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  • Open Access

    ARTICLE

    Constructing Collective Signature Schemes Using Problem of Finding Roots Modulo

    Tuan Nguyen Kim1,*, Duy Ho Ngoc2, Nikolay A. Moldovyan3

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1105-1122, 2022, DOI:10.32604/cmc.2022.025653 - 24 February 2022

    Abstract Digital signature schemes are often built based on the difficulty of the discrete logarithm problems, of the problem of factor analysis, of the problem of finding the roots modulo of large primes or a combination of the difficult problems mentioned above. In this paper, we use the new difficult problem, which is to find the root in the finite ground field to build representative collective signature schemes, but the chosen modulo p has a special structure distinct , where is an even number and are prime numbers of equal magnitude, about . The characteristics of the More >

  • Open Access

    ARTICLE

    SBOOSP for Massive Devices in 5G WSNs Using Conformable Chaotic Maps

    Chandrashekhar Meshram1,*, Agbotiname Lucky Imoize2,3, Sajjad Shaukat Jamal4, Amer Aljaedi5, Adel R. Alharbi5

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4591-4608, 2022, DOI:10.32604/cmc.2022.022642 - 14 January 2022

    Abstract The commercialization of the fifth-generation (5G) wireless network has begun. Massive devices are being integrated into 5G-enabled wireless sensor networks (5G WSNs) to deliver a variety of valuable services to network users. However, there are rising fears that 5G WSNs will expose sensitive user data to new security vulnerabilities. For secure end-to-end communication, key agreement and user authentication have been proposed. However, when billions of massive devices are networked to collect and analyze complex user data, more stringent security approaches are required. Data integrity, non-repudiation, and authentication necessitate special-purpose subtree-based signature mechanisms that are pretty… More >

  • Open Access

    ARTICLE

    A novel prognostic target-gene signature and nomogram based on an integrated bioinformatics analysis in hepatocellular carcinoma

    RUI XU1, QIBIAO WU1, YUHAN GONG2, YONGZHE WU1, QINGJIA CHI1,*, DA SUN3,*

    BIOCELL, Vol.46, No.5, pp. 1261-1288, 2022, DOI:10.32604/biocell.2022.018427 - 06 January 2022

    Abstract There is currently no effective solution to the problem of poor prognosis and recurrence of HCC. The technology of immunotherapy and prognosis of genetic material has made continuous progress in recent years. In the study, a 5-gene signature was established for the prognosis of HCC through biological information, and the immune infiltration of HCC patients was studied. After studied HCC patients’ immune infiltration, the paper screened the differential target genes of miR-126-3p in HCC downloaded from TCGA database, and uses WGCNA method to select the modular genes highly relevant to M2 macrophage. Then we use… More >

  • Open Access

    ARTICLE

    Identification of a 10-pseudogenes signature as a novel prognosis biomarker for ovarian cancer

    YONGHUI YU1,#, SONGHUI XU2,#, ERYONG ZHAO3,#, YONGSHUN DONG1, JINBIN CHEN1, BOQI RAO1, JIE ZENG4, LEI YANG1, JIACHUN LU1, FUMAN QIU1,4,*

    BIOCELL, Vol.46, No.4, pp. 999-1011, 2022, DOI:10.32604/biocell.2022.017004 - 15 December 2021

    Abstract The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage. Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted. The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator (LASSO) method. A risk score model based on the prognostic pseudogenes was also constructed. The pseudogene-mRNA regulatory networks were established using correlation analysis, and their potent roles in the ovarian cancer progression were uncovered by… More >

  • Open Access

    REVIEW

    Human Stress Recognition from Facial Thermal-Based Signature: A Literature Survey

    Darshan Babu L. Arasu1, Ahmad Sufril Azlan Mohamed1,*, Nur Intan Raihana Ruhaiyem1, Nagaletchimee Annamalai2, Syaheerah Lebai Lutfi1, Mustafa M. Al Qudah1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 633-652, 2022, DOI:10.32604/cmes.2021.016985 - 13 December 2021

    Abstract Stress is a normal reaction of the human organism which triggered in situations that require a certain level of activation. This reaction has both positive and negative effects on everyone’s life. Therefore, stress management is of vital importance in maintaining the psychological balance of a person. Thermal-based imaging technique is becoming popular among researchers due to its non-contact conductive nature. Moreover, thermal-based imaging has shown promising results in detecting stress in a non-contact and non-invasive manner. Compared to other non-contact stress detection methods such as pupil dilation, keystroke behavior, social media interaction and voice modulation, More >

