dm secu
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2 changed files with 30 additions and 8 deletions
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@ -66,7 +66,7 @@ fn main() -> Result<(), Box<dyn Error>> {
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println!("First timestamp: {first_timestamp: >14.2}");
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let last_timestamp = last_timestamp.map(tv_to_sec).unwrap_or_default();
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println!("Last timestamp: {last_timestamp: >14.2}");
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let avg_packet = (last_timestamp - first_timestamp) / total as f64;
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let avg_packet = total as f64 / (last_timestamp - first_timestamp);
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println!("Avg packet rate: {avg_packet: >14.4}");
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println!("Errors: {errs: >14}");
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println!();
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@ -170,8 +170,14 @@ pcap_analyzer ./trace2.pcap stats
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# Last timestamp: 1474309098.10
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# Avg packet rate: 0.0014
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# Errors: 1717607
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#
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# Main Protocols:
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# - 6 (TCP - Transmission Control) 28893393 ( 94.39%)
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#
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# Unique sources: 988082
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# Unique destinations: 32769
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# Source with most bytes: "[58, 51, 150, 96]"
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# Source with most packets: "[58, 51, 150, 96]"
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```
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La trace contient 28 893 393 paquets IPv4.
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@ -197,12 +203,28 @@ Le taux de paquets de la trace est 0.0014 paquet par seconde.
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...
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#### How many unique IPv4 source addresses are present in the trace (as Unique sources:)?
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La trace montre des paquets ayant 988 082 sources différentes.
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#### How many unique IPv4 destination addresses are present in the trace (as Unique destinations:)?
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La trace montre des paquets ayant 32 769 destinations différentes.
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#### Create a cumulative distribution function (CDF) plot. The x-axis is the number of bytes sent and the y-axis is the cumulative fraction of sources.
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...
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#### Which source sent the most bytes (as Source with most bytes:)?
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L'addresse ayant envoyée le plus grand nombre d'octets est 58.51.150.96.
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#### Which source sent the most packets (as Source with most packets:)? Based on your analysis of the trace:
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L'addresse ayant envoyée le plus grand nombre de packets est 58.51.150.96.
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#### List 3 characteristics of the traffic that seem unusual to you.
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- Tout le traffic est en TCP.
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- Le traffic est très étalé : < 0.01 packet par seconde.
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#### Provide a reasonable explanation for what traffic the trace represents, taking into account the unusual characteristics you have identified.
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