الفهرس 
Chapter (1) Introduction and ObjectivesOnly 14 pages are availabe for public view
 |  | from | 153 |  |  |
| | | from | 153 | | |
Abstract
Thanks to nanotechnology, synthetic biology can engineer live cells as biosensor
devices, and nanotechnology can produce electronic devices at the nanoscale.
Molecular communication (MC), a novel communication technique where information
transfer is based on exchange of molecules, emerges as a solution to establish
communication among these natural and man-made biological and electronic devices
at nanoscale. When complemented with existing wireless communications
technologies, MC will enable a network of these devices, called Internet of Bio-Nano
Things (IoBNT). The focus of this thesis is to model a targeted drug delivery system
(TDDs) based on IoBNT using MC, where nano devices are considered both as devices
generating MC signals, the blood vessel network is the communication channel, and
the specialist is the receiver.
The main contributions of this thesis are:
A multi compartmental model for targeted drug delivery based on IoBNTs is
proposed. The proposed model is formulated as a set of multi-differential equations
that are used to identify molecular communication-based bio-nanomachines, allowing
it to quantify drug concentration to the targeted cell. Unlike the common
compartmental models, the present model is suggested to be able to connect the
exterior and interior of the human body. The findings indicate that the model has the
potential to enhance the capacity of target cells to respond to therapeutic drugs and
decrease the negative impact on healthy cells.
A multi-compartmental model with artificial intelligence (AI) bio-cyber interface is
introduced. An artificial intelligence bio-cyber interface (AIBCI) in both the forward
and reverse directions can transfer/control the desired dose without affecting healthy
cells in the body, with the help of the Internet of biological Nano Things (IoBNT). The
proposed model is formulated as a set of multi-differential equations that are used to
identify molecular communication-based bio nanomachines, allowing it to quantify
drug concentration to the targeted cell.
The results indicate that the model is able to improve target cells ability to respond
to therapeutic medications while reducing the adverse effects on healthy cells.
A ciphered framework that is placed on top of the physical cyber interface for
providing security to the IoBNT paradigm is proposed. The proposed framework relies
on sending a command signal by medical staff to a physical cyber interface device
implanted in the patient body, which generates a masked version of a feature using a
modified quadratic map to increase the privacy of human life and release the precise
dosage. Also, the proposed scheme incorporates binary phase shifting key modulation
by adding a carrier wave and feature extraction with zero crossing rate. Finally, the
privacy scheme broadens the key space, ensuring that the correct dosage is released
and that human life privacy is attained. Moreover, simulation experiments were
conducted to evaluate the effects of varying physical parameters on the performance
of the proposed multi compartmental model