A Comprehensive Survey of Recent Phishing Attacks Detection Techniques

被引:0
|
作者
Priya, S. [1 ,2 ]
Gutema, Danat [3 ]
Singh, Shweta [2 ,4 ]
机构
[1] Manipal Inst Technol Bengaluru, Dept Informat Technol, Bengaluru, India
[2] Manipal Acad Higher Educ, Manipal, India
[3] Vel Tech Rangarajan Dr Sagunthala R&D Inst Techno, Dept CSE, Morai, India
[4] Manipal Inst Technol Bengaluru, Dept ECE, Bengaluru, India
关键词
Website Phishing; Feature Selection; Identity Theft; Online Security; and Neural Network;
D O I
10.1109/CITIIT61487.2024.10580446
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A Comprehensive Survey of Recent Phishing Attacks Detection Techniques
    Priya, S.
    Gutema, Danat
    Singh, Shweta
    2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024, 2024,
  • [2] A comprehensive survey of AI-enabled phishing attacks detection techniques
    Basit, Abdul
    Zafar, Maham
    Liu, Xuan
    Javed, Abdul Rehman
    Jalil, Zunera
    Kifayat, Kashif
    TELECOMMUNICATION SYSTEMS, 2021, 76 (01) : 139 - 154
  • [3] A comprehensive survey of AI-enabled phishing attacks detection techniques
    Abdul Basit
    Maham Zafar
    Xuan Liu
    Abdul Rehman Javed
    Zunera Jalil
    Kashif Kifayat
    Telecommunication Systems, 2021, 76 : 139 - 154
  • [4] Detection and prevention of spear phishing attacks: A comprehensive survey
    Birthriya, Santosh Kumar
    Ahlawat, Priyanka
    Jain, Ankit Kumar
    COMPUTERS & SECURITY, 2025, 151
  • [5] A Comprehensive Survey of Phishing Email Detection and Protection Techniques
    Kumar Birthriya, Santosh
    Jain, Ankit Kumar
    INFORMATION SECURITY JOURNAL, 2022, 31 (04): : 411 - 440
  • [6] An overview of phishing attacks and their detection techniques
    Dadkhah, Mehdi
    Jazi, Mohammad Davarpanah
    Mobarakeh, Majid Saidi
    Shamshirband, Shahaboddin
    Wang, Xiaojun
    Raste, Sachin
    INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY, 2016, 9 (04) : 187 - 195
  • [7] An overview of phishing attacks and their detection techniques
    Dadkhah M.
    Jazi M.D.
    Mobarakeh M.S.
    Shamshirband S.
    Wang X.
    Raste S.
    Dadkhah, Mehdi (dadkhah80@gmail.com), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (09): : 187 - 195
  • [8] Phishing Attacks: A Recent Comprehensive Study and a New Anatomy
    Alkhalil, Zainab
    Hewage, Chaminda
    Nawaf, Liqaa
    Khan, Imtiaz
    FRONTIERS IN COMPUTER SCIENCE, 2021, 3
  • [9] A Survey on Phishing Emails Detection Techniques
    Muneer, Amgad
    Ali, Rao Faizan
    Al-Sharai, Abdo Ali
    Fati, Suliman Mohamed
    4TH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING (IC)2, 2021, : 144 - 149
  • [10] Detection of phishing attacks
    Baykara, Muhammet
    Gurel, Zahit Ziya
    2018 6TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS), 2018, : 399 - 403