This study introduces HackerRank, an automatic method designed to identify key hackers in underground forums by integrating content analysis and social network analysis. As cybercrime becomes increasingly complex, traditional manual analysis is inefficient due to the vast amount of data and the small fraction of key hackers among users. HackerRank extracts topic preferences and user evaluations before applying an improved Topic-specific PageRank to rank users. Tested on five underground forums, HackerRank improved coverage rates by 3.14% and 16.19% compared to using content or social network analysis alone. Manual validation confirmed the method's effectiveness in identifying key hackers.
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Huang, Cheng, et al. "HackerRank: Identifying key hackers in underground forums." International Journal of Distributed Sensor Networks 17.5 (2021): 15501477211015145.
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