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  • Open Access

    ARTICLE

    Hyperchaos and MD5 Based Efficient Color Image Cipher

    Muhammad Samiullah1, Waqar Aslam1, Saima Sadiq2, Arif Mehmood1, Gyu Sang Choi3,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1645-1670, 2022, DOI:10.32604/cmc.2022.021019

    Abstract While designing and developing encryption algorithms for text and images, the main focus has remained on security. This has led to insufficient attention on the improvement of encryption efficiency, enhancement of hyperchaotic sequence randomness, and dynamic DNA-based S-box. In this regard, a new symmetric block cipher scheme has been proposed. It uses dynamic DNA-based S-box connected with MD5 and a hyperchaotic system to produce confusion and diffusion for encrypting color images. Our proposed scheme supports various size color images. It generates three DNA based S-boxes for substitution namely DNA_1_s-box, DNA_2_s-box and DNA_3_s-box, each of size . Next, the 4D hyperchaotic… More >

  • Open Access

    ARTICLE

    Genetic Algorithm Energy Optimization in 3D WSNs with Different Node Distributions

    Yousef Jaradat*, Mohammad Masoud, Ismael Jannoud, Dema Zeidan

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 791-808, 2022, DOI:10.32604/iasc.2022.024218

    Abstract Optimal node clustering in wireless sensor networks (WSNs) is a major issue in reducing energy consumption and extending network node life time and reliability measures. Many techniques for optimizing the node clustering process in WSN have been proposed in the literature. The metaheuristic algorithms are a subset of these techniques. Genetic algorithm (GA) is an evolutionary metaheuristic technique utilized to improve the network reliability and extending the network life time by optimizing the clustering process in the network. The GA dynamic clustering (GA-DC) algorithm is proposed in this paper to extend the network reliability and node life time of three… More >

  • Open Access

    ARTICLE

    A Novel Medical Image Encryption Using Rössler System

    K. Sundara Krishnan1,*, Syed Suhaila1, S. P. Raja2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1081-1101, 2022, DOI:10.32604/iasc.2022.024023

    Abstract The technological advances made possible by the Internet, coupled with the unforeseen critical circumstances set in motion by the Covid-19 pandemic, have greatly increased the generation and transmission of medical images every day. Medical image transmission over an unsecured public network threatens the privacy of sensitive patient information. We have, in this paper, designed a new secure color medical image encryption algorithm based on binary plane decomposition, DNA (deoxyribonucleic acid) computing, and the chaotic Rössler dynamical system. At first, a bit-by-bit swap is performed on twenty four binary planes of the input image and encoded using DNA encoding rules. Thereafter,… More >

  • Open Access

    ARTICLE

    Construction of Key-dependent S-box for Secure Cloud Storage

    A. Indumathi*, G. Sumathi

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1509-1524, 2022, DOI:10.32604/iasc.2022.022743

    Abstract As cloud storage systems have developed and been applied in complex environments, their data security has become more prevalent in recent years. The issue has been approached through many models. Data is encrypted and stored in these models. One of the most widely used encryption methods is the Advanced Encryption Standard (AES). In AES, the Substitution box(S-box) is playing a significant part in imparting the job of confusion. The security of the entire cryptosystem depends on its nonlinearity. In this work, a robust and secure S-box is constructed using a novel method, i.e., fingerprint features-based permutation function. Two stages are… More >

  • Open Access

    ARTICLE

    Multi-Objective Adapted Binary Bat for Test Suite Reduction

    Nagwa Reda1, Abeer Hamdy2,*, Essam A. Rashed1,3

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 781-797, 2022, DOI:10.32604/iasc.2022.019669

    Abstract Regression testing is an essential quality test technique during the maintenance phase of the software. It is executed to ensure the validity of the software after any modification. As software evolves, the test suite expands and may become too large to be executed entirely within a limited testing budget and/or time. So, to reduce the cost of regression testing, it is mandatory to reduce the size of the test suite by discarding the redundant test cases and selecting the most representative ones that do not compromise the effectiveness of the test suite in terms of some predefined criteria such as… More >

  • Open Access

    ARTICLE

    Whole Exome Sequencing Identifies A Novel Pathogenic Bmpr2 Variant in Pulmonary Atresia

    Muyu Qi1,#, Xiaoping Lan2,#, Jia Li1, Junwen Ge1, Li Shen1,*, Rufang Zhang1,*

    Congenital Heart Disease, Vol.16, No.5, pp. 487-498, 2021, DOI:10.32604/CHD.2021.015887

