Pregled bibliografske jedinice broj: 1121984
Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0
Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0 // Wireless networks, 28 (2022), 493-503 doi:10.1007/s11276-021-02619-w (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1121984 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Artificial intelligence empowered emails classifier
for Internet of Things based systems in industry 4.0
Autori
Gupta, B. Brij ; Tewari, Aakanksha ; Cvitić, Ivan ; Peraković, Dragan ; Chang, Xiaojun
Izvornik
Wireless networks (1022-0038) 28
(2022);
493-503
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Spam ; Phishing ; Incremental clustering ; Industry 4.0 ; Classifier ; Internet of Things
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus