• DocumentCode
    3203674
  • Title

    Enabling Data Hiding for Resource Sharing in Cloud Computing Environments Based on DNA Sequences

  • Author

    Abbasy, Mohammad Reza ; Shanmugam, Bharanidharan

  • Author_Institution
    Adv. Inf. Sch. (AIS), Univ. Teknol. Malaysia (UTM), Kuala Lumpur, Malaysia
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    385
  • Lastpage
    390
  • Abstract
    The main target of this paper is to propose an algorithm to implement data hiding in DNA sequences to increase the confidentiality and complexity by using software point of view in cloud computing environments. By utilizing some interesting features of DNA sequences, the implementation of a data hiding is applied in cloud. The algorithm which has been proposed here is based on binary coding and complementary pair rules. Therefore, DNA reference sequence is chosen and a secret data M is hidden into it as well. As result of applying some steps, M´´´ is come out to upload to cloud environments. The process of identifying and extracting the original data M, hidden in DNA reference sequence begins once clients decide to use data. Furthermore, security issues are demonstrated to inspect the complexity of the algorithm.
  • Keywords
    binary codes; biocomputing; cloud computing; data encapsulation; data mining; data privacy; security of data; DNA sequences; binary coding; cloud computing; complementary pair rules; confidentiality; data extracting; data hiding; resource sharing; security issues; Amino acids; Cloud computing; DNA; Data mining; Indexes; RNA; Cloud Computing; DNA base pairing rules; DNA binary coding; DNA sequence; Data hiding; complementary rules; data confidentiality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2011 IEEE World Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-0879-4
  • Electronic_ISBN
    978-0-7695-4461-8
  • Type

    conf

  • DOI
    10.1109/SERVICES.2011.45
  • Filename
    6012764