    Abstract Objective: Pulmonary atresia (PA) is a rare type of complex cyanotic congenital heart defect characterized primarily by an undeveloped pulmonary valve or pulmonary artery. Therefore, defining a disease-causing gene mutation in a pulmonary atresia family is a possible method of genetic counseling, future prenatal diagnosis, and therapeutic approaches for pulmonary atresia. Methods: Blood samples were collected from six PA family members, and genomic DNA was extracted using the QIAamp DNA Blood Mini Kit. Gene detection was performed using a second-generation sequencing gene panel. Results: Genetic testing results indicated that a heterozygous mutation originating from maternal inheritance was detected in the… More >

  • Open Access

    ARTICLE

    AACR 2019 — Congrès de l’association américaine de recherche contre le cancer
    AACR 2019 — American Association for Cancer Research

    T. Pudlarz, N. Naoun, G. Beinse, D. Grazziotin-Soares, J.-P. Lot

    Oncologie, Vol.21, No.1, pp. 53-68, 2019, DOI:10.3166/onco-2019-0036

    Abstract In this special issue of Oncology, we have summarized the most relevant topics that were presented at the American Association for Cancer Research (AACR) meeting. Our purpose here is to give the readers a concise report of the presentations that warrant particular attention. This year 2019 in Atlanta, the AACR Annual Meeting program covered the latest discoveries across the spectrum of cancer research — from population science and prevention; to cancer biology, translational, and clinical studies; to survivorship and advocacy — and highlights the work of the best minds in research and medicine from institutions all over the world. It… More >

  • Open Access

    ARTICLE

    Mutations du gène ESR1 : du fondamental à la clinique
    ESR1 Mutations: From Benchside to Bedside

    V. Massard, A. Harlé, L. Uwer, J.-L. Merlin

    Oncologie, Vol.21, No.1, pp. 29-32, 2019, DOI:10.3166/onco-2019-0027

    Abstract Acquired endocrine resistance remains one of the main obstacles in the treatment of estrogen receptor (ER) positive, HER2 negative advanced breast cancer. Recently, activating ESR1 gene mutations affecting the ligand-binding domain have been identified as a key mechanism in aromatase inhibitor (AI) resistance. These mutations can be detected on histological samples or circulating tumour DNA, using PCRbased assays or next-generation sequencing. They induce a constitutive activation of ER, leading to acquired resistance to AI; tamoxifen, fulvestrant and targeted therapies against mTOR or CDK4/6 retain their efficacy. The use of monitoring ESR1 mutations in clinical practice is still to be defined.… More >

  • Open Access

    ARTICLE

    Applying and Comparison of Chaotic-Based Permutation Algorithms for Audio Encryption

    Osama M. Abu Zaid1,*, Medhat A. Tawfeek2,3, Saad Alanazi2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3161-3176, 2021, DOI:10.32604/cmc.2021.015175

    Abstract This research presents, and clarifies the application of two permutation algorithms, based on chaotic map systems, and applied to a file of speech signals. They are the Arnold cat map-based permutation algorithm, and the Baker’s chaotic map-based permutation algorithm. Both algorithms are implemented on the same speech signal sample. Then, both the premier and the encrypted file histograms are documented and plotted. The speech signal amplitude values with time signals of the original file are recorded and plotted against the encrypted and decrypted files. Furthermore, the original file is plotted against the encrypted file, using the spectrogram frequencies of speech… More >

  • Open Access

    ARTICLE

    Identifying Driver Genes Mutations with Clinical Significance in Thyroid Cancer

    Hyeong Won Yu1, Muhammad Afzal2, Maqbool Hussain2, Hyungju Kwon3, Young Joo Park4, June Young Choi1,*, Kyu Eun Lee5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1241-1251, 2021, DOI:10.32604/cmc.2021.014910

    Abstract Advances in technology are enabling gene mutations in papillary thyroid carcinoma (PTC) to be analyzed and clinical outcomes, such as recurrence, to be predicted. To date, the most common genetic mutation in PTC is in BRAF kinase (BRAF). However, whether mutations in other genes coincide with those in BRAF remains to be clarified. The aim of this study was to find mutations in other genes that co-exist with mutated BRAF, and to analyze their frequency and clinical relevance in PTC. Clinical and genetic data were collected from 213 PTC patients with a total of 36,572 mutation sites in 735 genes.… More >

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