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  • Open Access

    ARTICLE

    Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment

    D. Prabakaran1,*, Shyamala Ramachandran2

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1781-1798, 2022, DOI:10.32604/cmc.2022.019591 - 07 September 2021

    Abstract The rise of the digital economy and the comfort of accessing by way of user mobile devices expedite human endeavors in financial transactions over the Virtual Private Network (VPN) backbone. This prominent application of VPN evades the hurdles involved in physical money exchange. The VPN acts as a gateway for the authorized user in accessing the banking server to provide mutual authentication between the user and the server. The security in the cloud authentication server remains vulnerable to the results of threat in JP Morgan Data breach in 2014, Capital One Data Breach in 2019,… More >

  • Open Access

    ARTICLE

    Enhanced Trust Based Access Control for Multi-Cloud Environment

    N. R. Rejin Paul1,*, D. Paul Raj2

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3079-3093, 2021, DOI:10.32604/cmc.2021.018993 - 24 August 2021

    Abstract Security is an essential part of the cloud environment. For ensuring the security of the data being communicated to and from the cloud server, a significant parameter called trust was introduced. Trust-based security played a vital role in ensuring that the communication between cloud users and service providers remained unadulterated and authentic. In most cloud-based data distribution environments, emphasis is placed on accepting trusted client users’ requests, but the cloud servers’ integrity is seldom verified. This paper designs a trust-based access control model based on user and server characteristics in a multi-cloud environment to address… More >

  • Open Access

    ARTICLE

    Resource Management and Task Offloading Issues in the Edge–Cloud Environment

    Jaber Almutairi1, Mohammad Aldossary2,*

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 129-145, 2021, DOI:10.32604/iasc.2021.018480 - 26 July 2021

    Abstract With the increasing number of Internet of Things (IoT) devices connected to the internet, a platform is required to support the enormous amount of data they generate. Since cloud computing is far away from the connected IoT devices, applications that require low-latency, real-time interaction and high quality of service (QoS) may suffer network delay in using the Cloud. Consequently, the concept of edge computing has appeared to complement cloud services, working as an intermediate layer with computation capabilities between the Cloud and IoT devices, to overcome these limitations. Although edge computing is a promising enabler… More >

  • Open Access

    ARTICLE

    Investigating and Modelling of Task Offloading Latency in Edge-Cloud Environment

    Jaber Almutairi1, Mohammad Aldossary2,*,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 4143-4160, 2021, DOI:10.32604/cmc.2021.018145 - 06 May 2021

    Abstract Recently, the number of Internet of Things (IoT) devices connected to the Internet has increased dramatically as well as the data produced by these devices. This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing. However, different service architecture and offloading strategies have a different impact on the service time performance of IoT applications. Therefore, this paper presents an Edge-Cloud system architecture that supports scheduling offloading tasks of IoT applications in order to minimize the enormous amount of transmitting data in the More >

  • Open Access

    ARTICLE

    A Secure Rotation Invariant LBP Feature Computation in Cloud Environment

    Shiqi Wang1, Mingfang Jiang2,*, Jiaohua Qin1, Hengfu Yang2, Zhichen Gao3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2979-2993, 2021, DOI:10.32604/cmc.2021.017094 - 06 May 2021

    Abstract In the era of big data, outsourcing massive data to a remote cloud server is a promising approach. Outsourcing storage and computation services can reduce storage costs and computational burdens. However, public cloud storage brings about new privacy and security concerns since the cloud servers can be shared by multiple users. Privacy-preserving feature extraction techniques are an effective solution to this issue. Because the Rotation Invariant Local Binary Pattern (RILBP) has been widely used in various image processing fields, we propose a new privacy-preserving outsourcing computation of RILBP over encrypted images in this paper (called More >

  • Open Access

    ARTICLE

    OPPR: An Outsourcing Privacy-Preserving JPEG Image Retrieval Scheme with Local Histograms in Cloud Environment

    Jian Tang, Zhihua Xia*, Lan Wang, Chengsheng Yuan, Xueli Zhao

    Journal on Big Data, Vol.3, No.1, pp. 21-33, 2021, DOI:10.32604/jbd.2021.015892 - 25 January 2021

    Abstract As the wide application of imaging technology, the number of big image data which may containing private information is growing fast. Due to insufficient computing power and storage space for local server device, many people hand over these images to cloud servers for management. But actually, it is unsafe to store the images to the cloud, so encryption becomes a necessary step before uploading to reduce the risk of privacy leakage. However, it is not conducive to the efficient application of image, especially in the Content-Based Image Retrieval (CBIR) scheme. This paper proposes an outsourcing… More >

  • Open Access

    ARTICLE

    Fuzzy Search for Multiple Chinese Keywords in Cloud Environment

    Zhongjin Fang1, 2, Jinwei Wang1, *, Baowei Wang1, Jianjun Zhang3, Yunqing Shi4

    CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 351-363, 2019, DOI:10.32604/cmc.2019.07106

    Abstract With the continuous development of cloud computing and big data technology, the use of cloud storage is more and more extensive, and a large amount of data is outsourced for public cloud servers, and the security problems that follow are gradually emerging. It can not only protect the data privacy of users, but also realize efficient retrieval and use of data, which is an urgent problem for cloud storage. Based on the existing fuzzy search and encrypted data fuzzy search schemes, this paper uses the characteristics of fuzzy sounds and polysemy that are unique to More >

  • Open Access

    ARTICLE

    A Privacy-Preserving Image Retrieval Based on AC-Coefficients and Color Histograms in Cloud Environment

    Zhihua Xia1,*, Lihua Lu1, Tong Qiu1, H. J. Shim1, Xianyi Chen1, Byeungwoo Jeon2

    CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 27-43, 2019, DOI:10.32604/cmc.2019.02688

    Abstract Content based image retrieval (CBIR) techniques have been widely deployed in many applications for seeking the abundant information existed in images. Due to large amounts of storage and computational requirements of CBIR, outsourcing image search work to the cloud provider becomes a very attractive option for many owners with small devices. However, owing to the private content contained in images, directly outsourcing retrieval work to the cloud provider apparently bring about privacy problem, so the images should be protected carefully before outsourcing. This paper presents a secure retrieval scheme for the encrypted images in the… More >

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