Scholarlink

This paper proposes a firewall that prevents the spread of malicious bot infections by a small count of white-hat bots targeting large networks. By strategic placing bots, we identify bottlenecks in the network structure and minimize the count of bots deployed to prevent the spread of malicious bot infections. The proposed method is a malicious bot neighborhood-based method for large networks that considers the trade-off relationship between minimum firewall and minimum count of infections. The method builds a firewall by identifying bottlenecks using minimum node cuts at the edges of the edges of malicious bots and firewall search areas and placing white hat bots at those locations. The algorithm determines the firewall search area by its distance from the malicious bot. This was implemented as an algorithm and evaluated. indicator were set, with lower scores meaning better firewall performance. In comparison to the surround tactic, the count of white-hat bots was reduced by \(50\%\) and the count of infections increased by \(24\%\) .

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

On Building a Firewall with White Hat Bots in the Neighborhood of Malicious Bots in Large-Scale Networks

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Ryutaro Matsumoto,
  • Shingo Yamaguchi

摘要

This paper proposes a firewall that prevents the spread of malicious bot infections by a small count of white-hat bots targeting large networks. By strategic placing bots, we identify bottlenecks in the network structure and minimize the count of bots deployed to prevent the spread of malicious bot infections. The proposed method is a malicious bot neighborhood-based method for large networks that considers the trade-off relationship between minimum firewall and minimum count of infections. The method builds a firewall by identifying bottlenecks using minimum node cuts at the edges of the edges of malicious bots and firewall search areas and placing white hat bots at those locations. The algorithm determines the firewall search area by its distance from the malicious bot. This was implemented as an algorithm and evaluated. indicator were set, with lower scores meaning better firewall performance. In comparison to the surround tactic, the count of white-hat bots was reduced by \(50\%\) and the count of infections increased by \(24\%\) .