SOFTWARE SOLUTION TO IDENTIFY USERS BEHIND TELEGRAM, WHATSAPP AND INSTAGRAM BASED DRUG- TRAFFICKING

Abstract: Drug trafficking is a serious social and security problem, and social media and instant messaging applications can be misused for illegal drug-related communication. Telegram, WhatsApp and Instagram provide features such as private communication, groups, temporary accounts, coded language, emojis and multiple online identities, which can make manual identification of suspicious activities difficult. This research proposes a software-based decision-support solution for identifying and analyzing potential drug-trafficking indicators using only publicly available or lawfully obtained digital data. The proposed approach combines Natural Language Processing (NLP), Machine Learning (ML), Cybersecurity, data analysis and Blockchain-based integrity mechanisms. NLP techniques can analyze text, keywords, coded terms, captions and comments, while Machine Learning (ML) techniques can be used to classify activities as Normal, Suspicious and High-Risk. Communication-pattern and cross-platform analysis can provide additional indicators of possible relationships among accounts. A risk score can help authorized investigators prioritize cases for further human review. Cybersecurity controls such as authentication, access control, encryption and secure storage are proposed to protect sensitive investigation data. Blockchain and hashing support evidence-integrity verification. The proposed solution is not intended to automatically identify a person as guilty; rather, it provides investigative leads and risk indicators that must be verified by authorized investigators. The research therefore focuses on supporting lawful, secure and human-verified analysis of potential drug-trafficking activities across multiple digital platforms.

Keywords: Drug Trafficking Detection, Social Media Analysis, Natural Language Processing (NLP), Machine Learning (ML), Cybersecurity, Blockchain, Risk Score, Digital Evidence, Telegram, WhatsApp, Instagram.