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基于蟻群算法的無(wú)線(xiàn)通信網(wǎng)絡(luò )安全漏洞檢測方法
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蘇州高博軟件技術(shù)職業(yè)學(xué)院

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[1]江蘇省高等職業(yè)教育高水平專(zhuān)業(yè)群(蘇教職函[2021] 1號); [2]江蘇省高等職業(yè)教育高水平骨干專(zhuān)業(yè)建設項目(蘇教高[2017] 17號)


Wireless communication network security vulnerability detection method based on ant colony algorithm
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    摘要:

    無(wú)線(xiàn)通信網(wǎng)絡(luò )存在因漏洞數據大量累積而造成通信網(wǎng)絡(luò )運行速率下降的問(wèn)題,提出基于蟻群算法的無(wú)線(xiàn)通信網(wǎng)絡(luò )安全漏洞檢測方法。根據最大、最小螞蟻系統定義原則,采用蟻群算法,建立完整的數學(xué)模型表達式。結合網(wǎng)絡(luò )爬蟲(chóng)技術(shù),將待測數據載荷單元整理成既定組合形式,遵循繞過(guò)規則,提取待測安全漏洞數據。分析SQL注釋語(yǔ)句與URL編碼條件,設置動(dòng)態(tài)化查詢(xún)指令,選取其中表現為空的信息字節,建立信息剝離表達式,實(shí)現無(wú)線(xiàn)通信網(wǎng)絡(luò )安全漏洞檢測。實(shí)驗結果表明,設計方法的漏洞信息檢測量均值達到了4.37Mb,該檢測方法有效提高了檢測量,解決了因漏洞數據大量累積而造成的通信網(wǎng)絡(luò )運行速率下降的問(wèn)題。

    Abstract:

    The problem that the running rate of wireless communication network decreases due to the accumulation of vulnerability data is presented. According to the definition principle of maximum and minimum ant system, the complete mathematical model expression is established by ant colony algorithm. Combined with the web crawler technology, the load units of the data to be tested are sorted into the established combination form, and the security vulnerability data to be tested is extracted according to the bypass rules. SQL annotation statement and URL coding conditions are analyzed, dynamic query instructions are set, empty information bytes are selected, information stripping expression is established, and wireless communication network security vulnerability detection is realized. The experimental results show that the average amount of vulnerability information detected by the design method reaches 4.37Mb, which effectively improves the amount of detection and solves the problem of communication network operation rate decrease caused by massive accumulation of vulnerability data.

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李梅,朱明宇.基于蟻群算法的無(wú)線(xiàn)通信網(wǎng)絡(luò )安全漏洞檢測方法計算機測量與控制[J].,2022,30(10):51-56.

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  • 收稿日期:2022-05-20
  • 最后修改日期:2022-07-05
  • 錄用日期:2022-07-06
  • 在線(xiàn)發(fā)布日期: 2022-11-01
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