Machine-learning techniques for predicting phishing attacks in blockchain networks: A comparative study

K Joshi, C Bhatt, K Shah, D Parmar, JM Corchado… - Algorithms, 2023 - mdpi.com
Security in the blockchain has become a topic of concern because of the recent
developments in the field. One of the most common cyberattacks is the so-called phishing …

[HTML][HTML] MalHyStack: a hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis

KS Roy, T Ahmed, PB Udas, ME Karim… - Intelligent Systems with …, 2023 - Elsevier
Since the advent of malware, it has reached a toll in this world that exchanges billions of
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …

Attention-based RNN architecture for detecting multi-step cyber-attack using PSO metaheuristic

PB Udas, KS Roy, ME Karim… - … Conference on Electrical …, 2023 - ieeexplore.ieee.org
In recent years, the intensive usage of electronic devices called for a greater threat to
preventing a massive volume of information generated by billions of users every second …

[PDF][PDF] An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI

KS Roy, SMR Islam - IJC, 2023 - researchgate.net
In recent years, there has been a rise in the amount of research conducted in the field of
human-computer interaction (HCI) employing electrooculography (EOG), which is a …

Detection of Emotion from EEG Signal Using Deep Learning: Bi-LSTM and GRU

MH Maliha, AR Lopa… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Emotion states are linked to a wide range of human feelings, thoughts, and actions. They
affect our ability to act properly in situations like making decisions, perceiving things, and …

Distributed Deep Learning-Based Model for Financial Fraud Detection in Supply Chain Networks

L Tamym, L Benyoucef - International Congress on Information and …, 2024 - Springer
Fraudulent activities in enterprises' supply chain networks can have significant financial
impacts on their business. There has been a growing interest in develo** automated fraud …