Browsing Faculty of Engineering, Applied Science and Technology by Author "Abdelhafidh, Maroua"
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- ItemA 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.
- ItemCognitive internet of things for smart water pipeline monitoring system(Institute of Electrical and Electronics Engineers Inc., 2019) Abdelhafidh, Maroua; Mohamed, Fourati; Fourati, Lamia Chaari; Mnaouer, Adel Ben; Mokhtar, Zid; Permission to reuse the abstract has been secured from the Publisher.Water Pipeline Monitoring System (WPMS) is extremely important considering the several pipeline damages and the various hydraulic failures that cause a critical water loss. In this context, Cognitive Water Distribution System integrates Internet of Things (IoT) technology, based on smart sensors, actuators and connected objects, with a reliable Big Data processing for smart and robust Structural Health Monitoring (SHM) of pipelines. In this paper, we propose a cognitive IoT-based architecture where we used Apache Spark framework to maintain a real time processing of the large amount of collected data. This efficient processing of measured data and its correspondent calculated values simplify the transient simulations and leak detection and make it faster and easier. © 2018 IEEE.
- ItemEMASS: A Novel Energy, Safety and Mobility Aware-based Clustering Algorithm for FANETs(Institute of Electrical and Electronics Engineers Inc., 2021) Aissa, Mohamed; Abdelhafidh, Maroua; Mnaouer, Adel BenThe Unmanned Aerial Vehicles (UAVs), organized as a Flying Ad-hoc NETwork (FANET), are used to make effective remote monitoring in diverse applications. Due to their high mobility, their energy consumption is increasingly affected leading to reduced network stability and communication efficiency. The design of node clustering of a FANET needs to consider the number of UAVs in the vicinity (transmission range) in order to ensure an adaptive reliable routing. Novel clustering schemes have been employed to deal with the highly dynamic flying behavior of UAVs and to maintain network stability. In this context, a new clustering algorithm is proposed to address the fast mobility of UAVs and provide safe inter-UAV distance, stable communication and extended network lifetime. The main contributions of this paper are first to extend and improve important metrics used in two well-known algorithms in the literature namely: The Bio-Inspired Clustering Scheme for FANETs (BICSF) and the Energy Aware Link-based Clustering (EALC). Then, exploiting the improved metrics, a Energy and Mobility-aware Stable and Safe Clustering (EMASS) algorithm, built upon new schemes useful for ensuring stability and safety in FANETs, is proposed.The simulation results showed that the EMASS algorithm outperformed the BICSF and the EALC algorithms in terms of better cluster stability, guaranteed safety, higher packet deliverability, improved energy saving and lower delays. CCBYNCND
- ItemLifetime maximization for pipeline monitoring based on data aggregation and bio-inspired clustering algorithm(Institute of Electrical and Electronics Engineers Inc., 2018) Abdelhafidh, Maroua; Fourati, Mohamed; Fourati, Lamia Chaari; Mnaouer, Adel Ben; Zid, MokhtarHydraulic failures in Water Pipeline System (WPS) can cause catastrophic environmental hazards. Wireless Sensor Networks (WSN) are greatly deployed to maintain a Structural Health Monitoring of pipeline and supervise the WPS. Since, its implementation increases significantly, its energy consumption represents a critical challenge that should be imperatively investigated in order to ensure an efficient and seamless interconnection between sensor nodes. In this context, the data aggregation techniques are well-designed and various smart algorithms are developed to reduce the quantity of transmitted data and to minimize the energy consumption. In this paper, we combine between data aggregation and bio-inspired clustering algorithm in order to improve the WSN Lifetime. © 2018 IEEE.
- ItemLinear WSN lifetime maximization for pipeline monitoring using hybrid K-means ACO clustering algorithm(IEEE Computer Society, 2018) Abdelhafidh, Maroua; Fourati, Mohamed; Fourati, Lamia Chaari; Mnaouer, Adel Ben; Zid, MokhtarWater Pipeline Monitoring Systems have emerged as a reliable solution to maintain the integrity of the water distribution infrastructure. Various emerging technologies such as the Internet of Things, Physical Cyber Systems, and machine-to-machine networks are efficiently deployed to build a Structural Health Monitoring of pipeline and invoke the deployment of the Industrial Wireless Sensor Networks (IWSN) technology. Efficient energy consumption is imperatively required to maintain the continuity of the network and to allow an adequate interconnection between sensor nodes deployed in the harsh environment. In this context, to maximize the Lifetime of the WSN under Water Distribution system domain is a primordial objective to ensure its permanently working and to enable a promising solution for hydraulic damage detection according to diverse performance metrics. In this paper, we propose an hybrid clustering algorithm based on K-means and Ant Colony Optimization (ACO); called K-ACO to improve the WSN Lifetime. © 2018 IEEE.
- ItemNovel data preprocessing algorithm for WSN lifetime maximization in water pipeline monitoring system(Institute of Electrical and Electronics Engineers Inc., 2019) Abdelhafidh, Maroua; Fourati, Mohamed; Fourati, Lamia Chaari; Mnaouer, Adel Ben; Zid, MokhtarWireless Sensor Networks (WSN) are widely deployed to maintain Structural Health Monitoring of Water Pipeline System (WPS). Accordingly, it is imperatively important to ensure reliable communication between sensor nodes deployed in harsh environment to allow a continuous data collection and processing. In this context, we propose and implement an energy efficient solution that enables a seamless interconnection between sensor nodes, and trusty data transmission in order to maximize the network lifetime. After a clustering step, a Data Redundancy Elimination technique is applied to remove redundant data at each cluster head. This operation is followed by a data fusion algorithm based on Dempster-Shafer evidence theory at the Base Station. This scheme is proposed with aim of reducing the size of data carried by the network and consequently save on energy consumption. This results in improved WSN lifetime and more accurate WPS systems. © 2019 IEEE.
- ItemSoftware-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 ChaariDespite the immense use of single Unmanned Aerial Vehicle (UAV) systems in various applications, it is not yet able to cover large areas with optimized energy consumption. Accordingly, Flying Ad-hoc Network (FANET), as a collaborative groups of UAV s, is tremendously employed in recent research works allowing larger coverage and efficient monitoring. To ensure a secure FANET control, Software-Defined Networking (SDN) based solutions are frequently considered. This work presents and compares the recent SDN-based solutions proposed to reinforce FANET security and reduce its attacks. In addition, open research issues are highlighted with respect to SDN-FANET challenges. © 2022 IEEE.