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  • Open Access

    ARTICLE

    KubeFuzzer: Automating RESTful API Vulnerability Detection in Kubernetes

    Tao Zheng1, Rui Tang1,2,3, Xingshu Chen1,2,3,*, Changxiang Shen1

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1595-1612, 2024, DOI:10.32604/cmc.2024.055180 - 15 October 2024

    Abstract RESTful API fuzzing is a promising method for automated vulnerability detection in Kubernetes platforms. Existing tools struggle with generating lengthy, high-semantic request sequences that can pass Kubernetes API gateway checks. To address this, we propose KubeFuzzer, a black-box fuzzing tool designed for Kubernetes RESTful APIs. KubeFuzzer utilizes Natural Language Processing (NLP) to extract and integrate semantic information from API specifications and response messages, guiding the generation of more effective request sequences. Our evaluation of KubeFuzzer on various Kubernetes clusters shows that it improves code coverage by 7.86% to 36.34%, increases the successful response rate by More >

  • Open Access

    ARTICLE

    Modeling the Dynamics of Tuberculosis with Vaccination, Treatment, and Environmental Impact: Fractional Order Modeling

    Muhammad Altaf Khan1,*, Mahmoud H. DarAssi2, Irfan Ahmad3, Noha Mohammad Seyam4, Ebraheem Alzahrani5

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1365-1394, 2024, DOI:10.32604/cmes.2024.053681 - 27 September 2024

    Abstract A mathematical model is designed to investigate Tuberculosis (TB) disease under the vaccination, treatment, and environmental impact with real cases. First, we introduce the model formulation in non-integer order derivative and then, extend the model into fractional order derivative. The fractional system’s existence, uniqueness, and other relevant properties are shown. Then, we study the stability analysis of the equilibrium points. The disease-free equilibrium (DFE) is locally asymptotically stable (LAS) when . Further, we show the global asymptotical stability (GAS) of the endemic equilibrium (EE) for and for . The existence of bifurcation analysis in the More >

  • Open Access

    ARTICLE

    Abnormal Action Detection Based on Parameter-Efficient Transfer Learning in Laboratory Scenarios

    Changyu Liu1, Hao Huang1, Guogang Huang2,*, Chunyin Wu1, Yingqi Liang3

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4219-4242, 2024, DOI:10.32604/cmc.2024.053625 - 12 September 2024

    Abstract Laboratory safety is a critical area of broad societal concern, particularly in the detection of abnormal actions. To enhance the efficiency and accuracy of detecting such actions, this paper introduces a novel method called TubeRAPT (Tubelet Transformer based on Adapter and Prefix Training Module). This method primarily comprises three key components: the TubeR network, an adaptive clustering attention mechanism, and a prefix training module. These components work in synergy to address the challenge of knowledge preservation in models pre-trained on large datasets while maintaining training efficiency. The TubeR network serves as the backbone for spatio-temporal… More >

  • Open Access

    REVIEW

    Valorization of Tree Bark-Derived Suberin in Applications for the Bio-Based Composites Industry–A Recent Review

    Aleksandra Jeżo*

    Journal of Renewable Materials, Vol.12, No.6, pp. 1029-1042, 2024, DOI:10.32604/jrm.2024.051330 - 02 August 2024

    Abstract Bark extracts are sustainable sources of biopolymers and hold great promise for replacing fossil fuel-based polymers, for example, in wood-based composites. In addition to primary and secondary metabolites, tree bark also contains suberin, which plays a major role in protecting the tree from environmental conditions. Suberin is a natural aliphatic-aromatic cross-linked polyester present in the cell walls of both normal and damaged external tissues, the main component of which are long-chain aliphatic acids. Its main role as a plant ingredient is to protect against microbiological factors and water loss. One of the most important suberin More >

  • Open Access

    ARTICLE

    Tuberculosis Diagnosis and Visualization with a Large Vietnamese X-Ray Image Dataset

    Nguyen Trong Vinh1, Lam Thanh Hien1, Ha Manh Toan2, Ngo Duc Vinh3, Do Nang Toan2,*

    Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 281-299, 2024, DOI:10.32604/iasc.2024.045297 - 21 May 2024

    Abstract Tuberculosis is a dangerous disease to human life, and we need a lot of attempts to stop and reverse it. Significantly, in the COVID-19 pandemic, access to medical services for tuberculosis has become very difficult. The late detection of tuberculosis could lead to danger to patient health, even death. Vietnam is one of the countries heavily affected by the COVID-19 pandemic, and many residential areas as well as hospitals have to be isolated for a long time. Reality demands a fast and effective tuberculosis diagnosis solution to deal with the difficulty of accessing medical services,… More >

