Abstract
Fast-flux service networks (FFSNs) are currently the greatest threat encountered in the computer networking field. This technique hides attackers behind a network of proxy servers (agents), thereby avoiding detection by security personnel. FFSN benefits criminal parties because it protects their Web sites and extends Web site life s pan. FFSN is becoming more dangerous, and estimating the size of FFSN-agents is becoming increasingly difficult. Additionally, bec ause flux-agents may represent bot nodes, we can estimate the scale of FFSNs to determine the extent of threats. This study primarily estimates the population size of FFSNs. The flux-agent population size was estimated using the joint hypergeometric maximum likelihood estimator (JHE) of capture-recapture methods (CRMs). The results showed that the JHE and CRM estimated the population size more rapidly compared to general survey approaches.
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