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基于A(yíng)gent人工智能技術(shù)的分布式入侵檢測系統設計
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潛艇學(xué)院

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Design of Distributed Intrusion Detection System Based on Agent Artificial Intelligence Technology
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    摘要:

    針對當前IDA系統中由于數據集中處理缺陷,影響了系統入侵檢測精準性。提出了基于A(yíng)gent人工智能技術(shù)的分布式入侵檢測系統設計。在系統總體結構支持下,分析控制中心、網(wǎng)絡(luò )主機、分區控制中心和Agent庫。根據響應庫中的響應規則采取對應的響應策略,利用通信模塊及時(shí)判斷入侵行為是否異常,使用S5720S-28P-SI-AC 24口全千兆三層網(wǎng)管企業(yè)級網(wǎng)絡(luò )核心交換機,進(jìn)行數據交換。選擇AD2032型號的報警響應器,能夠監視外來(lái)入侵行為。通過(guò)V1.2綠色電腦信息檢測器,對系統內存和驅動(dòng)磁盤(pán)進(jìn)行全方位評估。分析主體通信的實(shí)現方式、通信消息格式和通信協(xié)議,設計以Agent為基礎的數據移動(dòng)過(guò)程。借助Libpcap庫函數,設計入侵檢測流程。設置攻擊環(huán)境與參數,由系統調試結果可知,該系統最高檢測精準度可達到99%,為保證網(wǎng)絡(luò )安全使用提供設備支持。

    Abstract:

    Aiming at the defect of centralized data processing in the current IDA system, the accuracy of system intrusion detection is affected. The design of distributed intrusion detection system based on Agent artificial intelligence technology is proposed. With the support of the overall structure of the system, the analysis control center, network host, partition control center and Agent library are analyzed. According to the response rules in the response library, the corresponding response strategy is adopted, and the communication module is used to timely determine whether the intrusion behavior is abnormal. The S5720S-28P-SI-AC 24-port full Gigabit Layer 3 network management enterprise-level network core switch is used for data exchange. Select AD2032 type alarm responder to be able to monitor the behavior of foreign intrusion. Through V1.2 green computer information detector, comprehensive evaluation of system memory and drive disk. Analyze the implementation method, communication message format and communication protocol of the subject, and design the data movement process based on Agent. With the help of Libpcap library function, design the intrusion detection process. Set the attack environment and parameters. According to the system debugging results, the highest detection accuracy of the system can reach 99%, and equipment support is provided to ensure the safe use of the network.

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李剛,孫耀文,于德新,付海,趙邵蕾.基于A(yíng)gent人工智能技術(shù)的分布式入侵檢測系統設計計算機測量與控制[J].,2020,28(7):29-33.

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  • 收稿日期:2020-03-26
  • 最后修改日期:2020-04-17
  • 錄用日期:2020-04-17
  • 在線(xiàn)發(fā)布日期: 2020-07-14
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