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Summary

Securing Internet of Video Things (IoVT) data is crucial. This study found that Advanced Encryption Standard (AES) encryption minimally impacts video latency for remotely operated vehicles (ROVs), ensuring real-time performance for secure remote control.

Keywords:
AESFPGAIoRTIoTIoVTLabVIEW FPGARoVmarinevideo

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cybersecurity

Background:

  • The Internet of Things (IoT) presents significant security and privacy challenges.
  • The Internet of Video Things (IoVT) specifically requires robust security for sensitive video streams.
  • Remotely Operated Vehicles (ROVs) equipped with cameras are critical IoVT nodes demanding secure, real-time data transmission.

Purpose of the Study:

  • To evaluate the latency impact of implementing Advanced Encryption Standard (AES) encryption on IoVT video streams.
  • To assess the feasibility of real-time secure video communication for marine ROV applications.
  • To compare latency under different AES block lengths and transmission protocols.

Main Methods:

  • Utilized a LabVIEW Field Programmable Gate Arrays (FPGAs)-based bump-in-the-wire (BITW) secure core for AES encryption.
  • Implemented a software architecture allowing dynamic enabling/disabling of AES encryption for video transmission.
  • Measured video latency using H.264 and MJPEG encoding over TCP and UDP protocols with varying AES block sizes (128, 256, 512 bytes).

Main Results:

  • The integration of AES encryption showed minimal influence on the video feedback performance of the IoVT node.
  • Latency measurements confirmed that real-time constraints critical for ROV piloting are maintained with encryption enabled.
  • Performance was evaluated across different AES block lengths, encoding schemes, and transmission protocols.

Conclusions:

  • AES encryption is a viable solution for securing IoVT video streams without significantly degrading real-time performance.
  • The findings support the deployment of secure communication protocols for ROV remote control and piloting.
  • This research contributes to addressing the critical information security challenges within the growing IoVT landscape.