Chia-Hui Liu^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-18, 2026, DOI:10.32604/cmc.2025.072887 - 09 December 2025

Abstract The Industrial Internet of Things (IIoT) has emerged as a cornerstone of Industry 4.0, enabling large-scale automation and data-driven decision-making across factories, supply chains, and critical infrastructures. However, the massive interconnection of resource-constrained devices also amplifies the risks of eavesdropping, data tampering, and device impersonation. While digital signatures are indispensable for ensuring authenticity and non-repudiation, conventional schemes such as RSA and ECC are vulnerable to quantum algorithms, jeopardizing long-term trust in IIoT deployments. This study proposes a lightweight, stateless, hash-based signature scheme that achieves post-quantum security while addressing the stringent efficiency demands of IIoT. The… More >

Haibo Lei^1,2, Xu An Wang^1,*, Wenhao Liu¹, Lingling Wu¹, Chao Zhang¹, Weiwei Jiang³, Xiao Zou⁴

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-31, 2026, DOI:10.32604/cmc.2025.070030 - 09 December 2025

Abstract With the rapid expansion of the Internet of Things (IoT), user data has experienced exponential growth, leading to increasing concerns about the security and integrity of data stored in the cloud. Traditional schemes relying on untrusted third-party auditors suffer from both security and efficiency issues, while existing decentralized blockchain-based auditing solutions still face shortcomings in correctness and security. This paper proposes an improved blockchain-based cloud auditing scheme, with the following core contributions: Identifying critical logical contradictions in the original scheme, thereby establishing the foundation for the correctness of cloud auditing; Designing an enhanced mechanism that… More >

Amber Hassan¹, Badr Hafiz², Taghreed Alsinani³, Rakan Bokhari⁴, Dahlia Mirdad⁵, Awab Tayyib⁵, Alaa Alkhotani⁶, Ahmad Fallata⁷, Iman Mirza⁸, Eyad Faizo^9,10, Saleh Baeesa², Huda Alghefari¹¹, Maher Kurdi^11,*

Oncology Research, Vol.33, No.11, pp. 3293-3325, 2025, DOI:10.32604/or.2025.070031 - 22 October 2025

Abstract Background: Glioblastoma (GBM) remains the most aggressive primary brain tumour in adults, marked by pronounced cellular heterogeneity, diffuse infiltration, and resistance to conventional treatment. In recent years, transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma. This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM, focusing on gene signatures associated with stemness, immune modulation, extracellular matrix remodelling, metabolic adaptation, and therapeutic resistance. Methods: We conducted a systematic search of PubMed, The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the GlioVis… More >

Jun Li¹, Kangmin Yu¹, Zhiyong Chen¹, Dan Xing², Binshan Zha¹, Wentao Xie¹, Huan Ouyang¹, Changjun Yu^3,*

Oncology Research, Vol.33, No.11, pp. 3469-3492, 2025, DOI:10.32604/or.2025.066193 - 22 October 2025

Abstract Objectives: Colorectal cancer (CRC) remains a major contributor to global cancer mortality, ranking second worldwide for cancer-related deaths in 2022, and is characterized by marked heterogeneity in prognosis and therapeutic response. We sought to construct a machine-learning prognostic model based on a complement-related risk signature (CRRS) and to situate this signature within the CRC immune microenvironment. Methods: Transcriptomic profiles with matched clinical annotations from TCGA and GEO CRC cohorts were analyzed. Prognostic CRRS genes were screened using Cox proportional hazards modeling alongside machine-learning procedures. A random survival forest (RSF) predictor was trained and externally validated.… More >

Yi Jin¹, Zexing Shan², Fan Yang¹, Xinwen Fan¹, Jie Lin³, Zeqing Huang^1,*, Xudong Zhu^3,4,*

Oncology Research, Vol.33, No.10, pp. 2937-2960, 2025, DOI:10.32604/or.2025.062250 - 26 September 2025

Abstract Background: As a major histopathological subtype of gastric cancer (GC), stomach adenocarcinoma (STAD) is an important malignant tumor in the digestive system. Increasing evidence also indicates that endoplasmic reticulum (ER) stress plays a pivotal role in the pathogenesis and progression of GC. Therefore, this study aims to screen and identify vital ER stress-related genes that could contribute to the malignant development and poor prognosis for STAD. Methods: A novel ER stress-related risk score signature was developed employing machine learning techniques. Then, a prognostic prediction nomogram was also built based on the clinicopathological characteristics and the… More > Graphic Abstract

