• DocumentCode
    3577281
  • Title

    MUL-SWoT: A Social Web of Things Platform for Internet of Things Application Development

  • Author

    Tein-Yaw Chung ; Mashal, Ibrahim ; Alsaryrah, Osama ; Chih-Hsiang Chang ; Tsung-Hsuan Hsu ; Pei-Shan Li ; Wen-Hsing Kuo

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Taoyuan, Taiwan
  • fYear
    2014
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    Social Web of Thing (SWoT) has been considered a great platform for future App development because it integrates IoT and Social Networks (SN) and makes human readily monitor and manage smart objects. This work discusses technical options and various requirements of SWoT and presents a scalable and flexible Multimedia-supported SWoT platform called MUL-SWoT. MUL-SWoT provides easy integration of smart objects and 3rd party service providers. It can handle multimedia data and provide novel IoT-based service recommendation to users. Finally, to understand MUL-SWoT, we describe how an intrusion detection service is built on the MUL-SWoT platform.
  • Keywords
    Internet of Things; multimedia systems; recommender systems; security of data; social networking (online); 3rd party service providers; Internet of Things application development; IoT-based service recommendation; MUL-SWoT; SN; app development; intrusion detection service; multimedia data; multimedia-supported SWoT platform; smart objects; social Web of Thing; social networks; Abstracts; Conferences; Green computing; Internet of things; Intrusion detection; Social network services; Internet of Things; Intrusion Detection System; REST; Social Network Site; Social Web of Things; Web of Things;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.53
  • Filename
    7059678