activity
20072021
most citedDetecting Anomalous User Behavior Using an Extended Isolation Forest Algorithm: An Enterprise Case Study

38 citations · 129 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CR2021

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection

Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao

With cyber incidents and data breaches becoming increasingly common, being able to predict a cyberattack has never been more crucial. The ability of Network Anomaly Detection Syste…

math.CO2017

High Rate LDPC Codes from Difference Covering Arrays

D. Donovan, A. Rao, E. Şule Yazıcı

This paper presents a combinatorial construction of low-density parity-check (LDPC) codes from difference covering arrays. While the original construction by Gallagher was by rando…

cs.CR2016★ 38 cited

Detecting Anomalous User Behavior Using an Extended Isolation Forest Algorithm: An Enterprise Case Study

Li Sun, Steven Versteeg, Serdar Boztas +1

Anomalous user behavior detection is the core component of many information security systems, such as intrusion detection, insider threat detection and authentication systems. Anom…

cs.SI2015★ 20 cited

Fast extraction of the backbone of projected bipartite networks to aid community detection

Jessica Liebig, Asha Rao

This paper introduces a computationally inexpensive method of extracting the backbone of one-mode networks projected from bipartite networks. We show that the edge weights in the o…

cs.SI2015★ 3 cited

Ranking the Importance Level of Intermediaries to a Criminal using a Reliance Measure

Pritheega Magalingam, Stephen Davis, Asha Rao

Recent research on finding important intermediate nodes in a network suspected to contain criminal activity is highly dependent on network centrality values. Betweenness centrality…

cs.SI2015★ 22 cited

Using shortest path to discover criminal community

Pritheega Magalingam, Stephen Davis, Asha Rao

Extracting communities using existing community detection algorithms yields dense sub-networks that are difficult to analyse. Extracting a smaller sample that embodies the relation…