Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (11)
  • Open Access

    ARTICLE

    Utilizing Machine Learning with Unique Pentaplet Data Structure to Enhance Data Integrity

    Abdulwahab Alazeb*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2995-3014, 2023, DOI:10.32604/cmc.2023.043173

    Abstract Data protection in databases is critical for any organization, as unauthorized access or manipulation can have severe negative consequences. Intrusion detection systems are essential for keeping databases secure. Advancements in technology will lead to significant changes in the medical field, improving healthcare services through real-time information sharing. However, reliability and consistency still need to be solved. Safeguards against cyber-attacks are necessary due to the risk of unauthorized access to sensitive information and potential data corruption. Disruptions to data items can propagate throughout the database, making it crucial to reverse fraudulent transactions without delay, especially in the healthcare industry, where real-time… More >

  • Open Access

    ARTICLE

    Blockchain and Data Integrity Authentication Technique for Secure Cloud Environment

    A. Ramachandran1,*, P. Ramadevi2, Ahmed Alkhayyat3, Yousif Kerrar Yousif4

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2055-2070, 2023, DOI:10.32604/iasc.2023.032942

    Abstract Nowadays, numerous applications are associated with cloud and user data gets collected globally and stored in cloud units. In addition to shared data storage, cloud computing technique offers multiple advantages for the user through different distribution designs like hybrid cloud, public cloud, community cloud and private cloud. Though cloud-based computing solutions are highly convenient to the users, it also brings a challenge i.e., security of the data shared. Hence, in current research paper, blockchain with data integrity authentication technique is developed for an efficient and secure operation with user authentication process. Blockchain technology is utilized in this study to enable… More >

  • Open Access

    ARTICLE

    Blockchain-Based Privacy-Preserving Public Auditing for Group Shared Data

    Yining Qi1,2,*, Yubo Luo3, Yongfeng Huang1,2, Xing Li1,2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2603-2618, 2023, DOI:10.32604/iasc.2023.030191

    Abstract Cloud storage has been widely used to team work or cooperation development. Data owners set up groups, generating and uploading their data to cloud storage, while other users in the groups download and make use of it, which is called group data sharing. As all kinds of cloud service, data group sharing also suffers from hardware/software failures and human errors. Provable Data Possession (PDP) schemes are proposed to check the integrity of data stored in cloud without downloading. However, there are still some unmet needs lying in auditing group shared data. Researchers propose four issues necessary for a secure group… More >

  • Open Access

    ARTICLE

    Blockchain-based Privacy-Preserving Group Data Auditing with Secure User Revocation

    Yining Qi1,2,*, Yubo Luo3, Yongfeng Huang1,2, Xing Li1,2

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 183-199, 2023, DOI:10.32604/csse.2023.031030

    Abstract Progress in cloud computing makes group data sharing in outsourced storage a reality. People join in group and share data with each other, making team work more convenient. This new application scenario also faces data security threats, even more complex. When a user quit its group, remaining data block signatures must be re-signed to ensure security. Some researchers noticed this problem and proposed a few works to relieve computing overhead on user side. However, considering the privacy and security need of group auditing, there still lacks a comprehensive solution to implement secure group user revocation, supporting identity privacy preserving and… More >

  • Open Access

    ARTICLE

    Towards Public Integrity Audition for Cloud-IoT Data Based on Blockchain

    Hao Yan1,2, Yanan Liu1, Shuo Qiu1, Shengzhou Hu3, Weijian Zhang4,*, Jinyue Xia5

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 1129-1142, 2022, DOI:10.32604/csse.2022.022317

    Abstract With the rapidly developing of Internet of Things (IoT), the volume of data generated by IoT systems is increasing quickly. To release the pressure of data management and storage, more and more enterprises and individuals prefer to integrate cloud service with IoT systems, in which the IoT data can be outsourced to cloud server. Since cloud service provider (CSP) is not fully trusted, a variety of methods have been proposed to deal with the problem of data integrity checking. In traditional data integrity audition schemes, the task of data auditing is usually performed by Third Party Auditor (TPA) which is… More >

