Dark web exploitation of women and children: Understanding the phenomenon and combating its impact
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.60Keywords:
Dark web, Exploitation, Human trafficking, Child pornography, Women, Children, Law enforcement, Prevention, Intervention, Technology.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The hidden nature of the dark web makes it easier to exploit vulnerable groups, particularly women and children. This research explores how they are exploited on the dark web, including what causes it, common ways it happens, the difficulties law enforcement encounters, and steps to prevent and address it. By combining existing research, case studies, and expert opinions, this work aims to provide a comprehensive understanding of the issue and suggest practical solutions. While the internet has brought positive changes, its hidden parts like the Dark Web pose significant risks to vulnerable people. This study sheds light on the dangers women and children face online, such as human trafficking, child exploitation, and cyber bullying. Its goal is to safeguard their online safety and well-being by promoting prevention and policy adoption.Abstract
How to Cite
Downloads
Similar Articles
- P. Pattunnarajam, Janani G, A. Vijayaraj, Sathiya Priya S, Enhanced routing strategy of wireless sensor network based on fifth generation communication technology , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Kanthalakshmi S, Nikitha M. S, Pradeepa G, Classification of weld defects using machine vision using convolutional neural network , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- K. Arunkumar, K. R. Shanthy, S. Lakshmisridevi, K. Thilagam, FR-CNN: The optimal method for slicing fifth-generation networks through the application of deep learning , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Finney D. Shadrach, Harsshini S, Darshini R, Grapevine leaf species and disease detection using DNN , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- R. Gomathi, Balaji V, Sanjay R. Pawar, Ayesha Siddiqua, M. Dhanalakshmi, Ravi Rastogi, Ensuring ethical integrity and bias reduction in machine learning models , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Vishakha Khambhati, Rajan Kumar Singh, Assessment of Respiratory Dynamics from ECG during Physical Exertion , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Adedotun Adedayo F, Odusanya Oluwaseun A, Adesina Olumide S, Adeyiga J. A, Okagbue, Hilary I, Oyewole O, Prediction of automobile insurance fraud claims using machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Anurag B. Gohain1, Devanand Mishra, Vithou U Mera, Content analysis of academic library website with special reference to the central universities in Northeast India , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Reena Lawrence, Reena Lawrence, Kapil Lawrence, A NEW GLYCOSIDE FROM THE BUDS OF CLOVE GROWN IN NORTH INDIAN PLAINS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
<< < 11 12 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- G Gayathri Devi, R Radha, Smart alerting services: Safeguarding women and children in the digital age , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
