Department of Computer Engineering and Computational Sciences

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Recent Submissions

Now showing 1 - 20 of 107
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    On the Application of Blockchain technology for securing Flying Ad-Hoc Networks (FANET)
    (Institute of Electrical and Electronics Engineers Inc., 2023) Zaghdoud, Nesrine; Abdelhafidh, Maroua; Charef, Nadia; Ben Mnaouer, Adel; Boujemaa, Hatem; Touati, Farid
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    Performance Analysis of Cooperative LoRa with Dual Hop DF Relaying and Best Relay Selection
    (Institute of Electrical and Electronics Engineers Inc., 2023) Mahjoub, Takoua; Mnaouer, Adel Ben; Boujemaa, Hatem; Said, Maymouna Ben
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    Performance Analysis of Cooperative LoRa with Multihop Relaying for Rayleigh and Nakagami Channels
    (Springer Science and Business Media Deutschland GmbH, 2023) Mahjoub, Takoua; Ben Mnaouer, Adel; Boujemaa, Hatem; Ben Said, Maymouna
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    Impact and Research Challenges of Penetrating Testing and Vulnerability Assessment on Network Threat
    (Institute of Electrical and Electronics Engineers Inc., 2023) Fatima, Areej; Khan, Tahir Abbas; Abdellatif, Tamer Mohamed; Zulfiqar, Sidra; Asif, Muhammad; Safi, Waseem; Hamadi, Hussam Al; Al-Kassem, Amer Hani
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    Malicious Node Detection in Wireless Sensor Networks: Comparative Study
    (Institute of Electrical and Electronics Engineers Inc., 2023) Darwish, Lara; Nassr, Mohammad; Ghosna, Fadi; Fardoun, Habib M.; Voronkova, Daria K.; Anbar, Mohammad
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    Optimal and Suboptimal Routing Protocols for WSN
    (Springer Science and Business Media Deutschland GmbH, 2023) Bensaid, Rahil; Mnaouer, Adel Ben; Boujemaa, Hatem
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    Routing Protocols with RF Energy Harvesting for WSN
    (Institute of Electrical and Electronics Engineers Inc., 2023) Bensaid, Rahil; Mnaouer, Adel Ben; Boujemaa, Hatem
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    Reducing Delay for Delay-Sensitive Applications in Smart Home Networks Using Openflow Protocol
    (Institute of Electrical and Electronics Engineers Inc., 2023) Alkubeily, Mothanna; Sakulin, Sergey A.; Hasan, Bushra; Fardoun, Habib M.
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    The role of ICT in the development of children's' with disabilities
    (CEUR-WS, 2022) Fardoun, Habib; Collazos, César A.; Abulfaraj, Anas; Altwijri, Abdulaziz
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    A survey of blockchain-based solutions for IoTs, VANETs, and FANETs
    (IGI Global, 2022-07-08) Abdelhafidh, Maroua; Charef, Nadia; Mnaouer, Adel Ben; Chaari, Lamia
    Recently, the internet of things (IoT) has gained popularity as an enabling technology for wireless connectivity of mobile and/or stationary devices providing useful services for the general public in a collaborative manner. Mobile ad-hoc networks (MANETs) are regarded as a legacy enabling technology for various IoT applications. Vehicular ad-hoc networks (VANETs) and flying ad-hoc networks (FANETs) are specific extensions of MANETs that are drivers of IoT applications. However, IoT is prone to diverse attacks, being branded as the weakest link in the networking chain requiring effective solutions for achieving an acceptable level of security. Blockchain (BC) technology has been identified as an efficient method to remedy IoT security concerns. Therefore, this chapter classifies the attacks targeting IoT, VANETs, and FANETs systems based on their vulnerabilities. This chapter explores a selection of blockchain-based solutions for securing IoT, VANETs, and FANETs and presents open research directions compiled out of the presented solutions as useful guidelines for the readers. © 2023, IGI Global. All rights reserved.
