• DocumentCode
    2961346
  • Title

    Building an Anti-phishing Game to Enhance Network Security Literacy Learning

  • Author

    Yang, Che-Ching ; Tseng, Shian-Shyong ; Lee, Tsung-Ju ; Weng, Jui-Feng ; Chen, Kaiyuan

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    121
  • Lastpage
    123
  • Abstract
    Internet phishing attack is increasing and causing enormous economic loss in recent years. The network security literacy learning for educating students to defense phishing attack becomes more important. However, with the growing of attacking tricks, the anti-phishing knowledge is continuously increasing. The traditional learning platform with antiphishing technical documents is not sufficient for students to prevent the phishing attacks. To transform the continuously increasing anti-phishing knowledge to learning materials, the Bloom´s taxonomy of cognitive domain was used to classify anti-phishing knowledge into different levels of learning skills. Since traditional anti-phishing documents are difficult to read for students, the Anti-phishing Education Game was developed to provide an interactive narrative learning environment for learning by doing. Thus, the game missions can be adaptively provided to students based on their learning achievements and engage students´ attention. The experimental result shows that students have significant progress in identifying phishing page and high learning motivation by using our approach.
  • Keywords
    computer aided instruction; computer games; security of data; Bloom taxonomy; Internet phishing attack; antiphishing documents; antiphishing education game; antiphishing knowledge; attacking tricks; enhance network security literacy learning; game missions; Games; Internet; Materials; Security; Taxonomy; Training; Game content generation; adaptive learning; anti-phishing; expert system; game-based learning; knowledge acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1642-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2012.174
  • Filename
    6268053