Radhika Kumari¹, Kiranbir Kaur¹, Ahmad Almogren², Ayman Altameem³, Salil Bharany^4,*, Yazeed Yasin Ghadi⁵, Ateeq Ur Rehman^6,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5509-5525, 2025, DOI:10.32604/cmc.2025.064247 - 30 July 2025

Abstract The exponential growth of the Internet of Things (IoT) has revolutionized various domains such as healthcare, smart cities, and agriculture, generating vast volumes of data that require secure processing and storage in cloud environments. However, reliance on cloud infrastructure raises critical security challenges, particularly regarding data integrity. While existing cryptographic methods provide robust integrity verification, they impose significant computational and energy overheads on resource-constrained IoT devices, limiting their applicability in large-scale, real-time scenarios. To address these challenges, we propose the Cognitive-Based Integrity Verification Model (C-BIVM), which leverages Belief-Desire-Intention (BDI) cognitive intelligence and algebraic signatures to… More >

Zhun Yu^1,2, Jie Wang^1,2, Guoping Xu^1,2,*

Oncology Research, Vol.33, No.8, pp. 2013-2035, 2025, DOI:10.32604/or.2025.061757 - 18 July 2025

Abstract Objectives: Triple-negative breast cancer (TNBC) presents a major treatment challenge due to its aggressive behavior. The dysfunction of the Golgi apparatus (GA) contributes to the development of various cancers. This study aimed to utilize GA-related genes (GARGs) to forecast the prognosis and immune profile of TNBC. Methods: The data were downloaded from The Cancer Genome Atlas (TCGA) database, including 175 TNBC and 99 healthy samples. The differentially expressed GARGs (DEGARGs) were analyzed using the TCGA biolinks package. The patients with TNBC were classified into two clusters utilizing the ConsensusClusterPlus package according to prognosis-related DEGARGs, followed by… More >

LINGJIE XU¹, YIQIN XIA¹, QIN QIN¹, GUIQUN WANG¹, KAI TAO², WEI WEI^1,*

Oncology Research, Vol.33, No.7, pp. 1649-1666, 2025, DOI:10.32604/or.2025.056176 - 26 June 2025

Abstract Background: The centrosome, a crucial cellular structure involved in the mitotic process of eukaryotic cells, plays a significant role in tumor progression by regulating the growth and differentiation of neoplastic cells. This makes the centrosome a promising target for therapeutic strategies in cancer treatment. Methods: Utilizing data from the TCGA database, we identified centrosome-related genes and constructed a prognostic model for 518 lung adenocarcinoma patients. Prognosis-associated genes were initially screened using univariate Cox regression, with overfitting minimized by applying LASSO regression to remove collinearity. Finally, a set of 12 genes was selected through multivariable Cox… More >

Yogendra P. S. Maravi^*, Nishchol Mishra

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5517-5537, 2025, DOI:10.32604/cmc.2025.063964 - 19 May 2025

Abstract The growing demand for international travel has highlighted the critical need for reliable tools to verify travelers’ healthcare status and meet entry requirements. Personal health passports, while essential, face significant challenges related to data silos, privacy protection, and forgery risks in global sharing. To address these issues, this study proposes a blockchain-based solution designed for the secure storage, sharing, and verification of personal health passports. This innovative approach combines on-chain and off-chain storage, leveraging searchable encryption to enhance data security and optimize blockchain storage efficiency. By reducing the storage burden on the blockchain, the system… More >

Xin Xu^1,*, Zhen Yang², Yongfeng Huang¹

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5019-5035, 2025, DOI:10.32604/cmc.2025.061046 - 19 May 2025

Abstract Attribute-Based Signature (ABS) is a powerful cryptographic primitive that enables fine-grained access control in distributed systems. However, its high computational cost makes it unsuitable for resource-constrained environments, and traditional monotonic access structures are inadequate for handling increasingly complex access policies. In this paper, we propose a novel smart contract-assisted ABS (SC-ABS) algorithm that supports non-monotonic access structures, aiming to reduce client computing overhead while providing more expressive and flexible access control. The SC-ABS scheme extends the monotonic access structure by introducing the concept of negative attributes, allowing for more complex and dynamic access policies. By… More >