Email security issues, tools, and techniques used in investigation

E Altulaihan, A Alismail, MM Hafizur Rahman… - Sustainability, 2023 - mdpi.com
The email system is a globally distributed communication infrastructure service that involves
multiple actors playing different roles to ensure end-to-end mail delivery. It is an …

COVID-19 detection using deep learning algorithm on chest X-ray images

S Akter, FMJM Shamrat, S Chakraborty, A Karim… - Biology, 2021 - mdpi.com
Simple Summary The study proposes an automated deep learning-based classification
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …

Mcnn-lstm: Combining cnn and lstm to classify multi-class text in imbalanced news data

KM Hasib, S Azam, A Karim, A Al Marouf… - IEEE …, 2023 - ieeexplore.ieee.org
Searching, retrieving, and arranging text in ever-larger document collections necessitate
more efficient information processing algorithms. Document categorization is a crucial …

Implementation of deep learning methods to identify rotten fruits

S Chakraborty, FMJM Shamrat… - … conference on trends …, 2021 - ieeexplore.ieee.org
Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …

[HTML][HTML] Email spam detection by deep learning models using novel feature selection technique and BERT

G Nasreen, MM Khan, M Younus, B Zafar… - Egyptian Informatics …, 2024 - Elsevier
Due to the influx of advancements in technology and the increased simplicity of
communication through emails, there has been a severe threat to the global economy and …

[HTML][HTML] The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains

R Hoheisel, G van Capelleveen, DK Sarmah… - Computers & …, 2023 - Elsevier
To design preventive policy measures for email phishing, it is helpful to be aware of the
phishing schemes and trends that are currently applied. How phishing schemes and …

An improved transformer‐based model for detecting phishing, spam and ham emails: A large language model approach

S Jamal, H Wimmer, IH Sarker - Security and Privacy, 2024 - Wiley Online Library
Phishing and spam have been a cybersecurity threat with the majority of breaches resulting
from these types of social engineering attacks. Therefore, detection has been a long …

A comparative study of different machine learning tools in detecting diabetes

P Ghosh, S Azam, A Karim, M Hassan, K Roy… - Procedia Computer …, 2021 - Elsevier
A significant proportion of people around the world are currently suffering from the harmful
effects of diabetes and a considerable number of them not being identified at an early stage …

An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach

S Jamal, H Wimmer - arxiv preprint arxiv:2311.04913, 2023 - arxiv.org
Phishing and spam detection is long standing challenge that has been the subject of much
academic research. Large Language Models (LLM) have vast potential to transform society …

Bi-LSTM and conventional classifiers for email spam filtering

CM Shaik, NM Penumaka, SK Abbireddy… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Nowadays, emails play a major role in everyone's day-to-day life. The number of people
using email is rapidly growing. Because of this, the hackers are taking advantage of the …