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30 June 2016 @ 10:00 am
Paper Accepted: Model-Checking for Analysis of Information Leakage in Social Networks  

We are pleased to inform you that your paper

"How Did They Know?" - Model-Checking for Analysis of Information Leakage in Social Networks

has been accepted for presentation at COIN@ECAI.


Matryoshka, the Boss, and I cooked up the idea for this paper while at Dagstuhl based, more or less, on the fact that I was going to be going to ECAI (European Conference on Artificial Intelligence) anyway (for an IEEE meeting on Robot Ethics) and so thought I would also attend the associated COIN workshop (which is about organisations of software agents). All that being the case it seemed a shame not to submit something to the workshop. We therefore took some previous work of ours on modelling groups of agents as further agents which we had applied to Digital Crowds, and Matryoshka's interest in "fixing the Internet", dumped it in a probabilistic model-checker and came up with some numbers for how likely messages were to reach unwanted parties via forwarding through social networks.

It needs a lot of further work, but it feels like it has some potential and the referees seem to have felt so too. In fact I'm not sure I've ever seen such unanimity towards "accept" among a set of reviews.

This entry was originally posted at http://purplecat.dreamwidth.org/196966.html.
 
 
 
goldarrowgoldarrow on June 30th, 2016 11:24 am (UTC)
Congratulations!
That's super.
louisedennislouisedennis on June 30th, 2016 04:46 pm (UTC)
Thanks!
eve11eve11 on June 30th, 2016 11:34 pm (UTC)
My former co-workers do a lot with this kind of stuff in the context of cyber-security. I never really understood most of it, but they keep on asking me to be a co-author on papers and write the probability blurbs.
louisedennislouisedennis on July 2nd, 2016 09:01 am (UTC)
There probably is similar work in the security domain though I imagine the tolerance of risk there is lower. We didn't have the time to do a thorough literature search here, so looked mostly at the social network literature which seemed fairly sparse.