The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs

no code implementations • 15 Apr 2024 • Saroj Gopali, Akbar S. Namin, Faranak Abri, Keith S. Jones

This study focuses on the detection of phishing websites using deep learning models such as Multi-Head Attention, Temporal Convolutional Network (TCN), BI-LSTM, and LSTM where URLs of the phishing websites are treated as a sequence.

A Survey on Blockchain-Based Federated Learning and Data Privacy

no code implementations • 29 Jun 2023 • Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbash, Akbar Siami Namin

Federated learning is a decentralized machine learning paradigm that allows multiple clients to collaborate by leveraging local computational power and the models transmission.

Federated Learning Privacy Preserving

A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models

no code implementations • 17 Dec 2021 • Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

Recently, deep learning techniques have been introduced and explored in the context of time series analysis and prediction.

Time Series Time Series Analysis