A review of financial fraud detection in e-commerce using machine learning
A Narayan, SD Madhu Kumar, AM Chacko - International Conference on …, 2022 - Springer
Online shop**, banking, financial institutions, and government all use e-commerce.
Fraudulent conduct is seen in a variety of industries and in our daily lives. The key to …
Fraudulent conduct is seen in a variety of industries and in our daily lives. The key to …
A comprehensive and long-term evaluation of tor v3 onion services
The version 3 (V3) Tor onion service protocol deeply hides onion service domain names to
improve anonymity. Existing onion service analysis methods cannot be used any more to …
improve anonymity. Existing onion service analysis methods cannot be used any more to …
Keyword-Based Information Retrieval Model for the Dark Web
A Dalvi, H Mehta, D Mistry, S Mule… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Due to its encryption networks and websites that cannot be found via traditional search
engines, searching for specific information on the dark web poses unique challenges. The …
engines, searching for specific information on the dark web poses unique challenges. The …
Supervised machine learning for classification mining and ranking of illegal web contents= Aprendizaje automático supervisado para la clasificación, extracción de …
MW Al Nabki - 2019 - buleria.unileon.es
In this thesis, we propose new algorithms, methods, and datasets that can be used to
classify, to mine information, and rank web domains or similar resources containing text …
classify, to mine information, and rank web domains or similar resources containing text …