Albertokeroro / Edge-AI-Jamming-Detection Public

Target: customHeltecv4 Clone this project

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Edge-AI-Jamming-Detection

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Data (58 samples)

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preambleStun10cm.6nu4tk0v

ID: 2963742087

Label: attack_stun

Sample length: 180,000ms

paseosweep.6o5utnkj.s1

ID: 2963742111

Label: attack_sweep

Sample length: 71,060ms

freqSweepCasetaMetalica.6nugoqug

ID: 2963742099

Label: attack_sweep

Sample length: 180,000ms

CWTone5m.6nuasoe9

ID: 2963742091

Label: attack_tone

Sample length: 180,000ms

paseoTone.6o5tb3ce.s2

ID: 2963742104

Label: attack_tone

Sample length: 18,800ms

paseosweep.6o5utnkj.s2.s2

ID: 2963742124

Label: attack_sweep

Sample length: 13,980ms

cleanthunderstorm.6nu6agbk

ID: 2963742089

Label: noise

Sample length: 300,000ms

CWToneCasetaMetalica.6nufqo5c

ID: 2963742096

Label: attack_tone

Sample length: 180,000ms

Model accuracy, JammerA+B Test (Unoptimized (float32))

View 1 other experiment

Validation set

94.9%

Test set

87.4%

On-device performance (customHeltecv4, Quantized (int8))

Latency

9 ms.

Peak RAM usage

1.4K

Flash usage

14.6K

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Dataset summary

Data collected

2h 51m 46s

Sensor

Strength @ 50Hz

Labels

attack_flood, attack_pulse, attack_stun, attack_sweep, attack_tone, noise

Project info

Project ID	900708
Project version	2
License	3-Clause BSD
No. of views	516
No. of clones	0