Unmanned Aircraft Systems (UASs) are increasingly being integrated into the life-cycle management of critical infrastructure, including tasks such as inspection, maintenance, safety, and surveillance. However, legal concerns such as visual privacy must be addressed resulting in the need to explore anonymization techniques. Specifically, in cases where law enforcement requires access to the original data, reversible anonymization necessitates robust, complex and secure solutions, ensuring that only authorized individuals with proper credentials can recover the data. In this paper, we introduce two novel fragile watermarking approaches with self-recovery, HiLoSpatial and HiResSpatial, that are tailored towards low-latency execution on UAS platforms, and that enable reconstruction from downstream anonymization steps. Our experiments show that HiLoSpatial and HiResSpatial match and in most cases surpass related work with regards to security, image integrity, tamper detection and recovery, while significantly outpacing the state of the art with respect to latency. These results highlight the suitability of our approaches for real-time deployment in UASs.

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Fast and Robust Fragile Watermarking Enabling Real-Time Self-recovery for UAS

  • Laurens Le Jeune,
  • Anna Hristoskova,
  • Farhad Aghili

摘要

Unmanned Aircraft Systems (UASs) are increasingly being integrated into the life-cycle management of critical infrastructure, including tasks such as inspection, maintenance, safety, and surveillance. However, legal concerns such as visual privacy must be addressed resulting in the need to explore anonymization techniques. Specifically, in cases where law enforcement requires access to the original data, reversible anonymization necessitates robust, complex and secure solutions, ensuring that only authorized individuals with proper credentials can recover the data. In this paper, we introduce two novel fragile watermarking approaches with self-recovery, HiLoSpatial and HiResSpatial, that are tailored towards low-latency execution on UAS platforms, and that enable reconstruction from downstream anonymization steps. Our experiments show that HiLoSpatial and HiResSpatial match and in most cases surpass related work with regards to security, image integrity, tamper detection and recovery, while significantly outpacing the state of the art with respect to latency. These results highlight the suitability of our approaches for real-time deployment in UASs.