19 citations · 23 across the 9 of their papers we have counts for
7 papers · 1 filter
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
Neema Davis, Gaurav Raina, Krishna Jagannathan
We develop an end-to-end deep learning-based anomaly detection model for temporal data in transportation networks. The proposed EVT-LSTM model is derived from the popular LSTM (Lon…
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory
Neema Davis, Gaurav Raina, Krishna Jagannathan
In this paper, we explore various statistical techniques for anomaly detection in conjunction with the popular Long Short-Term Memory (LSTM) deep learning model for transportation…
Compound TCP with Random Early Detection (RED): stability, bifurcation and performance analyses
Sreelakshmi Manjunath, Gaurav Raina
The problem of increased queueing delays in the Internet motivates the study of currently implemented transport protocols and active queue management (AQM) policies. We study Compo…
Impact of queue feedback on the stability and dynamics of a Rate Control Protocol (RCP) with two delays
Abuthahir, Gaurav Raina
Rate Control Protocol (RCP) uses feedback from routers to assign flows their fair rate. RCP estimates the fair rate using two forms of feedback: rate mismatch and queue size. An ou…
Do we need two forms of feedback in the Rate Control Protocol (RCP)?
Abuthahir Abuthahir, Gaurav Raina, Thomas Voice
There is considerable interest in the networking community in explicit congestion control as it may allow the design of a fair, stable, low loss, low delay, and high utilization ne…
Stability and non-linear dynamics of Dual congestion control schemes with two delays
Abuthahir Abuthahir, Gaurav Raina
In this paper, we analyze some local stability and local bifurcation properties of the Proportionally fair, TCP fair, and the Delay-based dual algorithms in the presence of two dis…