The detection of phishing attempts in communications systems Online publication date: Fri, 01-Sep-2023
by T. Kalaichelvi; Sulakshana B. Mane; K.M. Dhanalakshmi; S. Narasimha Prasad
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 15, No. 5, 2023
Abstract: Phishing is a very effective form of cybercrime that enables offenders to deceive victims and steal important data. Phishing is now one of the most prevalent types of online fraud behaviour. Phishing attacks may cause their victims to suffer significant losses, including the loss of confidential information, identity theft, businesses, and state secrets. We suggest a threat modelling technique in this research to detect and reduce the cyber-threats that might lead to phishing assaults. To uncover all possible dangers that might result in a phishing attack, the proposed study applies the STRIDE threat design methodology to both use scenarios. The studies' findings demonstrate the approach's great effectiveness in identifying phishing URLs, with an accuracy rate of 96.3%, a false-positive rate of 17.2%, and a false-negative rate of 23.7%. Various methods related to phishing and the taxonomy of phishing are analysed.
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