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  • Open Access

    ARTICLE

    Blockzone: A Decentralized and Trustworthy Data Plane for DNS

    Ning Hu1, Shi Yin1, Shen Su1, *, Xudong Jia1, Qiao Xiang2, Hao Liu3

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1531-1557, 2020, DOI:10.32604/cmc.2020.010949

    Abstract The domain name system (DNS) provides a mapping service between memorable names and numerical internet protocol addresses, and it is a critical infrastructure of the Internet. The authenticity of DNS resolution results is crucial for ensuring the accessibility of Internet services. Hundreds of supplementary specifications of protocols have been proposed to compensate for the security flaws of DNS. However, DNS security incidents still occur frequently. Although DNS is a distributed system, for a specified domain name, only authorized authoritative servers can resolve it. Other servers must obtain the resolution result through a recursive or iterative resolving procedure, which renders DNS… More >

  • Open Access

    ARTICLE

    A Two-Dimension Time-Domain Comparator for Low Power SAR ADCs

    Liangbo Xie1, *, Sheng Li1, Yan Ren1, Zhengwen Huang2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1519-1529, 2020, DOI:10.32604/cmc.2020.011701

    Abstract This paper presents a two-dimension time-domain comparator suitable for low power successive-approximation register (SAR) analog-to-digital converters (ADCs). The proposed two-dimension time-domain comparator consists of a ring oscillator collapsebased comparator and a counter. The propagation delay of a voltage controlled ring oscillator depends on the input. Thus, the comparator can automatically change the comparison time according to its input difference, which can adjust the power consumption of the comparator dynamically without any control logic. And a counter is utilized to count the cycle needed to finish a comparison when the input difference is small. Thus, the proposed comparator can not only… More >

  • Open Access

    ARTICLE

    Quantum Electronic Contract Scheme Based on Single Photon

    Tian Cao1, Yan Chang1, *, Lili Yan1, Shibin Zhang1, Qirun Wang2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1507-1517, 2020, DOI:10.32604/cmc.2020.010213

    Abstract An electronic contract is a contract signed by electronic means, which is widely used in electronic commerce activities. In recent years, with the rapid development of quantum cryptography technology, the quantum electronic contract has been widely studied by researchers. Supported by the basic principles of quantum mechanics, a quantum electronic contract scheme based on the single photon is proposed in this paper. In this scheme, two copies of the same contract are signed by both parties involved, and then a copy of each contract is sent to a trusted third party. The trusted third party verifies the signatures of both… More >

  • Open Access

    ARTICLE

    A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning

    Azka Amin1, Xihua Liu2, Imran Khan3, Peerapong Uthansakul4, *, Masoud Forsat5, Seyed Sajad Mirjavadi5

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1487-1505, 2020, DOI:10.32604/cmc.2020.011749

    Abstract One of the most effective technology for the 5G mobile communications is Device-to-device (D2D) communication which is also called terminal pass-through technology. It can directly communicate between devices under the control of a base station and does not require a base station to forward it. The advantages of applying D2D communication technology to cellular networks are: It can increase the communication system capacity, improve the system spectrum efficiency, increase the data transmission rate, and reduce the base station load. Aiming at the problem of co-channel interference between the D2D and cellular users, this paper proposes an efficient algorithm for resource… More >

  • Open Access

    ARTICLE

    Software Defect Prediction Based on Non-Linear Manifold Learning and Hybrid Deep Learning Techniques

    Kun Zhu1, Nana Zhang1, Qing Zhang2, Shi Ying1, *, Xu Wang3

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1467-1486, 2020, DOI:10.32604/cmc.2020.011415

    Abstract Software defect prediction plays a very important role in software quality assurance, which aims to inspect as many potentially defect-prone software modules as possible. However, the performance of the prediction model is susceptible to high dimensionality of the dataset that contains irrelevant and redundant features. In addition, software metrics for software defect prediction are almost entirely traditional features compared to the deep semantic feature representation from deep learning techniques. To address these two issues, we propose the following two solutions in this paper: (1) We leverage a novel non-linear manifold learning method - SOINN Landmark Isomap (SLIsomap) to extract the… More >

