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Multi-sensor network tracking research utilizing searchable encryption algorithm in the cloud computing environment.

Xiaoling Sun1, Shanshan Li1

  • 1School of Information Engineering, Institute of Disaster Prevention, Langfang, Hebei, China.

Peerj. Computer Science
|July 6, 2023
PubMed
Summary
This summary is machine-generated.

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This study introduces a new searchable encryption scheme for cloud edge computing, enhancing secure data access and efficient multi-sensor data retrieval. The method significantly improves search speed and reduces storage overhead, addressing data security challenges in cloud environments.

Area of Science:

  • Computer Science
  • Cybersecurity
  • Cloud Computing

Background:

  • Multi-sensor data integration presents significant data security challenges during cloud transmission and storage.
  • Existing searchable encryption algorithms often fail to address the data explosion and access control issues in cloud environments.
  • Current encrypted cloud storage solutions may lack efficient verification mechanisms and lead to wasted computing resources.

Purpose of the Study:

  • To propose a lightweight, fine-grained searchable encryption scheme for cloud edge computing environments.
  • To enhance secure data access and efficient searching in multi-sensor networks.
  • To address data security and computational efficiency concerns in cloud-based data processing.

Main Methods:

  • Developed a searchable encryption scheme using bilinear pairs for ciphertext and search trapdoor generation on terminal devices.
Keywords:
Cloud computingEdge computingNetworking trackingSearchable encryption algorithmVerifiability

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  • Integrated access policies to control ciphertext search permissions.
  • Offloaded complex computations to edge devices, enabling encryption and trapdoor generation on auxiliary terminal devices.

    • Main Results:

    • Achieved approximately 62% improvement in data retrieval efficiency.
    • Reduced storage overhead for public key, ciphertext index, and verifiable searchable ciphertext by 50%.
    • Effectively mitigated delays in data transmission and computation processes.

    Conclusions:

    • The proposed scheme offers a practical solution for secure and efficient data searching in cloud edge environments.
    • The method enhances data security, accelerates computing speed, and improves retrieval efficiency for multi-sensor tracking.
    • This approach effectively addresses the limitations of existing searchable encryption methods in handling large-scale cloud data.