  • Open Access

    ARTICLE

    Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

    Nasser Alshammari1, Shumaila Shahzadi2, Saad Awadh Alanazi1,*, Shahid Naseem3, Muhammad Anwar3, Madallah Alruwaili4, Muhammad Rizwan Abid5, Omar Alruwaili4, Ahmed Alsayat1, Fahad Ahmad6,7

    Computer Systems Science and Engineering, Vol.48, No.2, pp. 363-394, 2024, DOI:10.32604/csse.2023.040721 - 19 March 2024

    Abstract Software Defined Network (SDN) and Network Function Virtualization (NFV) technology promote several benefits to network operators, including reduced maintenance costs, increased network operational performance, simplified network lifecycle, and policies management. Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration (NFV MANO), and malicious attacks in different scenarios disrupt the NFV Orchestrator (NFVO) and Virtualized Infrastructure Manager (VIM) lifecycle management related to network services or individual Virtualized Network Function (VNF). This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and… More >

  • Open Access

    ARTICLE

    Widely Untargeted Metabolome Profiling Provides Insight into Browning and Nutritional Quality Changes in Short-Term Stored Fresh-Cut Potato (Solanum tuberosum L.) Shreds

    Liping Hong, Enming He, Wenhui Zhang, Mingqiong Zheng, Jingwen Wu, Wenhua Wang*

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2785-2805, 2023, DOI:10.32604/phyton.2023.030928 - 15 September 2023

    Abstract Potato (Solanum tuberosum L.) is susceptible to enzymatic browning after fresh processing, resulting in color change and potential alteration in the nutritional quality. In this study, a popular potato cultivar, Feiwuruita, was used to profile the metabolites involved in color and nutritional quality changes in fresh shreds stored at 0 and 4 h at 25°C (designated CK and CK4H, respectively). The shreds turned brown within 4 h of storage. In all, 723 metabolites consisting 12 classes of compounds were detected in the samples, largely lipids, phenolic acids, alkaloids, amino acids and derivatives, flavonoids, organic acids, nucleotides More >

  • Open Access

    ARTICLE

    Biological Analysis and Response to Low Phosphate Stress of Phosphate Transporter Family 1 (PHT1)) Genes in Solanum tuberosum L.

    Yangyang Du1, Yuanyuan Bao2, Lu Zheng1, Qinglong Tian1, Xinyong Zhang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2325-2348, 2023, DOI:10.32604/phyton.2023.027642 - 25 June 2023

    Abstract Inorganic phosphate (Pi) is one of the main nutrients necessary for plant growth. Phosphate transporters mediate the acquisition, transport and recycling of phosphate, which is essential for plant growth and development. Although PHT1 has been reported in many plants at home and abroad, it is rarely studied in potato. Therefore, it is of great significance to study the PHT1 family members in order to understand the molecular response mechanism of potato in low phosphate state. In this study, a total of 6 potato PHT1 genes were identified and isolated. It was found that after the expression of… More >

  • Open Access

    ARTICLE

    Container Instrumentation and Enforcement System for Runtime Security of Kubernetes Platform with eBPF

    Songi Gwak, Thien-Phuc Doan, Souhwan Jung*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1773-1786, 2023, DOI:10.32604/iasc.2023.039565 - 21 June 2023

    Abstract Containerization is a fundamental component of modern cloud-native infrastructure, and Kubernetes is a prominent platform of container orchestration systems. However, containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers, which can lead to container breakout or privilege escalation. Kubernetes cannot avoid it as well. While various tools, such as container image scanning and configuration checking, can mitigate container workload vulnerabilities, these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in runtime. As such, a policy enforcement solution is required to tackle the problem,… More >

  • Open Access

    ARTICLE

    Identification of Tuberculosis and Coronavirus Patients Using Hybrid Deep Learning Models

    Mohammed A. Al Ghamdi*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 881-894, 2023, DOI:10.32604/cmc.2023.037826 - 08 June 2023

    Abstract Considerable resources, technology, and efforts are being utilized worldwide to eradicate the coronavirus. Although certain measures taken to prevent the further spread of the disease have been successful, efforts to completely wipe out the coronavirus have been insufficient. Coronavirus patients have symptoms similar to those of chest Tuberculosis (TB) or pneumonia patients. Chest tuberculosis and coronavirus are similar because both diseases affect the lungs, cause coughing and produce an irregular respiratory system. Both diseases can be confirmed through X-ray imaging. It is a difficult task to diagnose COVID-19, as coronavirus testing kits are neither excessively… More >

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