Numerical Information in Database Online Protecting via Random Multi-level Pertubations

Xu Huang, Dharmendra Sharma, A Madoc

    Research output: Contribution to journalArticle

    Abstract

    Great research interest is being attracted towards providing unlimited, correct, numerical responses to ad-hoc queries to an on-line database, while not compromising confidential numerical data. Unlike traditional random data perturbation (RDP), a new approach titled multi-level pseudo random sequences covered RDP is carefully extended from our previous research results from pseudo random binary sequences. This paper demonstrates how numerical confidential data can be protected against insider threat. As an application of our method, an online medical survey database is, as a case study, described, which can be easily extended to other application fields, such as e-government and e-commerce. The results from the current paper from multi-level pseudo random sequences compare very well with results obtained from our pseudo random binary sequences
    Original languageEnglish
    Pages (from-to)1105-1110
    Number of pages6
    JournalWSEAS Transactions on Information Science and Applications
    Volume4
    Issue number5
    Publication statusPublished - 2007

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    abstract = "Great research interest is being attracted towards providing unlimited, correct, numerical responses to ad-hoc queries to an on-line database, while not compromising confidential numerical data. Unlike traditional random data perturbation (RDP), a new approach titled multi-level pseudo random sequences covered RDP is carefully extended from our previous research results from pseudo random binary sequences. This paper demonstrates how numerical confidential data can be protected against insider threat. As an application of our method, an online medical survey database is, as a case study, described, which can be easily extended to other application fields, such as e-government and e-commerce. The results from the current paper from multi-level pseudo random sequences compare very well with results obtained from our pseudo random binary sequences",
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    Numerical Information in Database Online Protecting via Random Multi-level Pertubations. / Huang, Xu; Sharma, Dharmendra; Madoc, A.

    In: WSEAS Transactions on Information Science and Applications, Vol. 4, No. 5, 2007, p. 1105-1110.

    Research output: Contribution to journalArticle

    TY - JOUR

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    AU - Huang, Xu

    AU - Sharma, Dharmendra

    AU - Madoc, A

    PY - 2007

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    AB - Great research interest is being attracted towards providing unlimited, correct, numerical responses to ad-hoc queries to an on-line database, while not compromising confidential numerical data. Unlike traditional random data perturbation (RDP), a new approach titled multi-level pseudo random sequences covered RDP is carefully extended from our previous research results from pseudo random binary sequences. This paper demonstrates how numerical confidential data can be protected against insider threat. As an application of our method, an online medical survey database is, as a case study, described, which can be easily extended to other application fields, such as e-government and e-commerce. The results from the current paper from multi-level pseudo random sequences compare very well with results obtained from our pseudo random binary sequences

    M3 - Article

    VL - 4

    SP - 1105

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    JO - WSEAS Transactions on Information Science and Applications

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