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Real-Time BLE Proximity-Based LED Blinking with BleuIO: A Practical Guide

BleuIO, a versatile BLE USB dongle, simplifies BLE application development with its powerful AT commands and cross-platform compatibility. This tutorial demonstrates how to use BleuIO with Python to build a real-time BLE proximity-based…

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BleuIO, a versatile BLE USB dongle, simplifies BLE application development with its powerful AT commands and cross-platform compatibility. This tutorial demonstrates how to use BleuIO with Python to build a real-time BLE proximity-based LED control system.



In this example, we focus on monitoring the RSSI (Received Signal Strength Indicator) of a specific BLE device and controlling the LED blinking rate of BleuIO based on proximity. The closer the device, the faster the blinking rate. The script also ensures clean termination, turning off the LED when the program exits.



This tutorial uses the BleuIO Python library to showcase a practical use case. However, the concepts can be implemented in any programming language.






Devices and Tools Needed




  1. BleuIO Pro BLE USB Dongle

  2. Python Installed (Python 3.6 or newer recommended)

  3. BleuIO Python Library
    Install the library using
    pip install bleuio



  4. Source Code
    Get the complete source code from GitHub:
    GitHub Repository






Use Case: Real-Time LED Blinking Based on Proximity






Objective:




  1. Continuously monitor the RSSI value of a specific BLE device.

  2. Adjust the LED blinking rate of the BleuIO dongle based on the device’s proximity.

  3. Ensure the LED turns off when the script is terminated.






Workflow:




  1. Scan for BLE devices: Identify the target device using its MAC address.

  2. Read RSSI values: Fetch real-time signal strength data.

  3. Control LED: Adjust the blinking rate based on proximity:


    • Very Close: Fast blinking.

    • Close: Moderate blinking.

    • Far: Slow blinking.

    • Very Far: Very slow blinking.



  4. Graceful Exit: Turn off the LED when the script ends.






The Python Script



Below is the complete script for this project:




import time
import json
import atexit
from bleuio_lib.bleuio_funcs import BleuIO

rssi_value = None
dongle = None

def scan_callback(scan_input):
global rssi_value
try:
device_data = json.loads(scan_input[0])
if device_data.get("addr") == "[1]6B:C0:5C:BD:CF:14":
rssi_value = device_data["rssi"]
print(f"\nDevice Found! Address: {device_data['addr']}, RSSI: {rssi_value}")
except json.JSONDecodeError as e:
print(f"Error decoding JSON: {e}")
except Exception as e:
print(f"Unexpected error: {e}")

def send_led_command(dongle, rssi):
if rssi is not None:
if rssi > -40:
print(f"RSSI: {rssi} | Sending LED Command: 50/50")
dongle.at_led(toggle="T", on_period="50", off_period="50")
elif -60 <= rssi <= -40:
print(f"RSSI: {rssi} | Sending LED Command: 100/100")
dongle.at_led(toggle="T", on_period="100", off_period="100")
elif -90 <= rssi < -60:
print(f"RSSI: {rssi} | Sending LED Command: 200/200")
dongle.at_led(toggle="T", on_period="200", off_period="200")
else:
print(f"RSSI: {rssi} | Sending LED Command: 300/300")
dongle.at_led(toggle="T", on_period="300", off_period="300")
else:
print("No RSSI value available for LED command.")


def cleanup():
if dongle:
print("\n--- Turning off LED and cleaning up ---")
dongle.at_led(0)

# Main logic
def main():
global rssi_value, dongle
dongle = BleuIO()

atexit.register(cleanup)

dongle.register_scan_cb(scan_callback)

print("\n--- Starting BLE Task ---\n")

print("Setting device role to Central...")
central_response = dongle.at_central()

try:
while True:
print("\nStarting scan for 2 seconds...")
dongle.at_gapscan(2)
time.sleep(3)

send_led_command(dongle, rssi_value)

print("\nScan cycle completed. Restarting...\n")
time.sleep(1)
except KeyboardInterrupt:
print("\n--- Script Terminated by User ---")

# Run the main function
if __name__ == "__main__":
main()







How It Works




  1. Initialization: The script initializes the BleuIO dongle and sets it to Central role for scanning.

  2. Scan Callback: The scan_callback function extracts the RSSI value of the target device in real-time.

  3. LED Control: Based on the RSSI value:


    • RSSI > -40: Fast blinking (50ms on/off).

    • -60 <= RSSI <= -40: Moderate blinking (100ms on/off).

    • -90 <= RSSI < -60: Slow blinking (200ms on/off).

    • RSSI < -90: Very slow blinking (300ms on/off).



  4. Graceful Termination: The script turns off the LED when terminated with Ctrl + C.





Output








This example demonstrates how easy it is to use BleuIO for BLE applications. Whether you’re building proximity-based solutions or exploring BLE capabilities, BleuIO’s AT commands and Python library make it simple to get started.



Take this script, adapt it to your needs, and unlock the potential of BLE with BleuIO!

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Real-Time BLE Proximity-Based LED Blinking with BleuIO: A Practical Guide
id: 38a25775-3117-4566-b7d2-6b3c1b721602
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "Real-Time BLE Proximity-Based " ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Real-Time BLE Proximity-Based LED Blinki")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Real-Time BLE Proximity-Based LED Blinki*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Real-Time BLE Proximity-Based LED Blinki"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Real-Time BLE Proximity-Based LED Blinki.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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