Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0.

Autor:	Gupta, Brij B., Tewari, Aakanksha, Cvitić, Ivan, Peraković, Dragan, Chang, Xiaojun
Předmět:	ARTIFICIAL intelligence SPAM email INDUSTRY 4.0 INTERNET of things PHISHING
Zdroj:	Wireless Networks (10220038); Jan2022, Vol. 28 Issue 1, p493-503, 11p
Abstrakt:	In this paper, we introduce an approach to secure IoT devices from unsolicited emails by using certain AI-based features and clustering in real-time. We propose a novel approach that first filters the unwanted emails from the incoming traffic and then classifies them into spam and phishing for Internet of Things (IoTs) based systems in industry 4.0. The AI mechanism collects and analyzes emails to detect multiple features that identify patterns for classification. We divided our incoming data into batches and each batch was classified based on knowledge gained from previous batch's classification. We tested our results with a number of classifiers and results show that our approach gives highly accurate classification. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink