Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques
A Kulkarni, V Balachandran… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …
employ various tactics to deceive users into gathering their sensitive information, potentially …
Anti-phishing: A comprehensive perspective
G Varshney, R Kumawat, V Varadharajan… - Expert Systems with …, 2024 - Elsevier
Phishing is a form of deception technique that attackers often use to acquire sensitive
information related to individuals and organizations fraudulently. Although Phishing attacks …
information related to individuals and organizations fraudulently. Although Phishing attacks …
Generating phishing attacks using chatgpt
The ability of ChatGPT to generate human-like responses and understand context has made
it a popular tool for conversational agents, content creation, data analysis, and research and …
it a popular tool for conversational agents, content creation, data analysis, and research and …
Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List
Phishing, a pervasive form of social engineering attack that compromises user credentials,
has led to significant financial losses and undermined public trust. Modern phishing …
has led to significant financial losses and undermined public trust. Modern phishing …
" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences
D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …
seemingly contradictory results and expands the boundaries of known discoveries …
Detecting phishing sites using chatgpt
The rise of large language models (LLMs) has had a significant impact on various domains,
including natural language processing and artificial intelligence. While LLMs such as …
including natural language processing and artificial intelligence. While LLMs such as …
[HTML][HTML] The applicability of a hybrid framework for automated phishing detection
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …
landscape. As cybercriminals continually adapt their techniques, automated phishing …
Phishing detection leveraging machine learning and deep learning: A review
DM Divakaran, A Oest - IEEE Security & Privacy, 2022 - ieeexplore.ieee.org
Phishing attacks trick victims into disclosing sensitive information. To counter them, we
explore machine learning and deep learning models leveraging large-scale data. We …
explore machine learning and deep learning models leveraging large-scale data. We …
A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts
Phishing poses a significant threat to the financial and privacy security of internet users and
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
Multimodal large language models for phishing webpage detection and identification
J Lee, P Lim, B Hooi, DM Divakaran - arXiv preprint arXiv:2408.05941, 2024 - arxiv.org
To address the challenging problem of detecting phishing webpages, researchers have
developed numerous solutions, in particular those based on machine learning (ML) …
developed numerous solutions, in particular those based on machine learning (ML) …