TY - GEN
T1 - A Comprehensive Survey of Recent Phishing Attacks Detection Techniques
AU - Priya, S.
AU - Gutema, Danat
AU - Singh, Shweta
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Phishing attacks lead to fraudulent acquisition of user credentials, which is turn result in potential harm to reputation and financial security of individuals and organization. The initial instances of phishing attacks emerged in mid of 1990, when a group of hackers impersonated AOL employees through instant messages and emails, aiming to steal passwords and hijack accounts. Over the past two decades, the number of internet users has consistently grown, which has consequently led to an increase in attackers employing various technologies, software, and malicious tools. The proliferation of devices such as computers and smartphones has further contributed to the rapid rise of phishing attacks. These attacks can lead to severe financial theft and pose a significant risk to the reputation of organizations. To counter this threat, numerous techniques and algorithms have been developed and implemented. This paper explores the different detection methods, providing an analysis of their strengths and limitations.
AB - Phishing attacks lead to fraudulent acquisition of user credentials, which is turn result in potential harm to reputation and financial security of individuals and organization. The initial instances of phishing attacks emerged in mid of 1990, when a group of hackers impersonated AOL employees through instant messages and emails, aiming to steal passwords and hijack accounts. Over the past two decades, the number of internet users has consistently grown, which has consequently led to an increase in attackers employing various technologies, software, and malicious tools. The proliferation of devices such as computers and smartphones has further contributed to the rapid rise of phishing attacks. These attacks can lead to severe financial theft and pose a significant risk to the reputation of organizations. To counter this threat, numerous techniques and algorithms have been developed and implemented. This paper explores the different detection methods, providing an analysis of their strengths and limitations.
UR - https://www.scopus.com/pages/publications/85199170507
UR - https://www.scopus.com/pages/publications/85199170507#tab=citedBy
U2 - 10.1109/ICITIIT61487.2024.10580446
DO - 10.1109/ICITIIT61487.2024.10580446
M3 - Conference contribution
AN - SCOPUS:85199170507
T3 - 2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024
BT - 2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024
Y2 - 15 March 2024 through 16 March 2024
ER -