2 citations · 7 across the 7 of their papers we have counts for
6 papers · 1 filter
Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
Sajal Saha, Anwar Haque, Greg Sidebottom
Effective internet traffic prediction in smaller ISP networks is challenged by limited data availability. This paper explores this issue using transfer learning and data augmentati…
An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs
Sudipto Baral, Sajal Saha, Anwar Haque
The exponential growth of the Internet of Things (IoT) has significantly increased the complexity and volume of cybersecurity threats, necessitating the development of advanced, sc…
Transfer Learning Based Efficient Traffic Prediction with Limited Training Data
Sajal Saha, Anwar Haque, Greg Sidebottom
Efficient prediction of internet traffic is an essential part of Self Organizing Network (SON) for ensuring proactive management. There are many existing solutions for internet tra…
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction
Sajal Saha, Anwar Haque, Greg Sidebottom
Efficient prediction of internet traffic is essential for ensuring proactive management of computer networks. Nowadays, machine learning approaches show promising performance in mo…
Deep Sequence Modeling for Anomalous ISP Traffic Prediction
Sajal Saha, Anwar Haque, Greg Sidebottom
Internet traffic in the real world is susceptible to various external and internal factors which may abruptly change the normal traffic flow. Those unexpected changes are considere…
Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction
Sajal Saha, Anwar Haque, Greg Sidebottom
Prediction of network traffic behavior is significant for the effective management of modern telecommunication networks. However, the intuitive approach of predicting network traff…