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基于嵌入式及ASG技術(shù)的物聯(lián)網(wǎng)節點(diǎn)捕獲攻擊檢測系統
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廣東科學(xué)技術(shù)職業(yè)學(xué)院教務(wù)部

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An IoT Node Capture Attack Detection System Based on Embedded and ASG Technology
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    摘要:

    為精準檢測攻擊性節點(diǎn)所處位置,并對其實(shí)施定向化捕獲處理,設計了基于嵌入式及ASG技術(shù)的物聯(lián)網(wǎng)節點(diǎn)捕獲攻擊檢測系統。通過(guò)數據報文捕獲模塊、數據報文解析模塊、報文處理模塊,優(yōu)化由節點(diǎn)定義到節點(diǎn)實(shí)時(shí)處理的執行流程,根據攻擊檢測與定位模塊運行情況,調試物聯(lián)網(wǎng)節點(diǎn)對象,實(shí)現檢測系統硬件設計。利用物聯(lián)網(wǎng)主機所捕獲到節點(diǎn)信息的加密、解密與秘鑰管理結果,確定節點(diǎn)認證流程,完成嵌入式物聯(lián)網(wǎng)防御機制的設計。按照ASG技術(shù)執行標準,收集蠕蟲(chóng)樣本,并判斷特征生成與分發(fā)處理指令的可行性,完成關(guān)鍵檢測指令的制定,結合相關(guān)運行元件,實(shí)現基于嵌入式及ASG技術(shù)的物聯(lián)網(wǎng)節點(diǎn)捕獲攻擊檢測系統設計。實(shí)驗結果表明,所設計系統對于攻擊性節點(diǎn)位置信息的平均檢測精準度高達96.7%,能夠精準檢測攻擊性節點(diǎn)所處位置,增強攻擊性信息樣本的定向化捕獲與處理能力。

    Abstract:

    In order to accurately detect the location of attacking nodes and implement targeted capture processing on them, an IoT node capture attack detection system based on embedded and ASG technology is designed. Through the data message capture module, data message analysis module, and message processing module, the execution process from node definition to node real-time processing is optimized, and the IoT node object is debugged according to the operation of the attack detection and location module to realize the hardware design of the detection system. Use the encryption, decryption and key management results of the node information captured by the IoT host to determine the node authentication process and complete the design of the embedded IoT defense mechanism. According to the ASG technology implementation standard, collect worm samples, judge the feasibility of feature generation and distribution processing instructions, complete the formulation of key detection instructions, and implement the design of the Internet of Things node capture attack detection system based on embedded and ASG technology. The experimental results show that the average detection accuracy of the designed system for the location information of aggressive nodes is as high as 96.7%, which can accurately detect the location of aggressive nodes and enhance the directional capture and processing ability of aggressive information samples.

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葉小波.基于嵌入式及ASG技術(shù)的物聯(lián)網(wǎng)節點(diǎn)捕獲攻擊檢測系統計算機測量與控制[J].,2023,31(8):77-83.

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  • 收稿日期:2023-01-30
  • 最后修改日期:2023-03-20
  • 錄用日期:2023-03-20
  • 在線(xiàn)發(fā)布日期: 2023-08-22
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