Browsing by Author "Elnaffar, Said"
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Item A Data-based Guiding Framework for Digital Transformation(CEUR-WS, 2021) Maamar, Zakaria; Cheikhrouhou, Saoussen; Elnaffar, SaidThis paper presents a framework for guiding organizations initiate and sustain digital transformation initiatives. Digital transformation is a long-term journey that an organization embarks on when it decides to question its practices in light of management, operation, and technology challenges. The guiding framework stresses out the importance of data in any digital transformation initiative by suggesting 4 stages referred to as collection, processing, storage, and dissemination. Because digital transformation could impact different areas of an organization for instance, business processes and business models, each stage suggests techniques to expose data. 2 case studies are adopted in the paper to illustrate how the guiding framework is put into action. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).Item The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review(Institute of Electrical and Electronics Engineers Inc., 2021) Zhao, Xi; Band, Shahab S.; Elnaffar, Said; Sookhak, Mehdi; Mosavi, Amir; Salwana, ElyAs a global community, the Internet is comprised of thousands of administrative entities that operate and interact with each other. Transferring data among these entities is possible due to the process of routing, which is challenging due to the lack of centrality. Consequently, the Border Gateway Protocol (BGP) can play a vital role in the routing process as a central hub for disseminating routing information to the various autonomous systems. Yet, the BGP poses security vulnerability due to the difficulty of validation and authentication. Recent studies argue that it would be beneficial to apply the Software-Defined Networking (SDN) approach to address some of the BGP problems. The SDN can help handle BGP-based networks at a low cost and with minimal complexity. However, there are still many scientific and operational problems in this field of study. The main objective of this paper is to identify the challenges that the BGP facing with respect to the adoption of the SDN. The findings revealed that most researchers focused on improving convergence time, while other essential features such as scalability and privacy were overlooked. © 2013 IEEE.Item Remote Farming: Monitoring Hydroponic Environments using IoTs(Institute of Electrical and Electronics Engineers Inc., 2022) Elnaffar, Said; Amin, Ahmad; Satrya, Gandeva Bayu; Permana, Mohammad Andiez SatriaItem Semantic thingsourcing for the Internet of Things(John Wiley and Sons Ltd, 2023-05-15) Maamar, Zakaria; Faci, Noura; Elnaffar, Said; Yahya, Fadwa; Boukadi, Khouloud; Benslimane, DjamalIn the context of Internet of Things, thingsourcing is poised to promote the collective behavior that should prevail among things despite their independent nature being confined into silos. By analogy with crowdsourcing where crowds of (sometimes anonymous) people are contacted for their expertise, thingsourcing abstracts crowds of things and provides the necessary mechanisms for composing things together so they collectively satisfy users' demands. However, to ensure successful discovery of things according to these demands' requirements, an ontology-based semantic description of things is deemed necessary. This article presents an approach for enriching things' descriptions semantically in preparation for their composition with respect to specific scripts that define who will do what, when, and where. A system demonstrating semantic thingsourcing along with a case study about dairy supply-chain is presented in this article as well. © 2021 John Wiley & Sons Ltd.Item Vehicle's Big Brother: IoT-Based Monitoring System for In-car Safety(Institute of Electrical and Electronics Engineers Inc., 2022) Satrya, G. Bayu; Ferdinand, Yulio; Elnaffar, Said; Putri Alamsyah N.C.; Abdellatif, Tamer MohamedItem When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review(Institute of Electrical and Electronics Engineers Inc., 2022) Band, Shahab S.; Ardabili, Sina; Sookhak, Mehdi; Chronopoulos, Anthony Theodore; Elnaffar, Said; Moslehpour, Massoud; Csaba, Mako; Torok, Bernat; Pai, Hao-Ting; Mosavi, AmirThe manuscript represents a comeprehensive and systematic literature review on the machine learning methods in the emerging applications of the smart cities. Application domains include the essential aspects of the smart cities including the energy, healthcare, transportation, security, and pollution. The research methodology presents a state-of-the-art taxonomy, evaluation and model performance where the ML algorithms are classified into one of the following four categories: decision trees, support vector machines, artificial neural networks, and advanced machine learning methods, i.e., hybrid methods, ensembles, and Deep Learning. The study found that the hybrid models and ensembles have better performance since they exhibit both a high accuracy and low overall cost. On the other hand, the deep learning (DL) techniques had a higher accuracy than the hybrid models and ensembles, but they demanded relatively higher computation power. Moreover, all these advanced ML methods had a slower processing speed than the single methods. Likewise, the support vector machine (SVM) and decision tree (DT) generally outperformed the artificial neural network (ANN) for accuracy and other metrics. However, since the difference was negligible, it can be concluded that using either of them is appropriate. © 2013 IEEE.Item Wormhole attack mitigation strategies and their impact on wireless sensor network performance: A literature survey(John Wiley and Sons Ltd, 2022) Shahid, Hafsa; Ashraf, Humaira; Ullah, Ata; Band, Shahab S.; Elnaffar, SaidWireless sensor networks (WSNs) consist of hundreds of small sensors that collect and report data. During data sharing, these WSNs become vulnerable to numerous security threats, including the deadly ones. Mitigating this risk is a real challenge, especially in a low-resource environment such as a WSN. In this work, using a systematic literature review, we surveyed a large body of research (28 studies) that focused on mitigating wormhole security attacks. Through this study, we evaluate the impact of many proposed security schemes and their impact on the WSN's performance. We compare schemes for effectiveness and pinpoint the limitations. We also analyze the various parameters and metrics used in them and highlight the open research challenges in the field. © 2022 John Wiley & Sons Ltd.Item XyGen: Synthetic data generator for feature selection[Formula presented](Elsevier B.V., 2023-03) Kamalov, Firuz; Elnaffar, Said; Sulieman, Hana; Cherukuri, Aswani KumarGiven the large number of feature selection algorithms, it has become imperative to have a uniform procedure for evaluating the performance of the algorithms. We propose a library of synthetic datasets designed specifically to test the effectiveness of feature selection algorithms. The datasets are inspired by applications in the field of electronics and have a range of characteristics to provide a variety of test scenarios. The software comes in the form of a Python library with standard interface for loading and generating datasets. Each dataset is implemented as a function that allows control of various parameters of the data. © 2023 The Author(s)