Dr. Emmanuel Antwi-Boasiako

Department

Computer Science and Information Systems

Dr. Emmanuel Antwi-Boasiako is a distinguished academic and researcher in artificial intelligence, cybersecurity, and computer networking. With over 11 years of teaching and research experience, he is dedicated to advancing technological innovation and knowledge dissemination.

He holds a Doctor of Engineering in Software Engineering from the University of Electronic Science and Technology of China, an MSc in Advanced Computer Networking from Glasgow Caledonian University (UK), and a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana). His doctoral research focused on privacy-preserving distributed deep learning using homomorphic encryption, contributing significantly to the security of AI-driven systems.

Currently, Dr. Antwi-Boasiako serves as a Senior Lecturer at GIMPA, where he coordinates the Artificial Intelligence program within the Department of Computer Science and Information Systems. His expertise spans AI-based cybersecurity, IoT security, machine learning, and encryption protocols. He has successfully mentored students, facilitated research projects, and led initiatives aimed at fostering AI awareness and adoption.

His research has been widely recognized, with publications in high-impact journals such as the Journal of Information Security and Applications, IEEE Internet of Things, Internet of Things, Elsevier and Concurrency and Computation: Practice and Experience, Wiley. He is also a peer reviewer for some esteemed journals.

Beyond academia, Dr. Antwi-Boasiako actively contributes to professional and industry-related engagements. He is a Programme Committee member for the 22nd International Conference on Privacy, Security, and Trust (PST 2025) and has played key roles in organizing conferences, such as the IEEE Power Conference in Ghana and the Africa Conference on Information Systems and Technology (ACIST). He has also appeared in media discussions on AI education.

Recognized for his academic excellence, Dr. Antwi-Boasiako is a recipient of the Chinese University Scholarship and a two-time Academic Achievement Award winner at the University of Electronic Science and Technology of China. His passion for innovation extends to mentoring young professionals and leading AI-driven projects that address social, engineering, health, and business challenges.

With expertise in Python, AI/Machine Learning, IoT security, and homomorphic encryption, he continues to contribute to the technological advancement of Ghana and beyond.

Professional affiliations

  • IEEE
  • Doctor of Engineering in Software Engineering from University of Electronic Science and Technology of China
  • MSc in Advanced Computer Networking from Glasgow Caledonian University (UK)
  • BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana)
  • Cybersecurity
  • IoT security
  • AI/machine learning, and encryption protocols;
    • Information Security (Cryptography)
    • cybersecurity
    • Artificial Intelligence (Deep Learning and Machine Learning)
    • Computer Networks
  • Chinese University Scholarship to pursue Doctorate Programme
  • Two-time winner of the Academic Achievement Award at the University of Electronic Science and Technology of China (School of Information and Software Engineering)
  • Computer and Information Security
  • Information Risk and Security
  • Database Design
  • Wireless Networks
  • Data Communication and Networking
  • Web Technologies

Peer reviewed book chapters

    • Roy, P., & Antwi-Boasiako, E. (2018). A Decision Making Based Authentication Scheme in Cooperative Vehicular Ad-Hoc Network. In Mobile and Wireless Technologies 2017: ICMWT 2017 4 (pp. 213-222). Springer Singapore.

Peer reviewed journal articles

      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Kuada, E., & Danso, E. K. (2024). Enhanced privacy-preserving distributed deep learning with application to fog-based IoT. Internet of Things, 26, 101183.
      • Antwi‐Boasiako, E., Zhou, S., Liao, Y., Obiri, I. A., Kuada, E., Danso, E. K., & Acheampong, E. M. (2024). Enhanced multi‐key privacy‐preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis. Concurrency and Computation: Practice and Experience, e8263.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Dong, Y. (2023). Privacy-preserving distributed deep learning via LWE-based Certificateless Additively Homomorphic Encryption (CAHE). Journal of Information Security and Applications, 74, 103462.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Liu, Q., Wang, Y., & Owusu-Agyemang, K. (2021). Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions. Journal of Information Security and Applications, 61, 102949.
      • Boakye-Boateng, K., Kuada, E., Antwi-Boasiako, E., & Djaba, E. (2019). Encryption protocol for resource-constrained devices in fog-based IoT using one-time pads. IEEE Internet of Things Journal, 6(2), 3925-3933.

Peer reviewed conference papers

      • Doku, M. N. A., Antwi-Boasiako, E., & Amponsah, R. (2024, October). AI Sentiment Analysis of Independence Day Speeches: A Comparative Study of the Speeches of Nana Addo Dankwa Akuffo Addo and John Dramani Mahama. In 2024 IEEE 9th International Conference on Adaptive Science and Technology (ICAST) (Vol. 9, pp. 1-5). IEEE.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Danso, E. K. (2021, December). An LWE-Based Multi-Key Privacy-Preserving Distributed Deep Learning. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 533-542). IEEE.
      • Emmanuel, A. B., Zhou, S., Liao, Y., & Liu, Q. (2020, December). Privacy-preservation in distributed deep neural networks via encryption of selected gradients. In 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 816-823). IEEE.
      • Antwi-Boasiako, E., Kuada, E., & Boakye-Boateng, K. (2016, September). Role of codec selection on the performance of IPsec secured VoIP. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2508-2514). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Atandoh, P., Addo, D., Antwi-Boasiako, E., … & Appiah-Twum, M. (2023, December). Data Centric Blockchain Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques. In 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 1-5). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Smart Health Records Sharing Scheme based on Partially Policy-Hidden CP-ABE with Leakage Resilience. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1408-1415). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Authentication Scheme Based on Non-Interactive Zero-Knowledge Proof for Mobile Health. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1690-1696). IEEE.
      • Boakye-Boateng, K., Kuada, E., & Antwi-Boasiako, E. (2016, April). Efficient encryption protocol for wireless sensor networks using one-time pads. In 2016 18th Mediterranean Electrotechnical Conference (MELECON) (pp. 1-6). IEEE.
      • Antwi-Boasiako, E., Boakye-Boateng, K., & K. Kuada, E. (2017, July). An Improved SDN-Based Codec Switching Algorithm for VOIP Transmission. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa
      • Boakye-Boateng, K., Antwi-Boasiako, E., & K. Kuada, E. (2017, July). One-Time Pad Encryption Protocol for Vehicular Ad-Hoc Networks. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa.

Room: D 14,
abeantwi@gimpa.edu.gh

Dr. Emmanuel Antwi-Boasiako

Department

Computer Science and Information Systems

Dr. Emmanuel Antwi-Boasiako is a distinguished academic and researcher in artificial intelligence, cybersecurity, and computer networking. With over 11 years of teaching and research experience, he is dedicated to advancing technological innovation and knowledge dissemination.

He holds a Doctor of Engineering in Software Engineering from the University of Electronic Science and Technology of China, an MSc in Advanced Computer Networking from Glasgow Caledonian University (UK), and a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana). His doctoral research focused on privacy-preserving distributed deep learning using homomorphic encryption, contributing significantly to the security of AI-driven systems.

Currently, Dr. Antwi-Boasiako serves as a Senior Lecturer at GIMPA, where he coordinates the Artificial Intelligence program within the Department of Computer Science and Information Systems. His expertise spans AI-based cybersecurity, IoT security, machine learning, and encryption protocols. He has successfully mentored students, facilitated research projects, and led initiatives aimed at fostering AI awareness and adoption.

His research has been widely recognized, with publications in high-impact journals such as the Journal of Information Security and Applications, IEEE Internet of Things, Internet of Things, Elsevier and Concurrency and Computation: Practice and Experience, Wiley. He is also a peer reviewer for some esteemed journals.

Beyond academia, Dr. Antwi-Boasiako actively contributes to professional and industry-related engagements. He is a Programme Committee member for the 22nd International Conference on Privacy, Security, and Trust (PST 2025) and has played key roles in organizing conferences, such as the IEEE Power Conference in Ghana and the Africa Conference on Information Systems and Technology (ACIST). He has also appeared in media discussions on AI education.

Recognized for his academic excellence, Dr. Antwi-Boasiako is a recipient of the Chinese University Scholarship and a two-time Academic Achievement Award winner at the University of Electronic Science and Technology of China. His passion for innovation extends to mentoring young professionals and leading AI-driven projects that address social, engineering, health, and business challenges.

With expertise in Python, AI/Machine Learning, IoT security, and homomorphic encryption, he continues to contribute to the technological advancement of Ghana and beyond.

Professional affiliations

  • IEEE
  • Doctor of Engineering in Software Engineering from University of Electronic Science and Technology of China
  • MSc in Advanced Computer Networking from Glasgow Caledonian University (UK)
  • BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana)
  • Cybersecurity
  • IoT security
  • AI/machine learning, and encryption protocols;
    • Information Security (Cryptography)
    • cybersecurity
    • Artificial Intelligence (Deep Learning and Machine Learning)
    • Computer Networks
  • Chinese University Scholarship to pursue Doctorate Programme
  • Two-time winner of the Academic Achievement Award at the University of Electronic Science and Technology of China (School of Information and Software Engineering)
  • Computer and Information Security
  • Information Risk and Security
  • Database Design
  • Wireless Networks
  • Data Communication and Networking
  • Web Technologies

Peer reviewed book chapters

    • Roy, P., & Antwi-Boasiako, E. (2018). A Decision Making Based Authentication Scheme in Cooperative Vehicular Ad-Hoc Network. In Mobile and Wireless Technologies 2017: ICMWT 2017 4 (pp. 213-222). Springer Singapore.

Peer reviewed journal articles

      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Kuada, E., & Danso, E. K. (2024). Enhanced privacy-preserving distributed deep learning with application to fog-based IoT. Internet of Things, 26, 101183.
      • Antwi‐Boasiako, E., Zhou, S., Liao, Y., Obiri, I. A., Kuada, E., Danso, E. K., & Acheampong, E. M. (2024). Enhanced multi‐key privacy‐preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis. Concurrency and Computation: Practice and Experience, e8263.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Dong, Y. (2023). Privacy-preserving distributed deep learning via LWE-based Certificateless Additively Homomorphic Encryption (CAHE). Journal of Information Security and Applications, 74, 103462.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Liu, Q., Wang, Y., & Owusu-Agyemang, K. (2021). Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions. Journal of Information Security and Applications, 61, 102949.
      • Boakye-Boateng, K., Kuada, E., Antwi-Boasiako, E., & Djaba, E. (2019). Encryption protocol for resource-constrained devices in fog-based IoT using one-time pads. IEEE Internet of Things Journal, 6(2), 3925-3933.

Peer reviewed conference papers

      • Doku, M. N. A., Antwi-Boasiako, E., & Amponsah, R. (2024, October). AI Sentiment Analysis of Independence Day Speeches: A Comparative Study of the Speeches of Nana Addo Dankwa Akuffo Addo and John Dramani Mahama. In 2024 IEEE 9th International Conference on Adaptive Science and Technology (ICAST) (Vol. 9, pp. 1-5). IEEE.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Danso, E. K. (2021, December). An LWE-Based Multi-Key Privacy-Preserving Distributed Deep Learning. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 533-542). IEEE.
      • Emmanuel, A. B., Zhou, S., Liao, Y., & Liu, Q. (2020, December). Privacy-preservation in distributed deep neural networks via encryption of selected gradients. In 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 816-823). IEEE.
      • Antwi-Boasiako, E., Kuada, E., & Boakye-Boateng, K. (2016, September). Role of codec selection on the performance of IPsec secured VoIP. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2508-2514). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Atandoh, P., Addo, D., Antwi-Boasiako, E., … & Appiah-Twum, M. (2023, December). Data Centric Blockchain Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques. In 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 1-5). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Smart Health Records Sharing Scheme based on Partially Policy-Hidden CP-ABE with Leakage Resilience. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1408-1415). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Authentication Scheme Based on Non-Interactive Zero-Knowledge Proof for Mobile Health. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1690-1696). IEEE.
      • Boakye-Boateng, K., Kuada, E., & Antwi-Boasiako, E. (2016, April). Efficient encryption protocol for wireless sensor networks using one-time pads. In 2016 18th Mediterranean Electrotechnical Conference (MELECON) (pp. 1-6). IEEE.
      • Antwi-Boasiako, E., Boakye-Boateng, K., & K. Kuada, E. (2017, July). An Improved SDN-Based Codec Switching Algorithm for VOIP Transmission. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa
      • Boakye-Boateng, K., Antwi-Boasiako, E., & K. Kuada, E. (2017, July). One-Time Pad Encryption Protocol for Vehicular Ad-Hoc Networks. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa.

Room: D 14,
abeantwi@gimpa.edu.gh

Dr. Emmanuel Antwi-Boasiako

Department

Computer Science and Information Systems

Dr. Emmanuel Antwi-Boasiako is a distinguished academic and researcher in artificial intelligence, cybersecurity, and computer networking. With over 11 years of teaching and research experience, he is dedicated to advancing technological innovation and knowledge dissemination.

He holds a Doctor of Engineering in Software Engineering from the University of Electronic Science and Technology of China, an MSc in Advanced Computer Networking from Glasgow Caledonian University (UK), and a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana). His doctoral research focused on privacy-preserving distributed deep learning using homomorphic encryption, contributing significantly to the security of AI-driven systems.

Currently, Dr. Antwi-Boasiako serves as a Senior Lecturer at GIMPA, where he coordinates the Artificial Intelligence program within the Department of Computer Science and Information Systems. His expertise spans AI-based cybersecurity, IoT security, machine learning, and encryption protocols. He has successfully mentored students, facilitated research projects, and led initiatives aimed at fostering AI awareness and adoption.

His research has been widely recognized, with publications in high-impact journals such as the Journal of Information Security and Applications, IEEE Internet of Things, Internet of Things, Elsevier and Concurrency and Computation: Practice and Experience, Wiley. He is also a peer reviewer for some esteemed journals.

Beyond academia, Dr. Antwi-Boasiako actively contributes to professional and industry-related engagements. He is a Programme Committee member for the 22nd International Conference on Privacy, Security, and Trust (PST 2025) and has played key roles in organizing conferences, such as the IEEE Power Conference in Ghana and the Africa Conference on Information Systems and Technology (ACIST). He has also appeared in media discussions on AI education.

Recognized for his academic excellence, Dr. Antwi-Boasiako is a recipient of the Chinese University Scholarship and a two-time Academic Achievement Award winner at the University of Electronic Science and Technology of China. His passion for innovation extends to mentoring young professionals and leading AI-driven projects that address social, engineering, health, and business challenges.

With expertise in Python, AI/Machine Learning, IoT security, and homomorphic encryption, he continues to contribute to the technological advancement of Ghana and beyond.

Professional affiliations

  • IEEE
  • Doctor of Engineering in Software Engineering from University of Electronic Science and Technology of China
  • MSc in Advanced Computer Networking from Glasgow Caledonian University (UK)
  • BSc in Computer Science from Kwame Nkrumah University of Science and Technology (Ghana)
  • Cybersecurity
  • IoT security
  • AI/machine learning, and encryption protocols;
    • Information Security (Cryptography)
    • cybersecurity
    • Artificial Intelligence (Deep Learning and Machine Learning)
    • Computer Networks
  • Chinese University Scholarship to pursue Doctorate Programme
  • Two-time winner of the Academic Achievement Award at the University of Electronic Science and Technology of China (School of Information and Software Engineering)
  • Computer and Information Security
  • Information Risk and Security
  • Database Design
  • Wireless Networks
  • Data Communication and Networking
  • Web Technologies

Peer reviewed book chapters

    • Roy, P., & Antwi-Boasiako, E. (2018). A Decision Making Based Authentication Scheme in Cooperative Vehicular Ad-Hoc Network. In Mobile and Wireless Technologies 2017: ICMWT 2017 4 (pp. 213-222). Springer Singapore.

