Naslov
Phishing as a security threat: a bibliometric analysis

Autori
Mirjana Pejić Bach, Tanja Kamenjarska, Ivan Jajić

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Abstracts of FEB Zagreb 13th International Odyssey Conference on Economics and Business / - , 2022, 43-43

Skup
FEB Zagreb 13th International Odyssey Conference on Economics and Business

Mjesto i datum
Dubrovnik, Hrvatska, 1-4.06.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bibliometric analysis, phishing, machine learning, VOSviewer

Sažetak
Phishing can be seen as a security threat aimed at identity theft. A fraudulent Website impersonates a reputable one to get personal data such as passwords, account information, or credit card numbers. Spam emails squander users' time, take a great deal of network traffic, and could include malware in the form of executable files. On the other hand, phishing emails fraudulently claim consumers' personally identifiable information to assist in identity theft and are riskier. A phishing email is one of the most serious issues on the Internet, causing monetary loss for businesses and annoyance for individual users. Several methods for filtering phishing emails have been devised. However, the problem remains unsolved. Phishing attackers often carry out their activities by sending carefully crafted communications to users (referred to as social engineering messages) designed to convince them to divulge personal details that the scammer will utilize to obtain unauthorized access to the user's account. In the constellation of such circumstances, this paper aims to analyze the theoretical and empirical research conducted in the field of phishing emails and machine learning to determine its trends and suggest research opportunities for further investigation. The search results from the Web of Science (WoS) database were extracted using the VOSviewer software. 136 articles related to phishing emails and machine learning were analyzed and presented using a mapping technique. The results indicate that most of the research in the field is conducted in countries in Asia, and the majority of the publications were published in 2020, or 16.91%. Additionally, it can be observed that researchers dominantly focus on research areas such as computer science (91.18%). This may state that scientific knowledge concerning phishing emails and machine learning has received little attention. As a result, it may allow other scholars to perform trend-related research.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA