most citedEntropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019

Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records

Maria Bampa, Panagiotis Papapetrou

We study the problem of detecting adverse drug events in electronic healthcare records. The challenge in this work is to aggregate heterogeneous data types involving diagnosis code…

cs.NI20191 cited

Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA

Amin Azari, Panagiotis Papapetrou, Stojan Denic +1

Prediction of user traffic in cellular networks has attracted profound attention for improving resource utilization. In this paper, we study the problem of network traffic traffic…

cs.NI2019

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches

Amin Azari, Panagiotis Papapetrou, Stojan Denic +1

Traffic prediction plays a vital role in efficient planning and usage of network resources in wireless networks. While traffic prediction in wired networks is an established field,…

cs.CR201715 cited

Entropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels

Irvin Homem, Panagiotis Papapetrou, Spyridon Dosis

DNS tunneling techniques are often used for malicious purposes but network security mechanisms have struggled to detect these. Network forensic analysis has thus been used but has…

cs.SI20174 cited

Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity

Hend Kareem, Lars Asker, Panagiotis Papapetrou

Social networks contain implicit knowledge that can be used to infer hierarchical relations that are not explicitly present in the available data. Interaction patterns are typicall…