  • Open Access

    ARTICLE

    Eye Gaze Detection Based on Computational Visual Perception and Facial Landmarks

    Debajit Datta1, Pramod Kumar Maurya1, Kathiravan Srinivasan2, Chuan-Yu Chang3,*, Rishav Agarwal1, Ishita Tuteja1, V. Bhavyashri Vedula1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2545-2561, 2021, DOI:10.32604/cmc.2021.015478

    Abstract The pandemic situation in 2020 brought about a ‘digitized new normal’ and created various issues within the current education systems. One of the issues is the monitoring of students during online examination situations. A system to determine the student’s eye gazes during an examination can help to eradicate malpractices. In this work, we track the users’ eye gazes by incorporating twelve facial landmarks around both eyes in conjunction with computer vision and the HAAR classifier. We aim to implement eye gaze detection by considering facial landmarks with two different Convolutional Neural Network (CNN) models, namely the AlexNet model and the… More >

  • Open Access

    ARTICLE

    Secure Localization Based Authentication (SLA) Strategy for Data Integrity in WNS

    V. Manikandan1,*, M. Sivaram1, Amin Salih Mohammed2, V. Porkodi3, K. Shankar4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 4005-4018, 2021, DOI:10.32604/cmc.2021.014643

    Abstract Wireless Sensor Networks (WSN) has been extensively utilized as a communication model in Internet of Things (IoT). As well, to offer service, numerous IoT based applications need effective transmission over unstable locations. To ensure reliability, prevailing investigations exploit multiple candidate forwarders over geographic opportunistic routing in WSNs. Moreover, these models are affected by crucial denial of service (DoS) attacks, where huge amount of invalid data are delivered intentionally to the receivers to disturb the functionality of WSNs. Here, secure localization based authentication (SLA) is presented to fight against DoS attack, and to fulfil the need of reliability and authentication. By… More >

  • Open Access

    ARTICLE

    Blockchain Technology Based Information Classification Management Service

    Gi-Wan Hong1, Jeong-Wook Kim1, Hangbae Chang2,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1489-1501, 2021, DOI:10.32604/cmc.2021.013344

    Abstract Hyper-connectivity in Industry 4.0 has resulted in not only a rapid increase in the amount of information, but also the expansion of areas and assets to be protected. In terms of information security, it has led to an enormous economic cost due to the various and numerous security solutions used in protecting the increased assets. Also, it has caused difficulties in managing those issues due to reasons such as mutual interference, countless security events and logs’ data, etc. Within this security environment, an organization should identify and classify assets based on the value of data and their security perspective, and… More >

  • Open Access

    ARTICLE

    A Distributed Intrusion Detection Model via Nondestructive Partitioning and Balanced Allocation for Big Data

    Xiaonian Wu1,*, Chuyun Zhang3, Runlian Zhang2, Yujue Wang2, Jinhua Cui4

    CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 61-72, 2018, DOI: 10.3970/cmc.2018.02449

    Abstract There are two key issues in distributed intrusion detection system, that is, maintaining load balance of system and protecting data integrity. To address these issues, this paper proposes a new distributed intrusion detection model for big data based on nondestructive partitioning and balanced allocation. A data allocation strategy based on capacity and workload is introduced to achieve local load balance, and a dynamic load adjustment strategy is adopted to maintain global load balance of cluster. Moreover, data integrity is protected by using session reassemble and session partitioning. The simulation results show that the new model enjoys favorable advantages such as… More >

  • Open Access

    ARTICLE

    A Dual-Chaining Watermark Scheme for Data Integrity Protection in Internet of Things

    Baowei Wang1,2,*, Weiwen Kong1, Wei Li1, Neal N. Xiong3

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 679-695, 2019, DOI:10.32604/cmc.2019.06106

    Abstract Chaining watermark is an effective way to verify the integrity of streaming data in wireless network environment, especially in resource-constrained sensor networks, such as the perception layer of Internet of Things applications. However, in all existing single chaining watermark schemes, how to ensure the synchronization between the data sender and the receiver is still an unsolved problem. Once the synchronization points are attacked by the adversary, existing data integrity authentication schemes are difficult to work properly, and the false negative rate might be up to 50 percent. And the additional fixed group delimiters not only increase the data size, but… More >

Displaying 1-10 on page 1 of 11. Per Page