Blockchain-Enabled Solutions to Identify Users behind Drug Trafficking on Encrypted Platforms


Authors : Kishore Kumar M; Moulia Vasan G; Naveen Kumar P; S. Shanthi

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/89xxza6f

Scribd : https://tinyurl.com/bdcm77yd

DOI : https://doi.org/10.38124/ijisrt/25mar1271

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Abstract : The increasing use of encrypted messaging platforms such as Telegram, WhatsApp, and Instagram has facilitated illegal activities, including drug trafficking. This paper explores a blockchain-based approach to enhance law enforcement capabilities in identifying and tracking individuals engaged in such activities. The system integrates blockchain analytics, AI-driven behavior analysis, and cybersecurity tools to trace cryptocurrency transactions, monitor suspicious content, and provide a tamper-proof evidence management system. The proposed solution ensures privacy compliance while enhancing investigation capabilities.

References :

  1. Computational approaches to detect illicit drug ads and find vendor communities within social media platforms Fengpan Zhao, Pavel Skums, Alex Zelikovsky, Eric L. Sevigny, Monica Haavisto Swahn, Sheryl M. Strasser, Yan Huang, Yubao Wu published on 2020
  2. Detecting Illegal Drug Ads and Suppliers across Social Media
  3. Bessem Zaabar, Omar Cheikhrouhou, Faisal Jamil, Meryem Ammi, Mohamed Abid published on 2021
  4. Computational approaches to detect illicit drug ads and find vendor communities within social media platforms Rula Almadadha 2024
  5. Detecting Illegal Drug Ads and Suppliers across Social Media
  6. Bessem Zaabar, Omar Cheikhrouhou, Faisal Jamil, Meryem Ammi, Mohamed Abid published on 2021
  7. Computational approaches to detect illicit drug ads and find vendor communities within social media platforms Sanjib K Deka, Subhasish Goswami, Abhinav Anand published on 2020
  8. Detecting Illegal Drug Ads and Suppliers across Social Media
  9. Muhammad Umar Javed, Mubariz Rehman, Nadeem Javaid, Abdulaziz Aldegheishem, Nabil Alrajeh, Muhammad Tahir published on 2020

The increasing use of encrypted messaging platforms such as Telegram, WhatsApp, and Instagram has facilitated illegal activities, including drug trafficking. This paper explores a blockchain-based approach to enhance law enforcement capabilities in identifying and tracking individuals engaged in such activities. The system integrates blockchain analytics, AI-driven behavior analysis, and cybersecurity tools to trace cryptocurrency transactions, monitor suspicious content, and provide a tamper-proof evidence management system. The proposed solution ensures privacy compliance while enhancing investigation capabilities.

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