Chunqian Guo^*, Gang Chen

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.072184 - 12 March 2026

Abstract Despite the ability of the anonymous communication system The Onion Router (Tor) to obscure the content of communications, prior studies have shown that passive adversaries can still infer the websites visited by users through website fingerprinting (WF) attacks. Conventional WF methodologies demonstrate optimal performance in scenarios involving single-tab browsing. Conventional WF methods achieve optimal performance primarily in scenarios involving single-tab browsing. However, in real-world network environments, users often engage in multi-tab browsing, which generates overlapping traffic patterns from different websites. This overlap has been shown to significantly degrade the performance of classifiers that rely on… More >

Thomas Kidu¹, Harini Kethar², Haben Gebrekidan³, Haleem Farman⁴, Ahmed Sedik^4,5, Walid El-Shafai^6,7, Jawad Khan^8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.076798 - 26 February 2026

Abstract Colorectal cancer is the third most diagnosed cancer worldwide, and immune checkpoint inhibitors have shown promising therapeutic outcomes in selected patient groups. This study performed a comprehensive analysis of multi-omics data from The Cancer Genome Atlas colorectal adenocarcinoma cohort (TCGA-COADREAD), accessed through cBioPortal, to develop machine learning models for predicting progression-free survival (PFS) following immunotherapy. The dataset included clinical variables, genomic alterations in Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS), B-Raf Proto-Oncogene (BRAF), and Neuroblastoma RAS Viral Oncogene Homolog (NRAS), microsatellite instability (MSI) status, tumor mutation burden (TMB), and expression of immune checkpoint genes. Kaplan–Meier… More >

Xinli Hao¹, Qingyuan Gong², Yang Chen^1,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073155 - 12 January 2026

Abstract Topological information is very important for understanding different types of online web services, in particular, for online social networks (OSNs). People leverage such information for various applications, such as social relationship modeling, community detection, user profiling, and user behavior prediction. However, the leak of such information will also pose severe challenges for user privacy preserving due to its usefulness in characterizing users. Large-scale web crawling-based information probing is a representative way for obtaining topological information of online web services. In this paper, we explore how to defend against topological information probing for online web services,… More >

Karim Boudjebbour^1,2, Abdelkader Belkhir¹, Hamza Kheddar^2,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071532 - 12 January 2026

Abstract Identifying the community structure of complex networks is crucial to extracting insights and understanding network properties. Although several community detection methods have been proposed, many are unsuitable for social networks due to significant limitations. Specifically, most approaches depend mainly on user–user structural links while overlooking service-centric, semantic, and multi-attribute drivers of community formation, and they also lack flexible filtering mechanisms for large-scale, service-oriented settings. Our proposed approach, called community discovery-based service (CDBS), leverages user profiles and their interactions with consulted web services. The method introduces a novel similarity measure, global similarity interaction profile (GSIP), which… More >

Reza Nadimi^1,*, Maryam Hashemi², Koji Tokimatsu³

Journal on Internet of Things, Vol.7, pp. 49-69, 2025, DOI:10.32604/jiot.2025.070822 - 30 September 2025

Abstract Existing Internet of Things (IoT) systems that rely on Amazon Web Services (AWS) often encounter inefficiencies in data retrieval and high operational costs, especially when using DynamoDB for large-scale sensor data. These limitations hinder the scalability and responsiveness of applications such as remote energy monitoring systems. This research focuses on designing and developing an Arduino-based IoT system aimed at optimizing data transmission costs by concentrating on these services. The proposed method employs AWS Lambda functions with Amazon Relational Database Service (RDS) to facilitate the transmission of data collected from temperature and humidity sensors to the… More >

Luyu Ma^1,*, Xiu Cheng^1,*, Zongyan Xing¹, Yue Wu¹, Weiwei Jiang²

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3921-3943, 2025, DOI:10.32604/cmc.2025.067786 - 23 September 2025

Abstract Green consumption (GC) are crucial for achieving the Sustainable Development Goals (SDGs). However, few studies have explored public attitudes toward GC using social media data, missing potential public concerns captured through big data. To address this gap, this study collects and analyzes public attention toward GC using web crawler technology. Based on the data from Sina Weibo, we applied RoBERTa, an advanced NLP model based on transformer architecture, to conduct fine-grained sentiment analysis of the public’s attention, attitudes and hot topics on GC, demonstrating the potential of deep learning methods in capturing dynamic and contextual… More >

Kevin Santiago Rey Rodriguez, Julián David Avellaneda Galindo, Josep Tárrega Juan, Juan Ramón Bermejo Higuera^*, Javier Bermejo Higuera, Juan Antonio Sicilia Montalvo

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1807-1858, 2025, DOI:10.32604/cmc.2025.067127 - 29 August 2025

Abstract In today’s rapidly evolving digital landscape, web application security has become paramount as organizations face increasingly sophisticated cyber threats. This work presents a comprehensive methodology for implementing robust security measures in modern web applications and the proof of the Methodology applied to Vue.js, Spring Boot, and MySQL architecture. The proposed approach addresses critical security challenges through a multi-layered framework that encompasses essential security dimensions including multi-factor authentication, fine-grained authorization controls, sophisticated session management, data confidentiality and integrity protection, secure logging mechanisms, comprehensive error handling, high availability strategies, advanced input validation, and security headers implementation. Significant… More >

Xuefeng Wang^1,2, Haiqing Cao^1,2, Ke Jiao^3,*, Aoxiang Li^1,2, Zhongwei Li^1,2

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 985-1010, 2025, DOI:10.32604/sdhm.2025.061554 - 30 June 2025

Abstract This study examines the temperature field distribution characteristics and temperature effects during the prefabrication of composite box girders with corrugated steel webs (CBGCSWs), aiming to provide practical recommendations for controlling temperature-induced cracking and technical guidance for concrete mix proportions and placement processes. Based on field measurement data, a three-dimensional finite element model was developed to simulate the temperature effects at critical locations during the prefabrication phase. By varying the concrete mix proportions, initial casting temperature, and ambient temperature, the study elucidates the variation patterns of the temperature field during precast placement. The results show that… More >

Xiongwei Cui, Yunchao Wang, Qiang Wei^*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4939-4959, 2025, DOI:10.32604/cmc.2025.063592 - 19 May 2025

Abstract The development of the Internet of Things (IoT) has brought convenience to people’s lives, but it also introduces significant security risks. Due to the limitations of IoT devices themselves and the challenges of re-hosting technology, existing fuzzing for IoT devices is mainly conducted through black-box methods, which lack effective execution feedback and are blind. Meanwhile, the existing static methods mainly rely on taint analysis, which has high overhead and high false alarm rates. We propose a new directed fuzz testing method for detecting bugs in web service programs of IoT devices, which can test IoT… More >

Zaid Derea^1,2,*, Beiji Zou¹, Xiaoyan Kui^1,*, Monir Abdullah³, Alaa Thobhani¹, Amr Abdussalam⁴

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 115-136, 2025, DOI:10.32604/cmc.2025.062729 - 26 March 2025

Abstract Improving website security to prevent malicious online activities is crucial, and CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) has emerged as a key strategy for distinguishing human users from automated bots. Text-based CAPTCHAs, designed to be easily decipherable by humans yet challenging for machines, are a common form of this verification. However, advancements in deep learning have facilitated the creation of models adept at recognizing these text-based CAPTCHAs with surprising efficiency. In our comprehensive investigation into CAPTCHA recognition, we have tailored the renowned UpDown image captioning model specifically for this… More >