Browsing by Author "Charef, Nadia"
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Item A survey of blockchain-based solutions for IoTs, VANETs, and FANETs(IGI Global, 2021-06-11) Abdelhafidh, Maroua; Charef, Nadia; Mnaouer, Adel Ben; Chaari, LamiaRecently, 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. © 2021, IGI Global.Item A survey of blockchain-based solutions for IoTs, VANETs, and FANETs(IGI Global, 2022-07-08) Abdelhafidh, Maroua; Charef, Nadia; Mnaouer, Adel Ben; Chaari, LamiaRecently, 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.Item AI-based Energy Model for Adaptive Duty Cycle Scheduling in Wireless Networks(Institute of Electrical and Electronics Engineers Inc., 2021) Charef, Nadia; Mnaouer, Adel Ben; Bouachir, OunsThe vast distribution of low-power devices in IoT applications requires robust communication technologies that ensure high-performance level in terms of QoS, light-weight computation, and security. Advanced wireless technologies (i.e. 5G and 6G) are playing an increasing role in facilitating the deployment of IoT applications. To prolong the network lifetime, energy harvesting is an essential technology in wireless networks. Nevertheless, maintaining energy sustainability is difficult when considering high QoS requirements in IoT. Therefore, an energy management technique that ensures energy efficiency and meets QoS is needed. Energy efficiency in duty cycling solutions needs novel energy management techniques to address these challenges and achieve a trade-off between energy efficiency and delay. Predictive models (i.e., based on AI and ML techniques) represent useful tools that encapsulate the stochastic nature of harvested energy in duty cycle scheduling. The conventional predictive model relies on environmental parameters to estimate the harvested energy. Instead, Artificial Intelligence (AI) allows for recursive prediction models that rely on past behavior of harvested and consumed energy. This is useful to achieve better precision in energy estimation and extend the limit beyond predictive models directed solely for energy sources that exhibit periodic behavior. In this paper, we explore the usage of a ML model to enhance the performance of duty cycle scheduling. The aim is to improve the QoS performance of the proposed solution. To assess the performance of the proposed model, it was simulated using the INET framework of the OMNet++ simulation environment. The results are compared to an enhanced IEEE 802.15.4 MAC protocol from the literature. The results of the comparative study show clear superiority of the proposed AI-based protocol that testified to better use of energy estimation for better management of the duty cycling at the MAC sublayer. © 2021 IEEE.Item 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, MohsenItem Blockchain-Based Key Management Solution for Clustered Flying Ad-Hoc Network(Institute of Electrical and Electronics Engineers Inc., 2023) Abdelhafidh, Maroua; Zaghdoud, Nesrine; Charef, Nadia; Ben Mnaouer, AdelItem 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, FaridItem Software-Defined Networking for Flying Ad-hoc Network Security: A Survey(Institute of Electrical and Electronics Engineers Inc., 2022) Abdelhafidh, Maroua; Charef, Nadia; Mnaouer, Adel Ben; Fourati, Lamia Chaari