activity
20062025
most citedEfficient Computer Network Anomaly Detection by Changepoint Detection Methods

155 citations · 578 across the 27 of their papers we have counts for

collaborators
Showing stat.APShow all

5 papers · 1 filter

stat.AP2022

Detecting an Intermittent Change of Unknown Duration

Grigory Sokolov, Valentin S. Spivak, Alexander G. Tartakovsky

Oftentimes in practice, the observed process changes statistical properties at an unknown point in time and the duration of a change is substantially finite, in which case one says…

stat.AP2016★ 1 cited

Tracking Changes in Resilience and Level of Coordination in Terrorist Groups

Vasanthan Raghavan, Alexander G. Tartakovsky

Activity profiles of terrorist groups show frequent spurts and downfalls corresponding to changes in the underlying organizational dynamics. In particular, it is of interest in und…

stat.AP2013

Optimal Design and Analysis of the Exponentially Weighted Moving Average Chart for Exponential Data

Aleksey S. Polunchenko, Grigory Sokolov, Alexander G. Tartakovsky

We study optimal design of the Exponentially Weighted Moving Average (EWMA) chart by a proper choice of the smoothing factor and the initial value (headstart) of the decision stati…

stat.AP2012★ 155 cited

Efficient Computer Network Anomaly Detection by Changepoint Detection Methods

Alexander G. Tartakovsky, Aleksey S. Polunchenko, Grigory Sokolov

We consider the problem of efficient on-line anomaly detection in computer network traffic. The problem is approached statistically, as that of sequential (quickest) changepoint de…

stat.AP2012★ 41 cited

Hidden Markov models for the activity profile of terrorist groups

Vasanthan Raghavan, Aram Galstyan, Alexander G. Tartakovsky

The main focus of this work is on developing models for the activity profile of a terrorist group, detecting sudden spurts and downfalls in this profile, and, in general, tracking…