作者
Vinod Mahor, Romil Rawat, Anil Kumar, Mukesh Chouhan, Rabindra Nath Shaw, Ankush Ghosh
发表日期
2021/9/24
研讨会论文
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON)
页码范围
1-6
出版商
IEEE
简介
The Industrial Internet of Things (IIoT) also referred as Cyber Physical Systems (CPS) as critical elements, expected to play a key role in Industry 4.0 and always been vulnerable to cyber-attacks and vulnerabilities. Terrorists use cyber vulnerability as weapons for mass destruction. The dark web's strong transparency and hard-to-track systems offer a safe haven for criminal activity. On the dark web (DW), there is a wide variety of illicit material that is posted regularly. For supervised training, large-scale web pages are used in traditional DW categorization. However, new study is being hampered by the impossibility of gathering sufficiently illicit DW material and the time spent manually tagging web pages. We suggest a system for accurately classifying criminal activity on the DW in this article. Rather than depending on the vast DW training package, we used authorized regulatory to various types of illicit activity for …
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V Mahor, R Rawat, A Kumar, M Chouhan, RN Shaw… - 2021 IEEE 4th International Conference on Computing …, 2021