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Social Networks Security

Authors: Jan Nagy; