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Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 58-73页

作者： Qingsong Zhao Lei Shu Kailiang Li mohamed amine Ferrag Ximeng Liu Yanbin Li the College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031 the State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023 the State Key Laboratory of Cryptology Beijing 100878China IEEE the School of Engineering University of LincolnLincoln LN67TSUK the Artificial Intelligence and Digital Science Research Center Technology Innovation InstituteMasdar City 9639UAE the College of Computer and Data Science Fuzhou UniversityFuzhou 350108China

Solar insecticidal lamps(SIL) can effectively control pests and reduce the use of pesticides. Combining SIL and Internet of Things(IoT) has formed a new type of agricultural IoT,known as SIL-IoT, which can improve the effectiveness of migratory phototropic pest control. However, since the SIL is connected to the Internet, it is vulnerable to various security *** issues can lead to serious consequences, such as tampering with the parameters of SIL, illegally starting and stopping SIL,etc. In this paper, we describe the overall security requirements of SIL-IoT and present an extensive survey of security and privacy solutions for SIL-IoT. We investigate the background and logical architecture of SIL-IoT, discuss SIL-IoT security scenarios, and analyze potential attacks. Starting from the security requirements of SIL-IoT we divide them into six categories, namely privacy, authentication, confidentiality, access control, availability,and integrity. Next, we describe the SIL-IoT privacy and security solutions, as well as the blockchain-based solutions. Based on the current survey, we finally discuss the challenges and future research directions of SIL-IoT.

关键词： Challenges Internet of Things(IoT) privacy and security security requirements solar insecticidal lamps(SIL)

Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets,and Future Directions

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 407-436页

作者： mohamed amine Ferrag Lei Shu Othmane Friha Xing Yang Department of Computer Science Guelma UniversityB.P.40124000Algeria IEEE College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031China School of Engineering University of LincolnLincoln LN67TSUK Networks and Systems Laboratory(LRS) University of Badji Mokhtar-AnnabaB.P.12Annaba 23000Algeria College of Engineering Nanjing Agricultural UniversityNanjing 210031China

In this paper,we review and analyze intrusion detection systems for Agriculture 4.0 cyber ***,we present cyber security threats and evaluation metrics used in the performance evaluation of an intrusion detection system for Agriculture ***,we evaluate intrusion detection systems according to emerging technologies,including,Cloud computing,Fog/Edge computing,Network virtualization,Autonomous tractors,Drones,Internet of Things,Industrial agriculture,and Smart *** on the machine learning technique used,we provide a comprehensive classification of intrusion detection systems in each emerging ***,we present public datasets,and the implementation frameworks applied in the performance evaluation of intrusion detection systems for Agriculture ***,we outline challenges and future research directions in cyber security intrusion detection for Agriculture 4.0.

关键词： Agriculture 4.0 cyber security intrusion detectionsystem machine learning approaches smart agriculture

Static and dynamic stability responses of multilayer functionally graded carbon nanotubes reinforced composite nanoplates via quasi 3D nonlocal strain gradient theory

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Defence Technology（防务技术） 2022年第10期18卷 1778-1809页

作者： Ahmed amine Daikh mohamed Sid Ahmed Houari mohamed Ouejdi Belarbi Salwa A.mohamed mohamed A.Eltaher Laboratoire D'Etude des Structures et de Mecanique des Materiaux Departement de Genie CivilFacultedes Sciences et de La TechnologieUniversite Mustapha Stambouli B.P.305R.P.29000MascaraAlgeria Laboratoire de Genie Energetique et Materiaux LGEMUniversite de BiskraB.P.145R.P07000BiskraAlgeria Department of Engineering Mathematics Zagazig UniversityP.O.Box 44519ZagazigEgypt Faculty of Engineering Mechanical Engineering DepartmentKing Abdulaziz UniversityP.O.Box 80204JeddahSaudi Arabia Faculty of Engineering Mechanical Design and Production DepartmentZagazig UniversityP.O.Box 44519ZagazigEgypt

This manuscript presents the comprehensive study of thickness stretching effects on the free vibration,static stability and bending of multilayer functionally graded(FG)carbon nanotubes reinforced composite(CNTRC)*** nanoscale and microstructure influences are considered through a modified nonlocal strain gradient continuum *** on power-law functions,four different patterns of CNTs distribution are considered in this analysis,a uniform distribution UD,FG-V CNTRC,FG-X CNTRC,and FG-O CNTRC.A 3D kinematic shear deformation theory is proposed to include the stretching influence,which is neglected in classical ***'s principle is applied to derive the governing equations of motion and associated boundary *** solutions are developed based on Galerkin method to solve the governing equilibrium equations based on the generalized higher-order shear deformation theory and the nonlocal strain gradient theory and get the static bending,buckling loads,and natural frequencies of *** with previous works is presented.A detailed parametric analysis is carried out to highlight the impact of thickness stretching,length scale parameter(nonlocal),material scale parameter(gradient),CNTs distribution pattern,geometry of the plate,various boundary conditions and the total number of layers on the stresses,deformation,critical buckling loads and vibration *** new results are also reported in the current study,which will serve as a benchmark for future research.

关键词： 3D shear deformation theory Free vibration Buckling Bending Galerkin method Functionally graded nanotube Nonlocal strain gradient theory

Modeling and Analysis of UAV-Assisted Mobile Network with Imperfect Beam Alignment

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Computers, Materials & Continua 2023年第1期74卷 453-467页

作者： mohamed amine Ouamri Reem Alkanhel Cedric Gueguen Manal Abdullah Alohali Sherif S.M.Ghoneim University of Rennes 1/ADOPNET team at IRISA laboratory Rennes35000France Facultéde Technologie Laboratoire d’Informatique Médicale(LIMED)Universitéde BejaiaBejaia06000Algérie Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Electrical engineering department College of EngineeringTaif University P.O.Box 11099Taif21944Saudi Arabia

With the rapid development of emerging 5G and beyond(B5G),Unmanned Aerial Vehicles(UAVs)are increasingly important to improve the performance of dense cellular *** a conventional metric,coverage probability has been widely studied in communication systems due to the increasing density of users and complexity of the heterogeneous *** recent years,stochastic geometry has attracted more attention as a mathematical tool for modeling mobile network *** this paper,an analytical approach to the coverage probability analysis of UAV-assisted cellular networks with imperfect beam alignment has been *** assumption was considered that all users are distributed according to Poisson Cluster Process(PCP)around base stations,in particular,Thomas Cluster Process(TCP).Using thismodel,the impact of beam alignment errors on the coverage probabilitywas ***,the ProbabilityDensity Function(PDF)of directional antenna gain between the user and its serving base station was ***,association probability with each tier was achieved.A tractable expression was derived for coverage probability in both Line-of-Sight(LoS)andNon-Line-of-Sight(NLoS)condition *** results demonstrated that at low UAVs altitude,beam alignment errors significantly degrade coverage ***,for a small cluster size,alignment errors do not necessarily affect the coverage performance.

关键词： Unmanned aerial vehicles coverage analysis stochastic geometry millimeter wave imperfect beam alignment

Mechanical Characterisation of Interface for Steel/Polymer Composite Using Pull-out Test: Shear-Lag and Frictional Analysis

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Journal of Materials Science & Technology 2006年第4期22卷 552-558页

作者： mohamed KHARRAT Maher DAMMAK amine CHARFI Institut Préparatoire aux Etudes d'Ingénieurs de Sfax Tunisia Laboratoire des Systèmes ElectromécaniquesEcole Nationale d'Ingénieurs de SfaxTunisia Laboratoire des Systèmes Electromécaniques Ecole Nationale d'Ingénieurs de SfaxTunisia

