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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paseostun.6o5u2a4t.s1

ID: 2963742109

Label: attack_stun

Sample length: 65,320ms

freqSweepCasetaMetalica.6nugoqug

ID: 2963742099

Label: attack_sweep

Sample length: 180,000ms

Gran Via.6oo5nnk7

ID: 2963742122

Label: noise

Sample length: 600,000ms

attack_floodpaseovuelta.s2

ID: 2963742102

Label: attack_flood

Sample length: 94,620ms

Pulsed5m.6nucei92

ID: 2963742092

Label: attack_pulse

Sample length: 180,000ms

packFlood5m.6nuajstk

ID: 2963742090

Label: attack_flood

Sample length: 180,000ms

packetFlood10cm.6nu422u6

ID: 2963742084

Label: attack_flood

Sample length: 180,000ms

attack_tonenCasetaMetalicanoPot.6nuh64h6

ID: 2963742100

Label: attack_tone

Sample length: 24,880ms

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

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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	256
No. of clones	0