John S Eberechukwunemerem
I am Eberechukunemerem John Sunday, a dedicated individual with a profound passion for the realm of technology. I hold a degree in Computer Science and Informatics, proudly conferred upon me by the esteemed Federal University of Otuoke in Bayelsa State, Nigeria.
My academic journey has been marked by a relentless pursuit of knowledge and a commitment to excellence in my chosen field. Throughout my studies, I have explored a wide array of subjects, but my true passion lies at the intersection of Cryptographic, Cybersecurity, Machine Learning and Artificial Antelligence for Cybersecurity.
Driven by an insatiable curiosity and a desire to contribute meaningfully to the ever-evolving landscape of technology, I am resolute in my pursuit of innovative solutions to complex challenges. I firmly believe that the synergy of these disciplines holds the key to unlocking a multitude of possibilities that can reshape our world.
One of my core beliefs is in the power of collaboration. As such, I am open and eager to engage in research collaborations with like-minded individuals and institutions. Together, we can harness our collective expertise to push the boundaries of knowledge and drive progress in the fields that captivate our imaginations.
In this dynamic age of information, I am excited to embark on this journey of discovery and innovation. If you share my enthusiasm for research and the limitless potential of technology, I warmly welcome the opportunity to explore collaborations that can pave the way for groundbreaking discoveries and transformative solutions.
Thank you for considering this invitation to embark on a shared quest for knowledge and innovation. I look forward to the exciting possibilities that lie ahead as we join forces to make a lasting impact on our world.
Phone: +2348063912897
Address: 6 Chinyereugo Udozor St Onitsha Anambra State
My academic journey has been marked by a relentless pursuit of knowledge and a commitment to excellence in my chosen field. Throughout my studies, I have explored a wide array of subjects, but my true passion lies at the intersection of Cryptographic, Cybersecurity, Machine Learning and Artificial Antelligence for Cybersecurity.
Driven by an insatiable curiosity and a desire to contribute meaningfully to the ever-evolving landscape of technology, I am resolute in my pursuit of innovative solutions to complex challenges. I firmly believe that the synergy of these disciplines holds the key to unlocking a multitude of possibilities that can reshape our world.
One of my core beliefs is in the power of collaboration. As such, I am open and eager to engage in research collaborations with like-minded individuals and institutions. Together, we can harness our collective expertise to push the boundaries of knowledge and drive progress in the fields that captivate our imaginations.
In this dynamic age of information, I am excited to embark on this journey of discovery and innovation. If you share my enthusiasm for research and the limitless potential of technology, I warmly welcome the opportunity to explore collaborations that can pave the way for groundbreaking discoveries and transformative solutions.
Thank you for considering this invitation to embark on a shared quest for knowledge and innovation. I look forward to the exciting possibilities that lie ahead as we join forces to make a lasting impact on our world.
Phone: +2348063912897
Address: 6 Chinyereugo Udozor St Onitsha Anambra State
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The study on the design and implementation of cryptographic data security for IoT devices using Unicode and ASCII is motivated by the high rate of insecurity of data observed during data transfers on IoT devices. IoT devices are one of the popular channels that assist users to communicate virtually from the comfort of their homes. Therefore, the purpose of this study is to design software for cryptographic data security that can encrypt data while in transit to another IoT device using a cipher algorithm based on symmetric encryption. Some related encryption algorithms were also reviewed. In gathering data, secondary sources were deployed for useful information. The waterfall development methodology was utilized in this work. It is a methodology where phases do not overlap and the input of the current phase is the output of the previous phase. The use of Unicode and ASCII in substitution and transposition techniques helped to achieve confidentiality, authentication, integrity, and guaranteed data security. The system was implemented using the PHP programming language, HTML, and CSS. The results obtained from this research indicate that the software outperforms other conventional encryption algorithms in terms of speed (it encrypted 148 kb of data in 0.00267 MS) and also in terms of cryptanalyst attacks such as brute-force and dictionary attacks. The software is highly recommended to individual users, network administrators, medical centers, educational institutions, and government organizations.
The study on the design and implementation of cryptographic data security for IoT devices using Unicode and ASCII is motivated by the high rate of insecurity of data observed during data transfers on IoT devices. IoT devices are one of the popular channels that assist users to communicate virtually from the comfort of their homes. Therefore, the purpose of this study is to design software for cryptographic data security that can encrypt data while in transit to another IoT device using a cipher algorithm based on symmetric encryption. Some related encryption algorithms were also reviewed. In gathering data, secondary sources were deployed for useful information. The waterfall development methodology was utilized in this work. It is a methodology where phases do not overlap and the input of the current phase is the output of the previous phase. The use of Unicode and ASCII in substitution and transposition techniques helped to achieve confidentiality, authentication, integrity, and guaranteed data security. The system was implemented using the PHP programming language, HTML, and CSS. The results obtained from this research indicate that the software outperforms other conventional encryption algorithms in terms of speed (it encrypted 148 kb of data in 0.00267 MS) and also in terms of cryptanalyst attacks such as brute-force and dictionary attacks. The software is highly recommended to individual users, network administrators, medical centers, educational institutions, and government organizations.