Abstract
Internet of Things (IoT) is a trend technology that affects our daily life in a better
way. It improves the quality of life and provides a better way of communication as it
connects physical objects and even people together through the Internet. One of the
sectors applying IoT for getting the benefits from its framework is healthcare sector.
IoT Healthcare systems process critical data collected from sensors about a certain
health condition of a patient such as measurements of heart beats, blood pressure and
creatinine value. In the recent days, cyber-attacks targeted the healthcare industry as
one of the most preferred sectors. It critical data has been attacked, it will threaten the
patient’s life. Thus, patient’s data security and privacy must be ensured. In this thesis,
the privacy of data is ensured by implementing a revised encryption algorithm cybersecurity. Due to the limitations in IoT framework such as low power, low energy and
limited design area, AES algorithm is implemented with some modifications in order
to optimize the design complexity to suit IoT sensors devices. This optimized AES
algorithm is implemented using Field Programmable Gate Arrays (FPGA) using
Circuit Hardware Description language (VHDL) using Xilinx ISE Design suit 14.7
tool for implantation and ISIM simulator for simulating the design. AES encryption
and decryption are implemented with 128-bit input data and key size. The results of
this thesis show that AES algorithm is working properly with low complexity
comparing to other implemented designs processed using XC6SLX75 device of
Xilinx Spartan-6 family