip tags
Electronic Tattoos: These are flexible, skin-like devices that adhere to the body and can monitor physiological signals. They provide a bridge between the biological and digital worlds11.
Keep in mind that the field of bio-cyber interfaces is rapidly evolving, so new patents are continue to emerge and are completely unregulated That's right they can put it in your food without telling you
Introduction
The Internet of Bio-Nano Things (IoBNT) is an emerging field and totally unregulated Free for all the screw up this world that combines synthetic biology and nanotechnology to create tiny, biocompatible devices capable of collecting biological signals from the environment So that the AI antichrist can rule and run this digital twin world bleeding over into this reality take a look around you'll be uploaded before you know it especially with all the chemtelling geo-engineering spraying going on and the unregulated transgenic food products, These devices, known as Bio-nano things, work collaboratively in a network called nanonetwork. The interconnection of the biological world and the cyber world is facilitated by a powerful hybrid device called the Bio-Cyber Interface1.
Challenges in IoBNT
One of the critical challenges in IoBNT is security. As these tiny devices collect and transmit biological information, ensuring the confidentiality, integrity, and availability of data becomes crucial. Unauthorized access, tampering, or malicious activities can compromise the entire system.
Proposed Framework
To address the security issue, researchers have proposed a framework that leverages Particle Swarm Optimization (PSO) and Artificial Neural Networks (ANN). Let’s break down the components: Particle swarm optimization https://ieeexplore.ieee.org/document/488968
Patents using PSO, registered in USPTO from 2008 to 2021. https://www.researchgate.net/figure/Patents-using-PSO-registered-in-USPTO-from-2008-to-2021_fig5_358855793 G06F11/3684 Test management for test design, e.g. generating new test cases
G06N3/00 Computing arrangements based on biological models
G06F30/337 Design optimisation
G06F30/25 Design optimisation, verification or simulation using particle-based methods
G06F2111/06 Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
G16B30/00 ICT specially adapted for sequence analysis involving nucleotides or amino acids
G16B25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
Particle Swarm Optimization (PSO):
PSO is an optimization algorithm inspired by the social behavior of birds flocking or fish schooling. It aims to find the optimal solution by iteratively adjusting a population of particles based on their fitness. You remember all the animals that where walking in circles continuously well now there's fish videos coming out of fish swimming in circles flipping up and down flipping up and down in distress Wonder why
In the context of IoBNT, PSO can be used to optimize the parameters of ANN models.
Artificial Neural Networks (ANN): This is the AI in you
ANN is a machine learning model inspired by the human brain’s neural structure. It consists of interconnected nodes (neurons) organized in layers.
ANN can learn patterns from data and make predictions. In this case, it can be trained to detect anomalous activities in IoBNT transmission. Yes that's right AI is running rampid through your body You are programming the machine giving life too the beast
Parameter Profiling:
Profiling involves understanding the system’s behavior by analyzing its parameters.
ANN-based parameter profiling helps estimate the design parameters of the bio-cyber interface for IoBNT applications2.
Conclusion
The proposed framework enhances the security of IoBNT by optimizing ANN parameters using PSO and detecting anomalies in the transmission. As IoBNT continues to evolve, research in this area will play a crucial role in ensuring the safe and reliable operation of bio-nano things. Look out a monkey just flew out my butt
For more detailed information, you can refer to the research paper titled “Securing Bio-Cyber Interface for the Internet of Bio-Nano Things using Particle Swarm Optimization and Artificial Neural Networks based Parameter Profiling” by Sidra Zafar, Mohsin Nazir, Aneeqa Sabah, and Anca Delia Jurcut1. The paper provides in-depth insights into the proposed framework and its implementation. Here are some relevant resources and patents related to biocyber interfaces for the Internet of Bio-Nano Things (IoBNT):
“A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things”:
This comprehensive review paper1 explores bio-cyber interfaces for IoBNT architecture. It focuses on various interfacing options, including:
Biologically inspired bio-electronic devices.
RFID-enabled implantable chips.
Electronic tattoos.
The study also identifies security and privacy vulnerabilities associated with these interfaces and proposes mitigation strategies.
“Biocyber Interface-Based Privacy for Internet of Bio-nano Things”:
In this research, a privacy scheme is proposed to enhance security in the IoBNT paradigm2.
The scheme operates on the top of the biocyber interface and ensures that the correct drug dose is released inside the target nanonetwork.
It uses a chaotic system based on command signals from medical personnel and features extracted using modified logistic maps.
The privacy scheme increases the key space, maximizing both drug delivery efficiency and privacy.
