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BEC Defender: QR Code-Based Methodology for Prevention of Business Email Compromise (BEC) Attacks.
Papathanasiou, Anastasios; Liontos, George; Paparis, Georgios; Liagkou, Vasiliki; Glavas, Euripides.
Afiliação
  • Papathanasiou A; Cyber Crime Division, Hellenic Police, 173 Alexandras Avenue, 11522 Athens, Greece.
  • Liontos G; Department of Informatics and Telecommunications, University of Ioannina, Kostaki Artas, 47150 Arta, Greece.
  • Paparis G; Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.
  • Liagkou V; Independent Researcher, 10678 Athens, Greece.
  • Glavas E; Department of Informatics and Telecommunications, University of Ioannina, Kostaki Artas, 47150 Arta, Greece.
Sensors (Basel) ; 24(5)2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38475211
ABSTRACT
In an era of ever-evolving and increasingly sophisticated cyber threats, protecting sensitive information from cyberattacks such as business email compromise (BEC) attacks has become a top priority for individuals and enterprises. Existing methods used to counteract the risks linked to BEC attacks frequently prove ineffective because of the continuous development and evolution of these malicious schemes. This research introduces a novel methodology for safeguarding against BEC attacks called the BEC Defender. The methodology implemented in this paper augments the authentication mechanisms within business emails by employing a multi-layered validation process, which includes a MAC address as an identity token, QR code generation, and the integration of timestamps as unique identifiers. The BEC-Defender algorithm was implemented and evaluated in a laboratory environment, exhibiting promising results against BEC attacks by adding an extra layer of authentication.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article