Tong Wu^*, Dawei Zhou

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3067-3094, 2025, DOI:10.32604/cmc.2025.066525 - 23 September 2025

Abstract Fault attacks have emerged as an increasingly effective approach for integrated circuit security attacks due to their short execution time and minimal data requirement. However, the lack of a unified leakage model remains a critical challenge, as existing methods often rely on algorithm-specific details or prior knowledge of plaintexts and intermediate values. This paper proposes the Fault Probability Model based on Hamming Weight (FPHW) to address this. This novel statistical framework quantifies fault attacks by solely analyzing the statistical response of the target device, eliminating the need for attack algorithm details or implementation specifics. Building… More >

Ghadah Aldehim, Shakila Basheer, Ala Saleh Alluhaidan, Sapiah Sakri^*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3599-3619, 2025, DOI:10.32604/cmc.2025.065643 - 23 September 2025

Abstract Although digital changes in power systems have added more ways to monitor and control them, these changes have also led to new cyber-attack risks, mainly from False Data Injection (FDI) attacks. If this happens, the sensors and operations are compromised, which can lead to big problems, disruptions, failures and blackouts. In response to this challenge, this paper presents a reliable and innovative detection framework that leverages Bidirectional Long Short-Term Memory (Bi-LSTM) networks and employs explanatory methods from Artificial Intelligence (AI). Not only does the suggested architecture detect potential fraud with high accuracy, but it also… More >

Hailong Chen^*, Yu Zhang, Xin Luan, Mingyu Zhang, Guanzhen Tao

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1753-1770, 2025, DOI:10.32604/fdmp.2025.066494 - 31 July 2025

Abstract Fuel injection properties, including the injection rate (temporal aspects) and spray behavior (spatial aspects), play a crucial role in the combustion efficiency and emissions of diesel engines. This study investigates the effects of different ethanol-biodiesel-diesel (EBD) blends on the injection performance in diesel engines. Experimental tests are conducted to examine key injection parameters, such as spray penetration distance, spray cone angle, and droplet size, alongside an analysis of coupling leakage. The main findings are as follows: (1) The injection behavior of ethanol and diesel differs significantly. The addition of ethanol reduces the density, viscosity, and… More >

Yu Sang¹, Anqi Du¹, Changqing Ye¹, Jianhua Xiang¹, Yi Chen¹, Yazhou Guo², Le Shen^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1623-1639, 2025, DOI:10.32604/fdmp.2025.065832 - 31 July 2025

Abstract In the context of the global “Carbon Peaking and Carbon Neutrality” initiative, the injection of carbon dioxide (CO₂) into depleted gas reservoirs represents a dual-purpose strategy—facilitating long-term carbon sequestration while enhancing hydrocarbon recovery. However, variations in injection parameters at the wellhead can exert pronounced effects on the temperature and pressure conditions at the bottom of the well. These variations, in turn, influence the geomechanical behavior of reservoir rocks and the displacement efficiency of CO₂ within the formation. Precise prediction of downhole thermodynamic conditions is therefore essential for optimizing injection performance and ensuring reservoir stability. To address… More >

Chenxin Lin¹, Qun Zhou¹, Zhan Wang^2,*, Ximing Fan², Yaochang Xu², Yijia Xu²

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5859-5877, 2025, DOI:10.32604/cmc.2025.065496 - 30 July 2025

Abstract False Data Injection Attack (FDIA), a disruptive cyber threat, is becoming increasingly detrimental to smart grids with the deepening integration of information technology and physical power systems, leading to system unreliability, data integrity loss and operational vulnerability exposure. Given its widespread harm and impact, conducting in-depth research on FDIA detection is vitally important. This paper innovatively introduces a FDIA detection scheme: A Protected Federated Deep Learning (ProFed), which leverages Federated Averaging algorithm (FedAvg) as a foundational framework to fortify data security, harnesses pre-trained enhanced spatial-temporal graph neural networks (STGNN) to perform localized model training and More >

Rajiva Lochan Mohanty, Sumanta Chaudhuri^*, Anish Pandey

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 899-919, 2025, DOI:10.32604/fhmt.2025.064444 - 30 June 2025

Abstract Characteristics of heat transfer and flow of Newtonian and non-Newtonian fluids through porous walls and in porous media are studied due to their wide range of applications including geothermal reservoirs, heat exchangers, marine propulsion, and aerodynamics. The current study investigates the characteristics of heat transport in a reactive third-grade fluid, moving through permeable parallel plates, with uniform suction/injection velocity. The two permeable, parallel plates are maintained at the same, constant temperature. After being transformed into its dimensionless equivalent, governing equations are solved by employing the Least Squares Method (LSM). The LSM results are further validated… More >

Roasi A. Flayh^*, Ayser Muneer Flayh

Energy Engineering, Vol.122, No.7, pp. 2801-2818, 2025, DOI:10.32604/ee.2025.062916 - 27 June 2025

Abstract Double pipe heat exchangers (DPHEs) are normally utilized in various manufacturing uses owing to their simple design and low maintenance requirements. For that, performance enhancement by improved heat transfer is ongoing. Air injections are a good strategy for enhancing the thermal performance of the DPHE. In the present work, the influence of air bubble injection in a DPHE was experimentally investigated, and the system’s hydrothermal performance improvement parameters were evaluated. Two modes were designed, manufactured, and used to conduct the experiments. The first mode was conducted with no air injection, named a single phase mode,… More >

Ibrahim T. Teke^1,2, Ahmet H. Ertas^2,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 243-264, 2025, DOI:10.32604/cmc.2025.066086 - 09 June 2025

Abstract This study presents a novel hybrid topology optimization and mold design framework that integrates process fitting, runner system optimization, and structural analysis to significantly enhance the performance of injection-molded parts. At its core, the framework employs a greedy algorithm that generates runner systems based on adjacency and shortest path principles, leading to improvements in both mechanical strength and material efficiency. The design optimization is validated through a series of rigorous experimental tests, including three-point bending and torsion tests performed on key-socket frames, ensuring that the optimized designs meet practical performance requirements. A critical innovation of… More >

Yuqi Chen^1,2, Guangjun Liang^1,2,3,*, Qun Wang^1,2,3

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1145-1167, 2025, DOI:10.32604/cmc.2025.063319 - 09 June 2025

Abstract Structured Query Language (SQL) injection attacks have become the most common means of attacking Web applications due to their simple implementation and high degree of harm. Traditional injection attack detection techniques struggle to accurately identify various types of SQL injection attacks. This paper presents an enhanced SQL injection detection method that utilizes content matching technology to improve the accuracy and efficiency of detection. Features are extracted through content matching, effectively avoiding the loss of valid information, and an improved deep learning model is employed to enhance the detection effect of SQL injections. Considering that grammar More >

Wensheng Zhou^1,2, Chen Liu^1,2, Deqiang Wang^1,2, Bin Wang³, Yaguang Qu^4,*

Energy Engineering, Vol.122, No.6, pp. 2337-2354, 2025, DOI:10.32604/ee.2025.062530 - 29 May 2025

Abstract The J oilfield in the Bohai has a long development history and has undergone comprehensive adjustment measures, including water injection and polymer injection. Following these adjustments, the injection and production well network now features coexistence of both polymer injection wells and water injection wells, which has negatively impacted production dynamics. Firstly, based on the adjusted reservoir well network in the J oilfield, a representative water-polymer co-injection well network was established. Subsequently, a numerical simulation model of this typical reservoir unit was developed using reservoir numerical simulation methods to confirm the interference issues associated with water-polymer More >