Fibre-matrix interface is known to have contribution to the mechanical performance of fibre-reinforced composite by its potential for load transfer between the fibre and the matrix. Such load transfer is of great importance in dentistry when a post is used for fixing a ceramic crown on the tooth. In this study, a pull-out test was carried out to analyse the interfacial properties of a steel fibre embedded in a polyester and epoxy matrices. It was found that the fibre-matrix interface is debonded on the whole embedded length when the fibre stress reached the debonding stress. Then, the fibre stress fell down to the initial extraction stress required to pulling out the debonded fibre from the matrix. Both debonding stress and initial extraction stress initiated a linear increase with the implantation length after the debonding stress reached horizontal asymptotes. To analyse the fibre-matrix load transfer before debonding, an analytical shear-lag model was adopted to in this test conditions. Fitting the experimental results with the analytical model provided the interfacial shear strength. By considering the Coulomb friction at the fibre-matrix interface during the fibre extraction process, an analytical model which considers Poisson＇s effects on both fibre and matrix, was developed. In this model, knowledge of the initial extraction stress of the fibre provides the residual normal stress at the fibre-matrix interface.

关键词： Fibre Matrix Interface Pull-out Shear-lag Debonding Friction

Double Deep Q-Network Method for Energy Efficiency and Throughput in a UAV-Assisted Terrestrial Network

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Computer Systems Science & Engineering 2023年第7期46卷 73-92页

作者： mohamed amine Ouamri Reem Alkanhel Daljeet Singh El-sayed M.El-kenaway Sherif S.M.Ghoneim University Grenoble Alpes CNRSGrenoble INPLIGDRAKKAR Teams38000GrenobleFrance Laboratoire d’informatique Médical Universitéde BejaiaTarga OuzemourQ22R+475Algeria Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Research and Development Centre for Space ResearchSchool of Electronics and Electrical EngineeringLovely Professional UniversityPhagwara144411India Department of Communication and Electronics Delta Higher Institute of Engineering and TechnologyMansouraEgypt Electrical Engineering Department College of EngineeringTaif UniversityP.O.BOX 11099Taif21944Saudi Arabia

Increasing the coverage and capacity of cellular networks by deploying additional base stations is one of the fundamental objectives of fifth-generation(5G)***,it leads to performance degradation and huge spectral consumption due to the massive densification of connected devices and simultaneous access *** meet these access conditions and improve Quality of Service,resource allocation(RA)should be carefully ***,RA problems are nonconvex optimizations,which are performed using heuristic methods,such as genetic algorithm,particle swarm optimization,and simulated ***,the application of these approaches remains computationally expensive and unattractive for dense cellular ***,artificial intelligence algorithms are used to improve traditional RA *** learning is a promising tool for addressing resource management problems in wireless *** this study,we investigate a double deep Q-network-based RA framework that maximizes energy efficiency(EE)and total network throughput in unmanned aerial vehicle(UAV)-assisted terrestrial ***,the system is studied under the constraints of ***,the optimization problem is formulated as a mixed integer nonlinear *** this framework,we evaluated the effect of height and the number of UAVs on EE and ***,in accordance with the experimental results,we compare the proposed algorithm with several artificial intelligence *** results indicate that the proposed approach can increase EE with a considerable throughput.

关键词： UAV terrestrial network reinforcement learning mmWave resource allocation

Fighting COVID-19 and Future Pandemics With the Internet of Things:Security and Privacy Perspectives

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IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1477-1499页

作者： mohamed amine Ferrag Lei Shu Kim-Kwang Raymond Choo Department of Computer Science Guelma UniversityB.P.40124000Algeria College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210095Chinaand also with the School of EngineeringUniversity of LincolnLincoln LN67TSUK Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX 78249-0631 USA

The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2;also referred to as novel Coronavirus 2019 and COVID-19)have resulted in a global pandemic,with significant health,financial,political,and other *** have been various attempts to manage COVID-19 and other pandemics using technologies such as Internet of Things(IoT)and 5G/6G ***,we also need to ensure that IoT devices used to facilitate COVID-19 monitoring and treatment(e.g.,medical IoT devices)are secured,as the compromise of such devices can have significant consequences(e.g.,life-threatening risks to COVID-19 patients).Hence,in this paper we comprehensively survey existing IoT-related solutions,potential security and privacy risks and their *** example,we classify existing security and privacy solutions into five categories,namely:authentication and access control solutions,key management and cryptography solutions,blockchain-based solutions,intrusion detection systems,and privacy-preserving *** each category,we identify the associated *** also identify a number of recommendations to inform future research.

