30 citations · 84 across the 8 of their papers we have counts for
8 papers
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
Tosin Ige, Christopher Kiekintveld, Aritran Piplai +3
Phishing is one of the most effective ways in which cybercriminals get sensitive details such as credentials for online banking, digital wallets, state secrets, and many more from…
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
Tosin Ige, Christopher Kiekintveld, Aritran Piplai
The ever-evolving ways attacker continues to im prove their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to rese…
Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning
Sikiru Adewale, Tosin Ige, Bolanle Hafiz Matti
This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via…
Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection
Tosin Ige, Christopher Kiekintveld
Bayesian classifiers perform well when each of the features is completely independent of the other which is not always valid in real world application. The aim of this study is to…
Adversarial Sampling for Fairness Testing in Deep Neural Network
Tosin Ige, William Marfo, Justin Tonkinson +2
In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given…
Enhancing Border Security and Countering Terrorism Through Computer Vision: a Field of Artificial Intelligence
Tosin Ige, Abosede Kolade, Olukunle Kolade
Border security had been a persistent problem in international border especially when it get to the issue of preventing illegal movement of weapons, contraband, drugs, and combatin…