Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

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 …

Applying machine learning and natural language processing to detect phishing email

A Alhogail, A Alsabih - Computers & Security, 2021 - Elsevier
The growth of online services has been accompanied by increased growth in cyber-attacks.
One of the most common effective attacks is phishing, in which attempts are made to steal …

Spam email detection using deep learning techniques

Q Yaseen - Procedia Computer Science, 2021 - Elsevier
Unsolicited emails such as phishing and spam emails cost businesses and individuals
millions of dollars annually. Several models and techniques to automatically detect spam …

Helphed: Hybrid ensemble learning phishing email detection

P Bountakas, C Xenakis - Journal of network and computer applications, 2023 - Elsevier
Phishing email attack is a dominant cyber-criminal strategy for decades. Despite its
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …

A comprehensive dual-layer architecture for phishing and spam email detection

J Doshi, K Parmar, R Sanghavi, N Shekokar - Computers & Security, 2023 - Elsevier
The widespread use of email communication for sharing personal, professional, and
financial data has rendered it vulnerable to cyber-attacks. Detecting untrustworthy emails …

A novel approach for spam detection using horse herd optimization algorithm

A Hosseinalipour, R Ghanbarzadeh - Neural Computing and Applications, 2022 - Springer
Communication via email has expanded dramatically in recent decades due to its cost-
effectiveness, convenience, speed, and utility for a variety of contexts, including social …

Phish responder: A hybrid machine learning approach to detect phishing and spam emails

M Dewis, T Viana - Applied System Innovation, 2022 - mdpi.com
Using technology to prevent cyber-attacks has allowed organisations to somewhat automate
cyber security. Despite solutions to aid organisations, many are susceptible to phishing and …

D-fence: A flexible, efficient, and comprehensive phishing email detection system

J Lee, F Tang, P Ye, F Abbasi, P Hay… - 2021 IEEE European …, 2021 - ieeexplore.ieee.org
Phishing continues to be a major security concern for organizations around the globe. Past
works proposed classifiers to detect phishing emails; however many of them are based on …

Enhancing Phishing Email Detection through Ensemble Learning and Undersampling

Q Qi, Z Wang, Y Xu, Y Fang, C Wang - Applied Sciences, 2023 - mdpi.com
In real-world scenarios, the number of phishing and benign emails is usually imbalanced,
leading to traditional machine learning or deep learning algorithms being biased towards …