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  • Open Access

    ARTICLE

    Optimal Hybrid Deep Learning Enabled Attack Detection and Classification in IoT Environment

    Fahad F. Alruwaili*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 99-115, 2023, DOI:10.32604/cmc.2023.034752

    Abstract The Internet of Things (IoT) paradigm enables end users to access networking services amongst diverse kinds of electronic devices. IoT security mechanism is a technology that concentrates on safeguarding the devices and networks connected in the IoT environment. In recent years, False Data Injection Attacks (FDIAs) have gained considerable interest in the IoT environment. Cybercriminals compromise the devices connected to the network and inject the data. Such attacks on the IoT environment can result in a considerable loss and interrupt normal activities among the IoT network devices. The FDI attacks have been effectively overcome so far by conventional threat detection… More >

  • Open Access

    ARTICLE

    Coot Optimization with Deep Learning-Based False Data Injection Attack Recognition

    T. Satyanarayana Murthy1, P. Udayakumar2, Fayadh Alenezi3, E. Laxmi Lydia4, Mohamad Khairi Ishak5,*

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 255-271, 2023, DOI:10.32604/csse.2023.034193

    Abstract The recent developments in smart cities pose major security issues for the Internet of Things (IoT) devices. These security issues directly result from inappropriate security management protocols and their implementation by IoT gadget developers. Cyber-attackers take advantage of such gadgets’ vulnerabilities through various attacks such as injection and Distributed Denial of Service (DDoS) attacks. In this background, Intrusion Detection (ID) is the only way to identify the attacks and mitigate their damage. The recent advancements in Machine Learning (ML) and Deep Learning (DL) models are useful in effectively classifying cyber-attacks. The current research paper introduces a new Coot Optimization Algorithm… More >

  • Open Access

    ARTICLE

    Analysis of the Emissions and Performance of a Diesel Engine Using Pumpkin Seed Oil Methyl Ester with Different Injection Pressures

    Surendrababu Kuppusamy1,*, Prabhahar Muthuswamy2, Muthurajan Kumarasamy3, Sendilvelan Subramanian4

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 1003-1014, 2023, DOI:10.32604/fdmp.2022.022262

    Abstract Biodiesel fuel is a potential alternative energy source for diesel engines due to its physiochemical characteristics relatively similar to those of traditional diesel fuel. In this study, the performance, emission, and combustion features of a mono cylinder DI diesel engine are assessed using 20% Pumpkin seed methyl ester (PSOME20) and considering varying injection pressures (200, 220, 240, and 260 bar). The considered Pumpkin seed oil is converted into pumpkin biodiesel by transesterification and then used as fuel. The findings demonstrate that the Brake Thermal Efficiency (BTE) of PSOME20 can be raised by 1.68%, and the carbon monoxide (CO), hydrocarbon (HC),… More > Graphic Abstract

    Analysis of the Emissions and Performance of a Diesel Engine Using Pumpkin Seed Oil Methyl Ester with Different Injection Pressures

  • Open Access

    ARTICLE

    Influence of Urea Uneven Injection on the Performances of a Diesel Engine

    Chang Huang, Shuzhan Bai, Guoxiang Li*, Ke Sun*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 83-93, 2023, DOI:10.32604/fdmp.2022.021662

    Abstract The influence of heterogeneous flow injection of urea at different velocities and temperatures on NOx conversion efficiency, ammonia storage and ammonia leakage is investigated experimentally. A diesel engine employing a selective catalytic reduction (SCR) technology is considered. It is found that for a fixed injection velocity, the degree of ammonia leakage changes depending on the temperature. The higher the temperature, the faster the catalytic reduction reaction and the smaller the degree of ammonia leakage. The temperature has a great influence on the catalytic reduction reaction rate. At an injection velocity of 10000/h, the average reaction rate at 420 C is… More >

  • Open Access

    ARTICLE

    A Secure Hardware Implementation for Elliptic Curve Digital Signature Algorithm

    Mouna Bedoui1,*, Belgacem Bouallegue1,2, Abdelmoty M. Ahmed2, Belgacem Hamdi1,3, Mohsen Machhout1, Mahmoud1, M. Khattab2

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2177-2193, 2023, DOI:10.32604/csse.2023.026516

    Abstract Since the end of the 1990s, cryptosystems implemented on smart cards have had to deal with two main categories of attacks: side-channel attacks and fault injection attacks. Countermeasures have been developed and validated against these two types of attacks, taking into account a well-defined attacker model. This work focuses on small vulnerabilities and countermeasures related to the Elliptic Curve Digital Signature Algorithm (ECDSA) algorithm. The work done in this paper focuses on protecting the ECDSA algorithm against fault-injection attacks. More precisely, we are interested in the countermeasures of scalar multiplication in the body of the elliptic curves to protect against… More >

