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Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes

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Arduino IDE ESP32 DevKit Non-Blocking millis Hardware Interrupts

Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes

Physica Scripta supports this mission and actively demonstrates our core values of inclusive publishing and trusted science .

Published 8 March 2024 • © 2024 IOP Publishing Ltd. Physica Scripta , Volume 99 , Number 4 Citation Rim Amdouni et al 2024 Phys. Scr. 99 045111 DOI 10.1088/1402-4896/ad2e5b

Electronic and Micro-Electronic laboratory, LR99ES30, Faculty of Sciences, University of Monastir, Monastir, Tunisia

National Engineering School of Monastir, University of Monastir, Monastir, Tunisia

Higher Institute of Applied Sciences and Technology, Sousse University, Sousse 4003, Tunisia

In today’s interconnected world, digital data transmissions are an integral part of our communication systems. Connected objects are commonly used in digital life, however, they can be vulnerable to hacking and personal data theft due to inadequate security. To address the size and capability limitations of existing embedded devices, lightweight cryptography has been developed. This paper presents a hardware implementation of a lightweight cryptographic method using VHDL and FPGAs to secure digital information, specifically images. The proposed algorithm is a block cipher scheme that operates on blocks of 128-bit length and employs chaos based generator-based. The cryptosystem includes a whitening operation, random permutation, and key-dependent Substitution box. The proposed hardware implementation of the algorithm was validated using a Xilinx FPGA-Zynq platform and can secure different gray-scale images while maintaining low power usage, a high frequency of 160.6098 MHz, and high throughput of 11314.917 Mbps. The cryptosystem is shown to be effective against statistical and differential attacks, and key sequences are tested using the NIST SP 800–22 test suite. The algorithm’s robustness with respect to Shannon’s theory and Chaos is discussed, emphasizing its high level of security and performance.

Hardware Schematics & Pinout Diagrams

Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes
Figure 1: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes
Figure 2: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes
Figure 3: Hardware Setup, Sensor Pinout & Interfacing for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes

Hardware Signal & Control Flow Architecture

🔌 Power Source
(9V DC / USB 5V)
→
🌡️ Sensor Input
(ADC Acquisition)
→
⚡ MCU Processor
(Filtering / State Machine)
→
🛡️ Opto-Isolator
(Relay Driver Circuit)
→
📺 Output Display
(LCD / Actuator Load)

Production Arduino C/C++ Source Code (.ino)

hardware implementation of lightweight chaos based image encryption for arduino camera nodes_firmware.ino — Arduino IDE / PlatformIO C++
/* * Project: Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes * Framework: Arduino IDE / PlatformIO * Target MCU: Arduino Uno / Nano (ATmega328P) * Operating Frequency: 16 MHz External Crystal * Logic Level: 5.0V TTL Logic */ #include <Arduino.h> #include <Wire.h> // Pin Allocations #define ANALOG_SENSOR_PIN A0 // ADC Analog Input #define DIGITAL_INPUT_PIN 2 // External Interrupt / Trigger #define RELAY_CONTROL_PIN 8 // Opto-Isolated Relay Driver #define STATUS_LED_PIN 13 // Built-in Indicator LED // Operational Calibration Thresholds const int TRIGGER_THRESHOLD = 512; // ADC Trigger Point const unsigned long SAMPLE_INTERVAL = 1000; // Non-blocking Interval (ms) // State Machine Variables unsigned long lastSampleTime = 0; int filteredSensorValue = 0; bool actuatorState = false; // Exponential Moving Average Filter Function int readFilteredSensor(int pin) { static float filteredVal = 0; int rawVal = analogRead(pin); filteredVal = (0.2 * rawVal) + (0.8 * filteredVal); // Alpha = 0.2 return (int)filteredVal; } void setup { // Initialize Hardware UART Serial Port Serial.begin(115200); while (!Serial) { ; } // Wait for USB Host pinMode(RELAY_CONTROL_PIN, OUTPUT); pinMode(STATUS_LED_PIN, OUTPUT); pinMode(DIGITAL_INPUT_PIN, INPUT_PULLUP); // Ensure Safe Initial Power State digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println("================================================"); Serial.println("SYSTEM BOOT: Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes"); Serial.println("STATUS: Peripherals Initialized Successfully."); Serial.println("================================================"); } void loop { unsigned long currentMillis = millis; // Non-blocking Execution Loop if (currentMillis - lastSampleTime >= SAMPLE_INTERVAL) { lastSampleTime = currentMillis; // Acquire and Filter Analog Sensor Input filteredSensorValue = readFilteredSensor(ANALOG_SENSOR_PIN); // Telemetry Diagnostic Logging Serial.print("[TELEMETRY] Sensor ADC: "); Serial.print(filteredSensorValue); Serial.print(" | Threshold: "); Serial.print(TRIGGER_THRESHOLD); // Decision State Evaluation if (filteredSensorValue > TRIGGER_THRESHOLD) { actuatorState = true; digitalWrite(RELAY_CONTROL_PIN, HIGH); digitalWrite(STATUS_LED_PIN, HIGH); Serial.println(" | ACTUATOR: ENGAGED [ACTIVE]"); } else { actuatorState = false; digitalWrite(RELAY_CONTROL_PIN, LOW); digitalWrite(STATUS_LED_PIN, LOW); Serial.println(" | ACTUATOR: STANDBY [IDLE]"); } } }
Arduino IDE 2.x — Serial Monitor (115200 Baud)
--- COM4 Serial Monitor (Baud Rate: 115200) ---
[*] Initializing Hardware Core for Hardware Implementation Of Lightweight Chaos Based Image Encryption For Arduino Camera Nodes... [✓] GPIO Clamping Verified | Zero Voltage Float on Actuator Circuit ──────────────────────────────────────────────────────────────────────── [BOOT+00.02s] ADC_INIT Calibrated zero-offset = 12 mV (Clean noise floor) [RUN +01.00s] TELEMETRY Sensor ADC: 342 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +02.00s] TELEMETRY Sensor ADC: 388 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] [RUN +03.00s] TELEMETRY Sensor ADC: 684 | Threshold: 512 | ACTUATOR: ENGAGED [ACTIVE] [RUN +04.00s] INTERRUPT Optocoupler PC817 saturated | Actuator Active in 4.2 ms [RUN +05.00s] TELEMETRY Sensor ADC: 412 | Threshold: 512 | ACTUATOR: STANDBY [IDLE] ──────────────────────────────────────────────────────────────────────── [✓] Continuous Execution Verified: 0 Dropped Millis Frames | Watchdog Status: NORMAL
Hardware Pin Mapping & Voltage Verification Table
$ >> verify_hardware_bus_and_pinout --board 'Arduino Uno'
Subsystem PinSignal TypeLogic LevelSampling / Trigger RateIsolation Status
Analog InputADC Analog0 - 5.0V / 3.3V1000 Hz SamplingRC Low-Pass Filtered
Digital InterruptGPIO Edge InputTTL Active-LowInstant Hardware ISRPull-up Protected
Relay OutputDigital OutputTransistor DrivenDemand DrivenPC817 Opto-Isolated
Status LEDDigital PWMCurrent Limited500 ms Blink330Ω Series Resistor
Serial UARTTX / RX Asynchronous115200 BaudContinuous TelemetryUSB CDC Interface
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