Peer reviewed journal articles

      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Kuada, E., & Danso, E. K. (2024). Enhanced privacy-preserving distributed deep learning with application to fog-based IoT. Internet of Things, 26, 101183.
      • Antwi‐Boasiako, E., Zhou, S., Liao, Y., Obiri, I. A., Kuada, E., Danso, E. K., & Acheampong, E. M. (2024). Enhanced multi‐key privacy‐preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis. Concurrency and Computation: Practice and Experience, e8263.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Dong, Y. (2023). Privacy-preserving distributed deep learning via LWE-based Certificateless Additively Homomorphic Encryption (CAHE). Journal of Information Security and Applications, 74, 103462.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., Liu, Q., Wang, Y., & Owusu-Agyemang, K. (2021). Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions. Journal of Information Security and Applications, 61, 102949.
      • Boakye-Boateng, K., Kuada, E., Antwi-Boasiako, E., & Djaba, E. (2019). Encryption protocol for resource-constrained devices in fog-based IoT using one-time pads. IEEE Internet of Things Journal, 6(2), 3925-3933.

Peer reviewed conference papers

      • Doku, M. N. A., Antwi-Boasiako, E., & Amponsah, R. (2024, October). AI Sentiment Analysis of Independence Day Speeches: A Comparative Study of the Speeches of Nana Addo Dankwa Akuffo Addo and John Dramani Mahama. In 2024 IEEE 9th International Conference on Adaptive Science and Technology (ICAST) (Vol. 9, pp. 1-5). IEEE.
      • Antwi-Boasiako, E., Zhou, S., Liao, Y., & Danso, E. K. (2021, December). An LWE-Based Multi-Key Privacy-Preserving Distributed Deep Learning. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 533-542). IEEE.
      • Emmanuel, A. B., Zhou, S., Liao, Y., & Liu, Q. (2020, December). Privacy-preservation in distributed deep neural networks via encryption of selected gradients. In 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 816-823). IEEE.
      • Antwi-Boasiako, E., Kuada, E., & Boakye-Boateng, K. (2016, September). Role of codec selection on the performance of IPsec secured VoIP. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2508-2514). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Atandoh, P., Addo, D., Antwi-Boasiako, E., … & Appiah-Twum, M. (2023, December). Data Centric Blockchain Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques. In 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 1-5). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Smart Health Records Sharing Scheme based on Partially Policy-Hidden CP-ABE with Leakage Resilience. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1408-1415). IEEE.
      • Acheampong, E. M., Zhou, S., Liao, Y., Antwi-Boasiako, E., & Obiri, I. A. (2022, December). Authentication Scheme Based on Non-Interactive Zero-Knowledge Proof for Mobile Health. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1690-1696). IEEE.
      • Boakye-Boateng, K., Kuada, E., & Antwi-Boasiako, E. (2016, April). Efficient encryption protocol for wireless sensor networks using one-time pads. In 2016 18th Mediterranean Electrotechnical Conference (MELECON) (pp. 1-6). IEEE.
      • Antwi-Boasiako, E., Boakye-Boateng, K., & K. Kuada, E. (2017, July). An Improved SDN-Based Codec Switching Algorithm for VOIP Transmission. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa
      • Boakye-Boateng, K., Antwi-Boasiako, E., & K. Kuada, E. (2017, July). One-Time Pad Encryption Protocol for Vehicular Ad-Hoc Networks. In Africa Conference on Information Systems and Technology (ACIST). Cape Town, South Africa.

Room: D 14,
abeantwi@gimpa.edu.gh

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