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    Toward a knowledge graph for medical diagnosis: issues and usage scenarios
    (Elsevier, 2022-01-01) De Nicola, Antonio; Zgheib, Rita; Taglino, Francesco
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    IoT-Based Bi-Cluster Forecasting Using Automated ML-Model Optimization for COVID-19
    (MDPI, 2023-03) Tariq, Hasan; Touati, Farid; Crescini, Damiano; Mnaouer, Adel Ben
    The current COVID-19 pandemic has raised huge concerns about outdoor air quality due to the expected lung deterioration. These concerns include the challenges associated with an increase of harmful gases like carbon dioxide, the iterative/repetitive inhalation due to mask usage, and harsh environmental temperatures. Even in the presence of air quality sensing devices, these challenges can hinder the prevention and treatment of respiratory diseases, epidemics, and pandemics in severe cases. In this research, a dual time series with a bi-cluster sensor data-stream-based novel optimized regression algorithm was proposed with optimization predictors and responses that use an automated iterative optimization of the model based on the similarity coefficient index. The algorithm was implemented over SeReNoV2 sensor nodes data, i.e., a multi-variate dual time-series sensor, of the environmental and US Environmental Protection Agency standard, which measures variables for the air quality index using air quality sensors with geospatial profiling. The SeReNoV2 systems were placed at four locations that were 3 km apart to monitor the air quality and their data was collected at Ubidots IoT platform over GSM. The results have shown that the proposed technique achieved a root mean square error (RMSE) of 1.0042 with a training time of 469.28 s for the control and an RMSE of 1.646 in a training time of 28.53 s when optimized. The estimated R-Squared error was 0.03, with the Mean-Square Error for temperature being 1.0084 °C, and 293.98 ppm for CO2. Furthermore, the Mean-Absolute Error (MAE) for temperature was 0.66226 °C and 10.252 ppm for the correlated-CO2 at a predicted speed of ~5100 observations/s. In the sample cluster for temperature, 45,000 observations/s for CO2 was achieved due to the iterative optimization of the training time (469.28 s). The correlated temperature and a time of 28.53 s for CO2 were very promising in forecasting COVID-19 countermeasures before time. © 2023 by the authors.
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    On performing speech steganalysis using speech recognition and perceptual criteria
    (2010) Rekik, Siwar; Guerchi, Driss; Selouani, Sid-Ahmed; Hamam, Habib
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    Advanced key distribuation center algorithm (AKDC)
    (2010) Abuazab, Hussam Hussein; Dahmane, Adel Omar; Hamam, Habib
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    Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors
    (Springer Science and Business Media Deutschland GmbH, 2022) Al Mehairi, Alya; Zgheib, Rita; Abdellatif, Tamer Mohamed; Conchon, Emmanuel
    Many private and public organizations in the UAE and around the world are facing challenges in protecting their information and systems from external cyber-attacks due to the increase in the usage of computer networks within worldwide businesses. The objective of this research study is to explore the strategies that are implemented by the public and private sectors in the UAE to safeguard their data and information systems from cyber-attacks. The findings of the study indicated that public organizations in the UAE do have effective strategies in place to safeguard their information and systems against any cyber-attacks. These strategies include providing adequate training to their employees to create awareness among them and developing robust cyber security strategies in line with the UAE National Cyber Security strategy framework. Public and some private organizations are vigilant in assessing, identifying, and mitigating cyber security risks and threats through well-designed organizational strategies. The research also concludes that protecting the information system can reduce cyber threats and can lead to improved business practices. The findings of this study will lay the foundations for other private and public sectors to use them in their organizational practices, which will help them to decrease the data breaches, and protect their company and customers’ confidential data, thereby reducing the cost and risk of cyber-attacks. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Artificial intelligence implication on energy sustainability in Internet of Things: A survey
    (Elsevier Ltd, 2023-03) Charef, Nadia; Ben Mnaouer, Adel; Aloqaily, Moayad; Bouachir, Ouns; Guizani, Mohsen
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    E-Supply Chain Issues in Internet of Medical Things
    (Institute of Electrical and Electronics Engineers Inc., 2022) Ghazal, Taher M.; Al-Dmour, Nidal A.; Mohamed, Tamer; Chabani, Zakariya; Harguem, Saida; Noamas, Samar; Almaazmi, Noura
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    Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
    (Elsevier B.V., 2023-04-01) Zgheib, Rita; Chahbandarian, Ghazar; Kamalov, Firuz; Messiry, Haythem El; Al-Gindy, Ahmed
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    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 Mohamed