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  • Open Access

    ARTICLE

    Intelligent Digital Envelope for Distributed Cloud-Based Big Data Security

    S. Prince Chelladurai1,*, T. Rajagopalan2

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 951-960, 2023, DOI:10.32604/csse.2023.034262 - 20 January 2023

    Abstract Cloud computing offers numerous web-based services. The adoption of many Cloud applications has been hindered by concerns about data security and privacy. Cloud service providers’ access to private information raises more security issues. In addition, Cloud computing is incompatible with several industries, including finance and government. Public-key cryptography is frequently cited as a significant advancement in cryptography. In contrast, the Digital Envelope that will be used combines symmetric and asymmetric methods to secure sensitive data. This study aims to design a Digital Envelope for distributed Cloud-based large data security using public-key cryptography. Through strategic design, More >

  • Open Access

    ARTICLE

    Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique

    Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Kanika Sharma3, Masood Ahmad4, Raees Ahmad Khan4,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 859-872, 2023, DOI:10.32604/csse.2023.025796 - 01 June 2022

    Abstract In recent years, it has been observed that the disclosure of information increases the risk of terrorism. Without restricting the accessibility of information, providing security is difficult. So, there is a demand for time to fill the gap between security and accessibility of information. In fact, security tools should be usable for improving the security as well as the accessibility of information. Though security and accessibility are not directly influenced, some of their factors are indirectly influenced by each other. Attributes play an important role in bridging the gap between security and accessibility. In this… More >

  • Open Access

    ARTICLE

    Analyzing the Implications of Healthcare Data Breaches through Computational Technique

    Ahmed H. Almulihi1, Fawaz Alassery2, Asif Irshad Khan3, Sarita Shukla4, Bineet Kumar Gupta4, Rajeev Kumar4,*

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1763-1779, 2022, DOI:10.32604/iasc.2022.023460 - 09 December 2021

    Abstract The contributions of the Internet of Medical Things (IoMT), cloud services, information systems, and smart devices are useful for the healthcare industry. With the help of digital healthcare, our lives have been made much more secure and effortless and provide more convenient and accessible treatment. In current, the modern healthcare sector has become more significant and convenient for the purpose of both external and internal threats. Big data breaches affect clients, stakeholders, organisations, and businesses, and they are a source of concern and complication for security professionals. This research examines the many types and categories… More >

  • Open Access

    ARTICLE

    Analyzing the Big Data Security Through a Unified Decision-Making Approach

    Abdulaziz Attaallah1, Hassan Alsuhabi2, Sarita Shukla3, Rajeev Kumar3,*, Bineet Kumar Gupta3, Raees Ahmad Khan4

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1071-1088, 2022, DOI:10.32604/iasc.2022.022569 - 17 November 2021

    Abstract The use of cloud services, web-based software systems, the Internet of Things (IoT), Machine Learning (ML), Artificial Intelligence (AI), and other wireless sensor devices in the health sector has resulted in significant advancements and benefits. Early disease detection, increased accessibility, and high diagnostic reach have all been made possible by digital healthcare. Despite this remarkable achievement, healthcare data protection has become a serious issue for all parties involved. According to data breach statistics, the healthcare data industry is one of the major threats to cyber criminals. In reality, healthcare data breaches have increased at an… More >

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