Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection. (arXiv:2110.06025v2 [cs.CR] UPDATED)

With increasingly more sophisticated phishing campaigns in recent years,
phishing emails lure people using more legitimate-looking personal contexts. To
tackle this problem, instead of traditional heuristics-based algorithms, more
adaptive detection systems such as natural language processing (NLP)-powered
approaches are essential to understanding phishing text representations.
Nevertheless, concerns surrounding the collection of phishing data that might
cover confidential information hinder the effectiveness of model learning. We
propose a decentralized phishing email detection framework called Federated
Phish Bowl (FedPB) which facilitates collaborative …

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