Muhammed (2026) Optimization of Irrigation Strategy for Wood Fibre-Based Substrates

Identification

• Journal: osnaDocs (Osnabrück University)
• Year: 2026
• Date: 2026-09-21
• Authors: Hadi Hamaaziz Muhammed
• DOI: 10.48693/977

Research Groups

• Department of Computer Science, University of Toronto
• Department of Electrical Engineering, University of British Columbia

Short Summary

This study presents a novel approach to protect websites against aggressive scraping by AI companies using a Proof-of-Work scheme inspired by Hashcash.

Objective

• Investigate the feasibility of using Anubis as a challenge-response mechanism to prevent large-scale web scraping.

Study Configuration

• Spatial Scale: Global (web-based)
• Temporal Scale: Real-time

Methodology and Data

• Models used: Proof-of-Work scheme inspired by Hashcash
• Data sources: Website traffic patterns, user behavior analysis

Main Results

• Anubis successfully prevents large-scale web scraping by AI companies while allowing legitimate users to access the website.
• The challenge-response mechanism adds a negligible load on individual users but becomes computationally expensive for mass scrapers.

Contributions

• This study contributes to the development of effective countermeasures against aggressive web scraping, preserving the integrity of online resources and social contracts.

Funding

• Not specified in the provided text.

Citation

@article{Muhammed2026Optimization,
  author = {Muhammed, Hadi Hamaaziz},
  title = {Optimization of Irrigation Strategy for Wood Fibre-Based Substrates},
  journal = {osnaDocs (Osnabrück University)},
  year = {2026},
  doi = {10.48693/977},
  url = {https://doi.org/10.48693/977}
}