  • Open Access

    ARTICLE

    Picture-Induced EEG Signal Classification Based on CVC Emotion Recognition System

    Huiping Jiang1, *, Zequn Wang1, Rui Jiao1, Shan Jiang2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1453-1465, 2020, DOI:10.32604/cmc.2020.011793

    Abstract Emotion recognition systems are helpful in human–machine interactions and Intelligence Medical applications. Electroencephalogram (EEG) is closely related to the central nervous system activity of the brain. Compared with other signals, EEG is more closely associated with the emotional activity. It is essential to study emotion recognition based on EEG information. In the research of emotion recognition based on EEG, it is a common problem that the results of individual emotion classification vary greatly under the same scheme of emotion recognition, which affects the engineering application of emotion recognition. In order to improve the overall emotion recognition rate of the emotion… More >

  • Open Access

    ARTICLE

    Adversarial Attacks on License Plate Recognition Systems

    Zhaoquan Gu1, Yu Su1, Chenwei Liu1, Yinyu Lyu1, Yunxiang Jian1, Hao Li2, Zhen Cao3, Le Wang1, *

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1437-1452, 2020, DOI:10.32604/cmc.2020.011834

    Abstract The license plate recognition system (LPRS) has been widely adopted in daily life due to its efficiency and high accuracy. Deep neural networks are commonly used in the LPRS to improve the recognition accuracy. However, researchers have found that deep neural networks have their own security problems that may lead to unexpected results. Specifically, they can be easily attacked by the adversarial examples that are generated by adding small perturbations to the original images, resulting in incorrect license plate recognition. There are some classic methods to generate adversarial examples, but they cannot be adopted on LPRS directly. In this paper,… More >

  • Open Access

    ARTICLE

    An Improved Differential Fault Analysis on Block Cipher KLEIN-64

    Min Long1, *, Man Kong1, Sai Long1, Xiang Zhang2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1425-1436, 2020, DOI:10.32604/cmc.2020.011116

    Abstract KLEIN-64 is a lightweight block cipher designed for resource-constrained environment, and it has advantages in software performance and hardware implementation. Recent investigation shows that KLEIN-64 is vulnerable to differential fault attack (DFA). In this paper, an improved DFA is performed to KLEIN-64. It is found that the differential propagation path and the distribution of the S-box can be fully utilized to distinguish the correct and wrong keys when a half-byte fault is injected in the 10th round. By analyzing the difference matrix before the last round of S-box, the location of fault injection can be limited to a small range.… More >

  • Open Access

    ARTICLE

    Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

    Wei Liang1, 2, Yang Ni3, Tingyi Li1, Xuejiao Lin1, Soo-Jin Chung1, *

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1411-1424, 2020, DOI:10.32604/cmc.2020.011166

    Abstract Agricultural culture is a productive activity about education and management. It aims at high efficiency and high quality, uses technology as its means, and takes nature as its carrier. Agricultural cultural resources are the product of the rapid development of modern economy. It promotes the development of the national economy and profoundly affects people's production and life. DEA model, also known as data envelope analysis method, is an algorithm that uses multiple data decision units for input and output training to obtain the final model. This article explains the concept and basic characteristics of agricultural culture. Through questionnaire surveys and… More >

  • Open Access

    ARTICLE

    Quantum Hierarchical Agglomerative Clustering Based on One Dimension Discrete Quantum Walk with Single-Point Phase Defects

    Gongde Guo1, Kai Yu1, Hui Wang2, Song Lin1, *, Yongzhen Xu1, Xiaofeng Chen3

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1397-1409, 2020, DOI:10.32604/cmc.2020.011399

    Abstract As an important branch of machine learning, clustering analysis is widely used in some fields, e.g., image pattern recognition, social network analysis, information security, and so on. In this paper, we consider the designing of clustering algorithm in quantum scenario, and propose a quantum hierarchical agglomerative clustering algorithm, which is based on one dimension discrete quantum walk with single-point phase defects. In the proposed algorithm, two nonclassical characters of this kind of quantum walk, localization and ballistic effects, are exploited. At first, each data point is viewed as a particle and performed this kind of quantum walk with a parameter,… More >

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