Wy-Liang Cheng¹, Wei Hong Lim^1,*, Kim Soon Chong¹, Sew Sun Tiang¹, Yit Hong Choo², El-Sayed M. El-kenawy^3,4, Amal H. Alharbi⁵, Marwa M. Eid^6,7

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 2021-2050, 2025, DOI:10.32604/cmc.2025.064243 - 29 August 2025

Abstract The exponential growth of data in recent years has introduced significant challenges in managing high-dimensional datasets, particularly in industrial contexts where efficient data handling and process innovation are critical. Feature selection, an essential step in data-driven process innovation, aims to identify the most relevant features to improve model interpretability, reduce complexity, and enhance predictive accuracy. To address the limitations of existing feature selection methods, this study introduces a novel wrapper-based feature selection framework leveraging the recently proposed Arctic Puffin Optimization (APO) algorithm. Specifically, we incorporate a specialized conversion mechanism to effectively adapt APO from continuous… More >

Yanan Liu¹, Lei Cao^1,*, Zheng Zhang^1,*, Ge Li², Shuo Qiu¹, Suhao Wang¹

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4997-5019, 2025, DOI:10.32604/cmc.2025.066836 - 30 July 2025

Abstract As the adoption of Vehicular Ad-hoc Networks (VANETs) grows, ensuring secure communication between smart vehicles and remote application servers (APPs) has become a critical challenge. While existing solutions focus on various aspects of security, gaps remain in addressing both high security requirements and the resource-constrained nature of VANET environments. This paper proposes an extended-Kerberos protocol that integrates Physical Unclonable Function (PUF) for authentication and key agreement, offering a comprehensive solution to the security challenges in VANETs. The protocol facilitates mutual authentication and secure key agreement between vehicles and APPs, ensuring the confidentiality and integrity of vehicle-to-network… More >

Zhengyang Zhang^1,2, Jing Sun^1,2,*, Xin Shi³, Dehua Liu^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 509-527, 2025, DOI:10.32604/fdmp.2025.060393 - 01 April 2025

Abstract High saturation pressure reservoirs experience rapid pressure decline during exploitation, leading to significant changes in crude oil phase behavior and a continuous increase in viscosity after degassing, which adversely affects oil recovery. This challenge is particularly acute in tight sandstone reservoirs. To optimize the development strategy for such reservoirs, a series of experiments were conducted using core samples from a high saturation tight sandstone reservoir in the JS oilfield. Gas-dissolved crude oil was prepared by mixing wellhead oil and gas samples, enabling the identification of the critical point where viscosity changes as pressure decreases. Oil-water… More >

Xiao Feng^1,2,3,*, Xiao Liao^1,3, Xiaokang Lin^1,3, Yonggui Wang^1,3

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1307-1325, 2025, DOI:10.32604/cmc.2025.061069 - 26 March 2025

Abstract In the context of the diversity of smart terminals, the unity of the root of trust becomes complicated, which not only affects the efficiency of trust propagation, but also poses a challenge to the security of the whole system. In particular, the solidification of the root of trust in non-volatile memory (NVM) restricts the system’s dynamic updating capability, which is an obvious disadvantage in a rapidly changing security environment. To address this issue, this study proposes a novel approach to generate root security parameters using static random access memory (SRAM) physical unclonable functions (PUFs). SRAM… More >

Ali Ahmadi Shahrakht¹, Parisa Hajirahimi², Omid Rostami³, Diego Martín^4,*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3059-3081, 2023, DOI:10.32604/iasc.2023.040502 - 11 September 2023

Abstract As the internet of things (IoT) continues to expand rapidly, the significance of its security concerns has grown in recent years. To address these concerns, physical unclonable functions (PUFs) have emerged as valuable tools for enhancing IoT security. PUFs leverage the inherent randomness found in the embedded hardware of IoT devices. However, it has been shown that some PUFs can be modeled by attackers using machine-learning-based approaches. In this paper, a new deep learning (DL)-based modeling attack is introduced to break the resistance of complex XAPUFs. Because training DL models is a problem that falls… More >

Meng Wang¹, Jun Yao¹, Dongyan Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08913

Abstract In view of the current situation of the lack of suitable calculation models for the analysis of production dynamics of fractured horizontal well with CO₂ huff and puff in shale reservoirs，based on the process and mechanism of CO₂ huff and puff, an analytical model for the production dynamics of fractured horizontal well with CO₂ huff and puff in shale reservoirs was proposed, in which took into account the changes in crude oil viscosity and volume caused by the difference in CO₂ concentration at different locations in the formation after soaking and the adsorption and desorption process of CO₂… More >

Haoyu Fu^1,2,3, Hua Liu^1,2, Xiaohu Hu^1,2, Lei Wang^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2285-2309, 2023, DOI:10.32604/cmes.2023.027996 - 03 August 2023

Abstract Well interference has become a common phenomenon with the increasing scale of horizontal well fracturing. Recent studies on well interference in horizontal wells do not properly reflect the physical model of the postfracturing well groups and the realistic fracturing process of infill wells. Establishing the correspondence between well interference causative factors and manifestations is of great significance for infill well deployment and secondary oil recovery. In this work, we develop a numerical model that considers low velocity non-Darcy seepage in shale reservoirs to study the inter-well interference phenomenon that occurs in the Santanghu field, and… More >

Hassan Rabiei¹, Masoud Kaveh², Mohammad Reza Mosavi¹, Diego Martín^3,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4831-4845, 2023, DOI:10.32604/cmc.2023.034981 - 28 December 2022

Abstract With the expanding use of the Internet of Things (IoT) devices and the connection of humans and devices to the Internet, the need to provide security in this field is constantly growing. The conventional cryptographic solutions need the IoT device to store secret keys in its non-volatile memory (NVM) leading the system to be vulnerable to physical attacks. In addition, they are not appropriate for IoT applications due to their complex calculations. Thus, physically unclonable functions (PUFs) have been introduced to simultaneously address these issues. PUFs are lightweight and easy-to-access hardware security primitives which employ… More >

Weizheng Wang^1,2, Xingxing Gong¹, Xiangqi Wang³, Gwang-jun Kim^4,*, Fayez Alqahtani⁵, Amr Tolba⁶

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6605-6622, 2023, DOI:10.32604/cmc.2023.031617 - 28 December 2022

Abstract The advanced integrated circuits have been widely used in various situations including the Internet of Things, wireless communication, etc. But its manufacturing process exists unreliability, so cryptographic chips must be rigorously tested. Due to scan testing provides high test coverage, it is applied to the testing of cryptographic integrated circuits. However, while providing good controllability and observability, it also provides attackers with a backdoor to steal keys. In the text, a novel protection scheme is put forward to resist scan-based attacks, in which we first use the responses generated by a strong physical unclonable function More >

R. Padmavathy^*, M. Newlin Rajkumar

Computer Systems Science and Engineering, Vol.43, No.1, pp. 233-243, 2022, DOI:10.32604/csse.2022.021129 - 23 March 2022

Abstract Internet-of-Things (IoT) is an awaited technology in real-world applications to process daily tasks using intelligent techniques. The main process of data in IoT involves communication, integration, and coordination with other real-world applications. The security of transferred, stored, and processed data in IoT is not ensured in many constraints. Internet-enabled smart devices are widely used among populations for all types of applications, thus increasing the popularity of IoT among widely used server technologies. Smart grid is used in this article with IoT to manage large data. A smart grid is a collection of numerous users in… More >