mlsanityData to 14 Oct 2026

A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems

arXiv 2307.06659 ↗First posted 13 Jul 2023cs.CR cs.CV cs.CYcited by 1

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Abstract (arXiv)

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors.The ability of BC can help in offering decentralized and secure data storage, while CV allows machines to learn and understand visual data. This integration of the two technologies holds massive promise for developing innovative applications that can provide solutions to the challenges in various sectors such as supply chain management, healthcare, smart cities, and defense. This review explores a comprehensive analysis of the integration of BC and CV by examining their combination and potential applications. It also provides a detailed analysis of the fundamental concepts of both technologies, highlighting their strengths and limitations. This paper also explores current research efforts that make use of the benefits offered by this combination. The effort includes how BC can be used as an added layer of security in CV systems and also ensure data integrity, enabling decentralized image and video analytics using BC. The challenges and open issues associated with this integration are also identified, and appropriate potential future directions are also proposed.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 20 of its 174 references that are in the map. First posted on arXiv 13 Jul 2023.

Builds on

20 of 174 references.

References · 20

  1. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  2. 2019Object Detection in 20 Years: A Surveycited by 531
  3. 2018Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Surveycited by 460
  4. 2018Adversarial Attacks and Defences: A Surveycited by 259
  5. 2019Does Object Recognition Work for Everyone?cited by 151
  6. 2022Vision Transformers in Medical Computer Vision -- A Contemplative Retrospectioncited by 22
  7. 2021Learning to Adversarially Blur Visual Object Trackingcited by 14
  8. 2019It GAN DO Better: GAN-based Detection of Objects on Images with Varying Qualitycited by 12
  9. 2021Smart Traffic Monitoring System using Computer Vision and Edge Computingcited by 8
  10. 2020Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challengescited by 6
  11. 2021Blockchain for Edge of Things: Applications, Opportunities, and Challengescited by 6
  12. 2021Monitoring crop phenology with street-level imagery using computer visioncited by 6
8 more
  1. 2022Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision Pollinationcited by 6
  2. 2017An Amateur Drone Surveillance System Based on Cognitive Internet of Thingscited by 5
  3. 2020A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directionscited by 5
  4. 2020Reconfigurable Cyber-Physical System for Critical Infrastructure Protection in Smart Cities via Smart Video-Surveillancecited by 4
  5. 2020Recent advances in Blockchain Technology: A survey on Applications and Challengescited by 2
  6. 2015Trends in crypto-currencies and blockchain technologies: A monetary theory and regulation perspectivecited by 1
  7. 2022UAS Imagery and Computer Vision for Site-Specific Weed Control in Corncited by 1
  8. 2023Wildfire Smoke Detection with Computer Visioncited by 1

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