activity
20132025
most citedClear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report)

103 citations · 250 across the 29 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.SI2018

The one comparing narrative social network extraction techniques

Michelle Edwards, Lewis Mitchell, Jonathan Tuke +1

Analysing narratives through their social networks is an expanding field in quantitative literary studies. Manually extracting a social network from any narrative can be time consu…

math.HO2018

Surreal Birthdays and Their Arithmetic

Matthew Roughan

Surreal numbers are created recursively, with the "birthday" being the depth of the recursion. Birthday arithmetic describes how birthdays of surreal numbers are transformed by sta…

cs.SI2018

Generating Connected Random Graphs

Caitlin Gray, Lewis Mitchell, Matthew Roughan

Sampling random graphs is essential in many applications, and often algorithms use Markov chain Monte Carlo methods to sample uniformly from the space of graphs. However, often the…

cs.CR2018★ 103 cited

Clear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report)

Ayyoob Hamza, Dinesha Ranathunga, H. Habibi Gharakheili +2

IoT devices are increasingly being implicated in cyber-attacks, driving community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order…

cs.SI2018

Super-blockers and the effect of network structure on information cascades

Caitlin Gray, Lewis Mitchell, Matthew Roughan

Modelling information cascades over online social networks is important in fields from marketing to civil unrest prediction, however the underlying network structure strongly affec…