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Abstract
New social networks are born each day, at a formal conference, at informal social gathering, at family reunions etc. Internet has already been playing an important role to let people socialize through online social websites. For many users, its still not the optimal way of interaction as one has to be very active updating their activities on the online profiles. With the easy access to mobile devices, modern technologies have now started to adopt to more human of socializing. As these mobile devices accompany their users almost all the time, they can record and observe their users behavior as well as gather information about their social circle. Therefore, they can help users to get information from contacts, that they potentially not even know. In this paper we put our efforts towards the initial design of such an architecture, we call Mergenet, that will sniff for information around the user’s surrounding, leveraging useful answers on their demand.
BibTeX (Download)
@inproceedings{Belle2008I,
title = {I Seek for Knowledge: Exploiting Social Properties in Mobile Ad-Hoc Networks},
author = {Sebastian Kay Belle and Muhammad Arshad Islam and Marcel Waldvogel},
url = {https://netfuture.ch/wp-content/uploads/2008/belle08iseek.pdf},
year = {2008},
date = {2008-11-24},
urldate = {1000-01-01},
booktitle = {In Proceedings of 1st IFIP Wireless Days 2008},
pages = {1-5},
abstract = {New social networks are born each day, at a formal conference, at informal social gathering, at family reunions etc. Internet has already been playing an important role to let people socialize through online social websites. For many users, its still not the optimal way of interaction as one has to be very active updating their activities on the online profiles. With the easy access to mobile devices, modern technologies have now started to adopt to more human of socializing. As these mobile devices accompany their users almost all the time, they can record and observe their users behavior as well as gather information about their social circle. Therefore, they can help users to get information from contacts, that they potentially not even know. In this paper we put our efforts towards the initial design of such an architecture, we call \emph{Mergenet}, that will sniff for information around the user's surrounding, leveraging useful answers on their demand.
},
keywords = {Opportunistic Networks, Privacy, Social Networks},
pubstate = {published},
tppubtype = {inproceedings}
}
