A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
Applications of deep learning for phishing detection: a systematic literature review
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …
techniques, and tools such as phishing through content injection, social engineering, online …
Phishing or not phishing? A survey on the detection of phishing websites
R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …
brands. Although this threat has been around for quite a long time, it is still very active and …
A hybrid DNN–LSTM model for detecting phishing URLs
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …
Phishing attacks detection using deep learning approach
In the COVID-19 pandemic, people are enforced to adopt 'work from home'policy. The
Internet has become an effective channel for social interactions nowadays. Peoples' …
Internet has become an effective channel for social interactions nowadays. Peoples' …
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features
In this paper, a novel approach based on non-inverse matrix online sequence extreme
learning machine (NIOSELM) for phishing detection is presented, which takes into account …
learning machine (NIOSELM) for phishing detection is presented, which takes into account …
GramBeddings: a new neural network for URL based identification of phishing web pages through n-gram embeddings
There has been ever-growing use of Internet and progress within many communication
channels such as social media and this escalates the need for rapid and low source …
channels such as social media and this escalates the need for rapid and low source …
Prompt engineering or fine-tuning? a case study on phishing detection with large language models
Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …
application development. The emergence of versatile LLMs capable of undertaking a wide …
Awareness model for minimizing the effects of social engineering attacks in web applications
M Al-Khateeb, M Al-Mousa… - … Journal of Data and …, 2023 - growingscience.com
Social Engineering (SE) Attacks against information systems continue to pose a potentially
devastating impact. Security information systems are becoming increasingly significant as …
devastating impact. Security information systems are becoming increasingly significant as …
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 …