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 …
A comprehensive survey of phishing email detection and protection techniques
S Kumar Birthriya, AK Jain - Information Security Journal: A Global …, 2022 - Taylor & Francis
ABSTRACT E-Mails are commonly used as a medium of communication for personal and
pro-fessional purposes. Information shared via mail is also sensitive and private, such as …
pro-fessional purposes. Information shared via mail is also sensitive and private, such as …
Detection of phishing emails using machine learning and deep learning
Cyber-attacks or Computer Network Attacks (CNA) are a threat created by cybercriminals by
more than one computer against the network. There are various types of attacks, Phishing …
more than one computer against the network. There are various types of attacks, Phishing …
A Deep Fusion Model for Human . Machine-Generated Essay Classification
R Corizzo, S Leal-Arenas - 2023 International Joint Conference …, 2023 - ieeexplore.ieee.org
Essay classification is a crucially important task, considering the increasing attention
towards AI tools such as ChatGPT, and the raised concerns with regard to academic …
towards AI tools such as ChatGPT, and the raised concerns with regard to academic …
Using transformers for identification of persuasion principles in phishing emails
It is important to learn about attackers and their attacking strategies so that better and more
effective defense systems can be built. During the reconnaissance stage, attackers intend to …
effective defense systems can be built. During the reconnaissance stage, attackers intend to …
Contextminer: Mining contextual features for conceptualizing knowledge in security texts
LF Gutiérrez, A Namin - IEEE Access, 2022 - ieeexplore.ieee.org
This paper presents ContextMiner, a novel natural language processing (NLP) framework to
automatically capture contextual features for the purpose of extracting meaningful context …
automatically capture contextual features for the purpose of extracting meaningful context …
[PDF][PDF] Benchmarking the Robustness of Phishing Email Detection Systems.
Social engineering attacks are currently the most cited cybersecurity threat to organizations.
Phishing emails are the most salient form of social engineering attacks. Organizations are …
Phishing emails are the most salient form of social engineering attacks. Organizations are …
One-GPT: A one-class deep fusion model for machine-generated text detection
R Corizzo, S Leal-Arenas - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
On the brink of the one-year anniversary since the public release of ChatGPT, scholarly
research has directed their interest toward detection methodologies for machine-generated …
research has directed their interest toward detection methodologies for machine-generated …
Multimodal One-class Learning for Malicious Online Content Detection
R Corizzo, N Lewis, LP Damasceno… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Social media content can present a number of threats, including misinformation and hate
speech towards specific demographic groups. One challenge is to effectively discriminate …
speech towards specific demographic groups. One challenge is to effectively discriminate …
[PDF][PDF] Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection
SA SALLOUM - 2024 - salford-repository.worktribe.com