Publications

2023

1. Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication

   Afia Anjum, Paul Agbaje, Arkajyoti Mitra, and 3 more authors

   Future Generation Computer Systems, 2023

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   Named Data Networking (NDN), an emerging Internet architecture is altering the basics of the networking model by making content directly addressable and routable. NDN changes the communication model by shifting from the current host-centric model to a content-centric model naming each content object hierarchically instead of using IP addresses. This change enables data consumers to request content using application-layer names that optimize network traffic and allow data security directly at the network layer, making the content of every data packet verifiable and enabling resilient communication in dynamic network environments, such as mobile ad hoc networks. This paper presents the concepts of NDN architecture and a comprehensive overview of emerging application use cases of the technology for secure data communications. We discuss the integration of NDN with the current Internet protocol and highlight how NDN works as a facilitator for addressing numerous concerns related to unique applications. Furthermore, we highlight the trust management and security aspects of NDN. Finally, we outline challenges relating to NDN adoption and present some proposed solutions.

2. Deep Reinforcement Learning for Energy-Efficient Task Offloading in Cooperative Vehicular Edge Networks

   Paul Agbaje, Ebelechukwu Nwafor, and Habeeb Olufowobi

   In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 2023

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3. FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing

   Paul Agbaje, Afia Anjum, Zahidur Talukder, and 3 more authors

   In 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023

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2022

1. CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks

   Ebelechukwu Nwafor, and Habeeb Olufowobi

   In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022

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2. A Survey of Machine Translation Tasks on Nigerian Languages

   Ebelechukwu Nwafor, and Anietie Andy

   In Proceedings of the Thirteenth Language Resources and Evaluation Conference, Jun 2022

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   Machine translation is an active area of research that has received a significant amount of attention over the past decade. With the advent of deep learning models, the translation of several languages has been performed with high accuracy and precision. In spite of the development in machine translation techniques, there is very limited work focused on translating low-resource African languages, particularly Nigerian languages. Nigeria is one of the most populous countries in Africa with diverse language and ethnic groups. In this paper, we survey the current state of the art of machine translation research on Nigerian languages with a major emphasis on neural machine translation techniques. We outline the limitations of research in machine translation on Nigerian languages and propose future directions in increasing research and participation.

2021

1. Dynamic load sharing in memory constrained devices: a survey

   Ebelechukwu Nwafor, Michael Robson, and Habeeb Olufowobi

   In 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), Jun 2021

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2. Covid vaccine sentiment analysis by geographic region

   Ebelechukwu Nwafor, Ryan Vaughan, and Christopher Kolimago

   In 2021 IEEE International Conference on Big Data (Big Data), Jun 2021

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3. Detecting network traffic intrusions on memory constrained embedded systems

   Shiyu Su, and Ebelechukwu Nwafor

   In 2021 IEEE International Symposium on Technologies for Homeland Security (HST), Jun 2021

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2019

1. Towards an Interactive Visualization Framework for IoT Device Data Flow

   Ebelechukwu Nwafor, and Habeeb Olufowobi

   In , Jun 2019

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2018

1. Trace-based data provenance for cyber-physical systems

   Ebelechukwu Nwafor

   Howard University, Jun 2018
2. Design patterns for the industrial Internet of Things

   Gedare Bloom, Bassma Alsulami, Ebelechukwu Nwafor, and 1 more author

   In 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS), Jun 2018
3. Anomaly-based intrusion detection of IoT device sensor data using provenance graphs

   Ebelechukwu Nwafor, Andre Campbell, and Gedare Bloom

   In 1st International Workshop on Security and Privacy for the Internet-of-Things, Jun 2018

2017

1. Towards a provenance collection framework for internet of things devices

   Ebelechukwu Nwafor, Andre Campbell, David Hill, and 1 more author

   In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Jun 2017
2. Towards a Provenance-Aware Internet of Things (IoT) System

   Ebelechukwu Nwafor

   Jun 2017

2016

1. A policy-driven framework for document classification and enterprise security

   Ebelechukwu Nwafor, Pawan Chowdhary, and Anca Chandra

   In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Jun 2016

2015

1. A Hybrid Approach to Improving Cloud Data Security

   E Nwafor, and L Burge

   In Proceedings of the International Conference on Security and Management (SAM), Jun 2015
2. Cloud service security & application vulnerability

   Acklyn Murray, Geremew Begna, Ebelechukwu Nwafor, and 2 more authors

   In SoutheastCon 2015, Jun 2015
3. Cloud service security & application vulnerability

   Acklyn Murray, Geremew Begna, Ebelechukwu Nwafor, and 2 more authors

   In SoutheastCon 2015, Jun 2015

2013

1. A Self-Protecting Security Framework for CDA Documents

   G Hsieh, and E Nwafor

   In Proceedings of the International Conference on Security and Management (SAM), Jun 2013
2. Lessons learned: Porting java applications to android

   G Hsieh, D Paruchuri, C Steward, and 2 more authors

   In Proceedings of the International Conference on Software Engineering Research and Practice (SERP), Jun 2013