@inproceedings{e43f3e39c3ed4d7c95bed9d857337fff,
title = "Detecting advance fee fraud using NLP bag of word model",
abstract = "Advance Fee Fraud (AFF) is a form of Internet fraud prevalent within the Cybercrimes domain in literature. Evidence shows that huge financial assets are stolen from the global economy as a result of AFF. Consequently, this paper presents a fraudulent email classifier (FEC) that detects and classifies an email as fraudulent or non-fraudulent using Natural Language Process (NLP) model referred to as Bag-of-Words (BoW). The classifier is designed and trained to detect and classify AFF that originate from known sources using Nigeria as a Case study. Dataset is obtained and used for the training while testing the classifier logs. Experimentally, the classifier was trained using various machine learning algorithms with BoW generated as predictors. By selecting the best algorithms, the classifier was tested and found to perform satisfactorily.",
keywords = "Advance Fee Fraud, Internet Fraud, Machine Learning Bag-of-Words",
author = "Muhammad Hamisu and Ali Mansour",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA) ; Conference date: 23-02-2021 Through 25-02-2021",
year = "2021",
month = may,
day = "25",
doi = "10.1109/cybernigeria51635.2021.9428793",
language = "English",
isbn = "9781665444095",
series = "Proceedings of the 2020 IEEE 2nd International Conference on Cyberspace, CYBER NIGERIA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "94--97",
booktitle = "Proceedings of the 2020 IEEE 2nd International Conference on Cyberspace, CYBER NIGERIA 2020",
address = "United States",
}