关键词： Blockchain COVID-19 healthcare privacy SARS-CoV-2 security

Seismic Signature Analysis for Clarification of Mud Volcanoes from the New Mud Diapirs Discovered at the NE-SW Moroccan Atlantic Margin

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Open Journal of Geology 2022年第11期12卷 973-982页

作者： Asher Hategekamungu Nadia Mhammdi amine Manar mohamed Department of Earth Sciences Scientific Institute Laboratory LGRN and GEOPAC research Centre University Mohammed V in Rabat Av. Ibn Batouta Agdal Rabat Morocco Department of Petroleum Exploration Direction and South Offshore Office National des Hydrocarbures et des Mines (ONHYM) Rabat Morocco

Our aim is to clarify mud volcanoes from the new mud diapirs resulting from the seismic attributes analysis applied to the low resolution Burmah oil “1973-1974” seismic data. The latter was carried out on the Larache and Tanger-Larache offshores from the NE-SW Atlantic margin. The high resolution seismic data was essential for this evaluation. In this case, we applied seismic signature analysis to four seismic profiles from the map of the seismic data set, which includes all new mud diapirs. This helped us to classify different types of mud diapirs within the seismic profiles. And as a result, six deep mud diapirs from the Prerifaine Nappe of Morocco, a shallow mud diapir, and four seafloor-piercing mud diapirs have been observed. Furthermore, the seafloor-piercing mud diapirs show a mushroom-shaped and conical-shaped cone. As they break through the seafloor, these kinds of cones characterize mud volcanoes. In this case, we may conclude that the resultant seafloor-piercing mud diapirs are likely to be mud volcanoes. However, more geological sampling and seafloor observation are still required.

关键词： Seismic Signature Analysis Clarification Mud Volcanoes Discovered Mud Diapirs NW-SW Moroccan Margin

Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies

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IEEE/CAA Journal of Automatica Sinica 2021年第4期8卷 718-752页

作者： Othmane Friha mohamed amine Ferrag Lei Shu Leandros Maglaras Xiaochan Wang Networks and Systems Laboratory University of Badji Mokhtar-AnnabaAnnaba 23000Algeria Department of Computer Science Guelma UniversityGulema 24000Algeria College of Engineering Nanjing Agricultural UniversityNanjing 210095China School of Engineering University of LincolnLincoln LN67TSUK School of Computer Science and Informatics De Montfort UniversityLeicester LE19BHUK Department of Electrical Engineering Nanjing Agricultural UniversityNanjing 210095China

This paper presents a comprehensive review of emerging technologies for the internet of things(IoT)-based smart *** begin by summarizing the existing surveys and describing emergent technologies for the agricultural IoT,such as unmanned aerial vehicles,wireless technologies,open-source IoT platforms,software defined networking(SDN),network function virtualization(NFV)technologies,cloud/fog computing,and middleware *** also provide a classification of IoT applications for smart agriculture into seven categories:including smart monitoring,smart water management,agrochemicals applications,disease management,smart harvesting,supply chain management,and smart agricultural ***,we provide a taxonomy and a side-by-side comparison of the state-ofthe-art methods toward supply chain management based on the blockchain technology for agricultural ***,we present real projects that use most of the aforementioned technologies,which demonstrate their great performance in the field of smart ***,we highlight open research challenges and discuss possible future research directions for agricultural IoTs.

关键词： Agricultural internet of things(IoT) internet of things(IoT) smart agriculture smart farming sustainable agriculture