Mohammad Abdul Azim, Ethel Merry, Jigmey Gyalmo, Zulfikar Alom
Considering the immense assistance of the internet of things (IoT) in several industries, including the healthcare IoT (H-IoT) and internet of medical things (IoMT), it has performed better not only in the hardware but in the underlying software categories as well. While the use of IoT in the paradi...
Mst. Nilufa Yeasmin, Md. Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom et al.
In this paper, there is a novel model based on ensemble learning for predicting phishing websites. The overall design is a combination of three individual machine-learning models with the help of the uni-variate feature selection model for detecting phishing and non-phishing URLs. The proposed model...
Bikash Chandra Singh, Zulfikar Alom, Haibo Hu, Mohammad Muntasir Rahman et al.
Human civilization is experiencing a critical situation that presents itself for a new coronavirus disease 2019 (COVID-19). This virus emerged in late December 2019 in Wuhan city, Hubei, China. The grim fact of COVID-19 is, it is highly contagious in nature, therefore, spreads rapidly all over the w...
Mst. Nilufa Yeasmin, Md Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom et al.
Phishing involves manipulating individuals into revealing private data, e.g., user IDs, bank details, and passwords. The observed surge in fraud is related to increased deception, impersonation, and advanced online attacks. Thus, effective phishing detection methods are required to mitigate escalati...
Dema Daoun, Zulfikar Alom, Mohammad Abdul Azim
Mst. Nilufa Yeasmin, Md. Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom et al.
In this paper, there is a novel model based on ensemble learning for predicting phishing websites. The overall design is a combination of three individual machine-learning models with the help of the uni-variate feature selection model for detecting phishing and non-phishing URLs. The proposed model...
Mst. Nilufa Yeasmin, Md. Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom et al.
<p>In this paper, there is a novel model based on ensemble learning for predicting phishing websites. The overall design is a combination of three individual machine-learning models with the help of the uni-variate feature selection model for detecting phishing and non-phishing URLs. The propo...
Antara Titikhsha Barua, Sharika Tasnim, Zulfikar Alom, Zeyar Aung et al.