Browsing by Author "Fourati, Lamia Chaari"
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Item Cognitive internet of things for smart water pipeline monitoring system(Institute of Electrical and Electronics Engineers Inc., 2018-07-02) 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.Item Enabling blockchain technology for secure networking and communications(IGI Global, 2021-06-11) Mnaouer, Adel Ben; Fourati, Lamia ChaariIn recent years, the surge of blockchain technology has been rising due to is proven reliability in ensuring secure and effective transactions, even between untrusted parties. Its application is broad and covers public and private domains varying from traditional communication networks to more modern networks like the internet of things and the internet of energy crossing fog and edge computing, among others. As technology matures and its standard use cases are established, there is a need to gather recent research that can shed light on several aspects and facts on the use of blockchain technology in different fields of interest. Enabling Blockchain Technology for Secure Networking and Communications consolidates the recent research initiatives directed towards exploiting the advantages of blockchain technology for benefiting several areas of applications that vary from security and robustness to scalability and privacy-preserving and more. The chapters explore the current applications of blockchain for networking and communications, the future potentials of blockchain technology, and some not-yet-prospected areas of research and its application. This book is ideal for practitioners, stakeholders, researchers, academicians, and students interested in the concepts of blockchain technology and the potential and pitfalls of its application in different utilization domains. © 2021 by IGI Global. All rights reserved. All rights reserved.Item Lifetime 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.Item Linear 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.Item Novel 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.Item Security challenges against cognitive IoT development(Institute of Electrical and Electronics Engineers Inc., 2018) Fourati, Lamia Chaari; Fourati, Mohamed; Mnaouer, Adel BenInternet of things has the ability to control and impact our physical world through technology by combining data collected from sensors and databases along with mining computational intelligence and analytics within IoT platforms. This is leading to a new generation of IoT solutions based on cognition and intelligent reasoning and known as cognitive IoT that will to paving the way to the deployment of new powerful tools. However, this cognition is susceptible to heavy risks related to security and privacy risks and vulnerabilities. In this context, this study will identify cognition and computing intelligence associated to IoT and highlights possible threats and attacks. © 2018 IEEE.Item 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