• DocumentCode
    1799849
  • Title

    Survey of Integrity Detection Methods in Internet of Things

  • Author

    Chaoliang Li ; Qin Li ; Guojun Wang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2014
  • fDate
    24-26 Sept. 2014
  • Firstpage
    906
  • Lastpage
    913
  • Abstract
    Internet of Things (IoT) has received more and more concerns in academia and industry since it was first proposed. With the decrease of tag price and the development of electronic equipments, IoT is widely used to manage the commodities in modern logistic warehouse. As the commodities move in and out of the warehouse frequently every day, there is a need to devise an efficient solution to detect the integrity of a batch of commodities in such an environment. Many detection methods are analyzed and compared in the paper. At the same time, some promising and potential research directions on integrity detection are listed at the end of the paper.
  • Keywords
    Internet of Things; data integrity; radiofrequency identification; warehouse automation; Internet of Things; IoT; electronic equipments; integrity detection methods; modern logistic warehouse; tag price; Detection algorithms; Educational institutions; Internet; Logistics; Privacy; Protocols; Radiofrequency identification; Internet of Things (IoT); integrity detection; survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/TrustCom.2014.120
  • Filename
    7011345