  • Open Access

    ARTICLE

    A Solvation Model for Performance Enhancement of Dye-Sensitized Solar Cells

    Adel Daoud1,2,3,4,*, Ali Cheknane2, Jean Michel Nunzi3,4, Afak Meftah1

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1569-1579, 2022, DOI:10.32604/fdmp.2022.022091

    Abstract A solubility model for Merocyanine-540 dye together with the interface's electron transfer kinetics of MC-540/TiO2 has been investigated (Merocyanine 540-based dye has been used effectively in dye-sensitized solar cells). The highest absorption peaks were recorded at 489 nm and 493 nm in Water and Ethanol solvent, versus the vacuum phase which yielded 495 nm (associated with a modest electron injection-free energy value (ΔGinj) of -2.34 eV for both Water and Ethanol solvents). The time-dependent density functional theory (TD-DFT) method approach has been applied in this simulation. Additionally, the electronic structure and simulated UV-Vis spectra of the dye in different solvents… More > Graphic Abstract

    A Solvation Model for Performance Enhancement of Dye-Sensitized Solar Cells

  • Open Access

    ARTICLE

    Simulation and Modelling of Water Injection for Reservoir Pressure Maintenance

    Rishi Dewan1, Adarsh Kumar2, Mohammad Khalid Imam Rahmani3, Surbhi Bhatia4, Md Ezaz Ahmed3,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5761-5776, 2022, DOI:10.32604/cmc.2022.024762

    Abstract Water injection has shown to be one of the most successful, efficient, and cost-effective reservoir management strategies. By re-injecting treated and filtered water into reservoirs, this approach can help maintain reservoir pressure, increase hydrocarbon output, and reduce the environmental effect. The goal of this project is to create a water injection model utilizing Eclipse reservoir simulation software to better understand water injection methods for reservoir pressure maintenance. A basic reservoir model is utilized in this investigation. For simulation designs, the reservoir length, breadth, and thickness may be changed to different levels. The water-oil contact was discovered at 7000 feet, and the… More >

  • Open Access

    VIEWPOINT

    Therapeutic mechanisms and routes of delivery of mesenchymal stem cells in veterinary medicine: A point of view

    AMANDA BARACHO TRINDADE HILL1,2,*, JONATHAN EDWIN BARACHO TRINDADE HILL2

    BIOCELL, Vol.46, No.5, pp. 1173-1176, 2022, DOI:10.32604/biocell.2022.018637

    Abstract Mesenchymal stem cells (MSCs) represent an important tool in veterinary regenerative medicine due to their ability to home to injury sites and secrete molecules that regulate niches into regenerative microenvironments. Successful cell therapy depends on many factors, including choice of administration route and application of understanding of cell potency and their therapeutic mechanisms. In this point of view, the authors leverage the tumultuous history of the field to demonstrate the need for clinicians to continually update themselves as new discoveries are made in order to avoid misalignments in the future, especially regarding administration routes and dose frequency, as well as… More >

  • Open Access

    ARTICLE

    Optimization of Process Parameters for Injection Moulding of Nylon6/SiC and Nylon6/B4C Polymer Matrix Composites

    G. Boopathy1,2,*, K. Gurusami1, M. Chinnapandian3, K. R. Vijayakumar4

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.2, pp. 223-232, 2022, DOI:10.32604/fdmp.2022.018225

    Abstract In this research study, the mechanical properties of several Polymer matrix composites are investigated. These composites are multi-phase materials in which reinforcing materials are properly mixed with a polymer matrix. More precisely, Nylon 6 reinforced with 5, 15 and 25 wt. % of silicon carbide (SiC) and Nylon 6 reinforced with 5, 15 and 25 wt. % of boron carbide (B4C), prepared by means of an injection moulding process at three different injection pressures are considered. Specific attention is paid to the tensile and impact strength of these composites. The Taguchi technique is used to optimize the process parameters such as reinforcement… More >

  • Open Access

    ARTICLE

    Calculation of the Gas Injection Rate and Pipe String Erosion in Nitrogen Drilling Systems

    Mingren Shao1, Chunpeng Wang1, Degui Wang1, Wenbo Mei1, Mingjie Li1, Hao Yang2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.2, pp. 417-430, 2022, DOI:10.32604/fdmp.2022.018012

    Abstract Detailed information is provided for the design and construction of nitrogen drilling in a coal seam. Two prototype wells are considered. The Guo model is used to calculate the required minimum gas injection rate, while the Finnie, Sommerfeld, and Tulsa models are exploited to estimate the ensuing erosion occurring in pipe strings. The calculated minimum gas injection rates are 67.4 m3/min (with water) and 49.4 m3/min (without water), and the actual field of use is 90–120 m3/min. The difference between the calculated injection pressure and the field value is 6.5%–15.2% (formation with water) and 0.65%–7.32% (formation without water). The results… More >

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