  • Open Access

    REVIEW

    Identification of a three-gene signature in the triple-negative breast cancer

    LIPING WANG1,2, ZHOU LUO1, MINMIN SUN3, QIUYUE YUAN4, YINGGANG ZOU5, DEYUAN FU1,*

    BIOCELL, Vol.46, No.3, pp. 595-606, 2022, DOI:10.32604/biocell.2022.017337 - 18 November 2021

    Abstract This work aimed to improve current prognostic signatures based on clinical stages in identifying high-risk patients of triple-negative breast cancer (TNBC), to allow patients with a high-risk score for specific treatment decisions. In this study, 396 TNBC samples from TCGA and GEO databases were included in genome-wide transcriptome analysis. The relationship between normalized gene expression values and survival data of patients was determined by Cox proportional hazards models in each dataset. The overlapped genes among all datasets were considered as a potential prognostic signature. The risk score was constructed based on individual genes and validated… More >

  • Open Access

    ARTICLE

    A Novel Post-Quantum Blind Signature for Log System in Blockchain

    Gang Xu1,2, Yibo Cao1, Shiyuan Xu1, Ke Xiao1, Xin Liu3, Xiubo Chen4,*, Mianxiong Dong5

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 945-958, 2022, DOI:10.32604/csse.2022.022100 - 10 November 2021

    Abstract In recent decades, log system management has been widely studied for data security management. System abnormalities or illegal operations can be found in time by analyzing the log and provide evidence for intrusions. In order to ensure the integrity of the log in the current system, many researchers have designed it based on blockchain. However, the emerging blockchain is facing significant security challenges with the increment of quantum computers. An attacker equipped with a quantum computer can extract the user's private key from the public key to generate a forged signature, destroy the structure of… More >

  • Open Access

    ARTICLE

    WGCNA and LASSO algorithm constructed an immune infiltration-related 5-gene signature and nomogram to improve prognosis prediction of hepatocellular carcinoma

    MENG FANG1, JING GUO1, HAIPING WANG1, ZICHANG YANG2, HAN ZHAO1,*, QINGJIA CHI2

    BIOCELL, Vol.46, No.2, pp. 401-415, 2022, DOI:10.32604/biocell.2022.016989 - 20 October 2021

    Abstract Hepatocellular carcinoma (HCC) is a common immunogenic malignant tumor. Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC, the 5-year survival rate of patients is still very low. The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies. We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes. Weighted gene co-expression network analysis (WGCNA), univariate and multivariate COX regression and the LASSO COX algorithm are employed… More >

  • Open Access

    ARTICLE

    Revisiting miR-155 in intervertebral disc degeneration: blood cell signature and local cell-free profiles

    ZHIHENG LIU1,2, ZHEN SUN3, ZHONGYUAN WAN4, HAIQIANG WANG2,*

    BIOCELL, Vol.46, No.2, pp. 511-517, 2022, DOI:10.32604/biocell.2021.016194 - 20 October 2021

    Abstract We unraveled the expression profiles of coding-noncoding RNAs in intervertebral disc degeneration (IDD). However, it remains elusive regarding miR-155 expression in peripheral blood mononuclear cells (PBMCs) and local extracellular space in IDD. The study aimed for investigating the miR-155 expression of PBMCs, extracellular miRNAs (ex-miRNAs) of human nucleus pulposus (NP) tissues, and morphological changes of cell death in the IDD process. Here, we harvested peripheral blood and NP samples from scoliosis and IDD patients as control and degenerative groups, respectively. Then standard Ficoll density-gradient centrifugation was used to isolate PBMCs. The two subpopulations of PBMCs… More >

  • Open Access

    ARTICLE

    TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

    K. Ambika1,*, M. Balasingh Moses2

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1809-1823, 2022, DOI:10.32604/iasc.2022.018580 - 09 October 2021

    Abstract In addition to replacing desktop-based methods, cloud computing is playing a significant role in several areas of data management. The health care industry, where so much data is needed to be handled correctly, is another arena in which artificial intelligence has a big role to play. The upshot of this innovation led to the creation of multiple healthcare clouds. The challenge of data privacy and confidentiality is the same for different clouds. Many existing works has provided security framework to ensure the security of data in clouds but still the drawback on revocation, resisting collusion… More >

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