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The classification of hackers by knowledge exchange behaviors

Author

Listed:
  • Xiong Zhang

    (City University of Hong Kong)

  • Alex Tsang

    (City University of Hong Kong)

  • Wei T. Yue

    (City University of Hong Kong)

  • Michael Chau

    (The University of Hong Kong)

Abstract

This paper examines messages posted in a hacker forum and constructs four user profiles based on the observed behavior patterns. It starts with the development of an automated forum post classification system to understand the knowledge transfer pattern exhibited by each user over time. Two patterns, knowledge acquisition and knowledge provision, are noted to be particularly informative. Based on these two and other user characteristics, user profiles are classified into four types: guru hackers, casual hackers, learning hackers, and novice hackers. Guru hackers are knowledgeable and respectable. They usually share ideas and advice with others. Casual hackers tend to act as observers. They can be skilled hackers who show interest mainly in deriving usable information from the forum. Learning hackers are also expert hackers who utilize the forum basically for learning. They actively seek knowledge and tend to share more of it over time. Novice hackers are new learners who typically join the forum for a short period. Overall, it is found that hacker communities very much represent learning communities where meritocracy is in place.

Suggested Citation

  • Xiong Zhang & Alex Tsang & Wei T. Yue & Michael Chau, 2015. "The classification of hackers by knowledge exchange behaviors," Information Systems Frontiers, Springer, vol. 17(6), pages 1239-1251, December.
  • Handle: RePEc:spr:infosf:v:17:y:2015:i:6:d:10.1007_s10796-015-9567-0
    DOI: 10.1007/s10796-015-9567-0
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    References listed on IDEAS

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    1. DeSanctis, Gerardine & Fayard, Anne-Laure & Roach, Michael & Jiang, Lu, 2003. "Learning in Online Forums," European Management Journal, Elsevier, vol. 21(5), pages 565-577, October.
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    Cited by:

    1. Cheng Huang & Yongyan Guo & Wenbo Guo & Ying Li, 2021. "HackerRank: Identifying key hackers in underground forums," International Journal of Distributed Sensor Networks, , vol. 17(5), pages 15501477211, May.
    2. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. A. J. Burns & Clay Posey & James F. Courtney & Tom L. Roberts & Prabhashi Nanayakkara, 0. "Organizational information security as a complex adaptive system: insights from three agent-based models," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    4. A. J. Burns & Clay Posey & James F. Courtney & Tom L. Roberts & Prabhashi Nanayakkara, 2017. "Organizational information security as a complex adaptive system: insights from three agent-based models," Information Systems Frontiers, Springer, vol. 19(3), pages 509-524, June.
    5. Karl R. Lang & Vojislav B. Misic & Leon J. Zhao, 2015. "Special section on business process analytics," Information Systems Frontiers, Springer, vol. 17(6), pages 1191-1194, December.

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