A systematic literature review on phishing email detection using natural language processing techniques

S Salloum, T Gaber, S Vadera, K Shaalan - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

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 …

Detection of phishing emails using machine learning and deep learning

L Shalini, SS Manvi, NC Gowda… - 2022 7th International …, 2022 - ieeexplore.ieee.org
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 …

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 …

Using transformers for identification of persuasion principles in phishing emails

B Karki, F Abri, AS Namin… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
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 …

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 …

[PDF][PDF] Benchmarking the Robustness of Phishing Email Detection Systems.

B Ampel, Y Gao, JL Hu, S Samtani, H Chen - AMCIS, 2023 - researchgate.net
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 …

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 …

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 …