• DocumentCode
    1690355
  • Title

    The design and realization of the integration of internet and LAN-based RFID and the intrusion detection system based on Snort in the RFID system with Ethernet interface

  • Author

    Guo Hao-yan ; Guo Chang-yong ; Wang Fa-Qiang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol. (Weihai), Weihai, China
  • fYear
    2010
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    Radio frequency identification (RFID) uses wireless local area network technology, which limits its scope of application. And the data security isn´t well protected because of the limited hardware resource of cheap electronic tag. In this paper, we realize the combination of TCP/IP and RFID technology by the Ethernet interface of SAMSysMP9320 reader/writer. This is accomplished by assigning IP address and port number to the Ethernet interface of the SAMSysMP9320 reader/writer. Therefore the Internet and LAN -based RFID are merged, and RFID tag without power supply can be read and written from afar by the Internet. This provides a customer-oriented, unified and self-adaptive network service. Meanwhile, Snort intrusion detection system is implemented so that the data security is enhanced in RFID system.
  • Keywords
    Internet; computer network security; network interfaces; radiofrequency identification; transport protocols; wireless LAN; Ethernet interface; IP address; Internet; LAN-based RFID; SAMSysMP9320 reader-writer; Snort; TCP/IP; data security; intrusion detection system; radio frequency identification; wireless local area network; Educational institutions; IP networks; Radio frequency; Radiofrequency identification; Internet network; RFID; RFID reader; Snort Network Intrusion Detection System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aware Computing (ISAC), 2010 2nd International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-8313-6
  • Type

    conf

  • DOI
    10.1109/ISAC.2010.5670472
  • Filename
    5670472