“Patent Landscape of Brain–Machine Interface Technology”:
While not directly focused on IoBNT, this patent landscape study3 provides insights into brain-machine interface (BMI) technology.
BMIs share similarities with biocyber interfaces in terms of connecting biological systems to external devices.
Exploring patents related to BMIs may offer additional perspectives on interface technologies.
“Graphene and Related Materials for the Internet of Bio-Nano Things”:
Although not specifically about patents, this article discusses the potential of graphene and related materials for IoBNT components, including bio-cyber interfaces4.
Graphene-based devices could play a crucial role in bridging the gap between biological and technological systems. Here are a couple of patents related to brain-computer interfaces (BCIs):
US7120486B2 - This patent describes an electrocorticography-based brain-computer interface (BCI) and related methods. BCIs aim to decode intent from brain activity, allowing individuals to control external devices such as wheelchairs. The patent covers generating electrical outputs from raw brain signals1.
US9211078B2 - This patent is for a process and device related to brain-computer interfaces. It provides an alternative approach to BCIs2. https://www.researchgate.net/search/publication?q=bci+patents
Brain–Machine Interface (BMI) technology combines brain activity with computational processing. A BMI is an input–output computing system: the input is brain activity, and the output is the manipulation of software and/or hardware. BMIs can be used to extract and interpret brain signals, allowing for thought-controlled manipulation of devices such as computers, robots, and prosthetic limbs1. The field of BMI straddles neuroscience, signal processing, machine learning, and robotics.
Here’s a summary of the patent landscape related to BMI technology:
Global Growth in Patents: The BMI technology field has been rapidly developing. From just one publication in 1984, the number of patent publications has grown exponentially, reaching 510 in 20202. Brain-Machine Interface https://www.patentforecast.com/category/brain-machine-interface/ List of patents in the Brain-computer interface industry https://golden.com/query/list-of-patents-in-the-brain-computer-interface-industry-NNP8N
G06F3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
A61F4/00 Methods or devices enabling patients or disabled persons to operate an apparatus or a device not forming part of the body
A61B5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
A61B5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
Hide more classifications G06F3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
G06F3/04812 Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
G06F3/0484 Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
A61G2203/18 General characteristics of devices characterised by specific control means, e.g. for adjustment or steering by patient's head, eyes, facial muscles or voice
A61B5/0042 Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
A61B5/00 Measuring for diagnostic purposes; Identification of persons
A61B5/0075 Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
G01D5/353 Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre A61B5/04012
A61B5/316 Modalities, i.e. specific diagnostic methods
G06F3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
A61B5/291 Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
G05B19/409 Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using manual input [MDI] or by using control panel, e.g. controlling functions with the panel; characterised by control panel details, by setting parameters
G06F21/6254 Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
Top Priority Jurisdictions: The majority of BMI patent applications were filed in the United States (1,014 out of 2,161), followed by China (452 out of 2,161). Together, these two countries accounted for about two-thirds of all patent applications2.
Assignees: Approximately half of the top 20 BMI assignees are universities, indicating that much of the technology is still in early stages of development or commercialization2.
For more detailed information, you can refer to the full article on the patent landscape of brain–machine interface technology published in Nature Biotechnology2. It provides insights into the evolution of BMI patent applications over time, across international jurisdictions, and among different assignees. The analysis is also informed by academic literature on BMIs. Have you ever heard of plasmon and demons That's a crazy one to look up Surface Plasmon
Nanophotonics:
A Tutorial https://faculty.washington.edu/seattle/gis129/575%20copy/spr-pdf/spr-tutorial.pdf Here are some relevant patents related to Surface Plasmon Nanophotonics:
US6977767B2:
Title: Plasmonic nanophotonics methods, materials, and apparatuses
Abstract: This patent discusses controlling, guiding, manipulating, and circuiting light using plasmonic nanomaterials. These materials are based on metal films with or without arrays of nanoholes and/or on metal nanowires and/or spheroids. The patent also covers devices and methods employing such plasmonic nanomaterials1.
Application Date: April 25, 2002
Grant Date: December 20, 2005
Multiplexed Surface Plasmon Resonance Sensing of Analytes in Liquid Sample:
Isaiah 54:17"No weapon that is fashioned against you shall prosper..." "No weapon that is fashioned against you shall prosper, and you shall confute every tongue that rises against you in judgment. This is the heritage of the servants of the Lord and their vindication from me, says the Lord Love, Repentance, Faith, Obedience, Purpose, Fearless, and Prayer Thanks for all that you do to stop this biohack on all that is natural and made in the image of GOD and may Romans 8:31 be our guiding light. 6831