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    <loc>https://www.ioxa.org/library/evaluation-of-local-llms-for-network-traffic-packet-analysis</loc>
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    <lastmod>2026-07-13</lastmod>
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      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Figure 1. Research Process</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/200215b7-dc8b-4143-96b7-1081ba8e38f9/Screenshot+2026-07-12+at+9.26.28%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Prompt 1: Prompt Structure Used in the Llama 3.1 analysis</image:caption>
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    <image:image>
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      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Table 1. Summary of results of llama analysis</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/033aaa99-efa5-4445-b4a0-263e801557a9/Screenshot+2026-07-12+at+9.35.37%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Table 2. Llama analysis for single packets</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/5a90c5a7-8b5a-497c-b899-284db6d5eba4/Screenshot+2026-07-12+at+10.11.42%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Table 3. Llama 3.1 analysis using multiple packets</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/09dbe486-fd2d-4c38-b632-cf25b306ce0a/Screenshot+2026-07-12+at+10.16.15%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Prompt 2: LLM comparison (experiments 1-4)</image:caption>
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    <image:image>
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      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Prompt 3: LLM comparison (experiments 5-8)</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/4a3312ec-105c-4ad1-bd2e-dea8352f670b/Screenshot+2026-07-12+at+10.20.38%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Figure 2: Impact of hexadecimal representation and encrypted payload on the LLM analysis</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/1c7996e8-f3b2-468b-b2c4-c846977a3f4d/Screenshot+2026-07-12+at+10.23.11%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>Table 4: Attack Identification (experiments 5-8)</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69336bb30641f0626a869055/29ed5ddb-e5a4-49a1-a8ca-f83ed8b8ca9b/Screenshot+2026-07-12+at+10.26.14%E2%80%AFPM.png</image:loc>
      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>FIgure 3: Attack identification and attack type categorization</image:caption>
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    <image:image>
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      <image:title>Library - Evaluation of local llms for network traffic packet analysis - Make it stand out</image:title>
      <image:caption>FIgure 4: Each prompt is rated based on attack identification (A) and five assertions: true findings (TF), false findings (FF), attack vector (AV) identification, correct reasoning (CR), and false reasoning (FR). True statements are indicated with a cross.</image:caption>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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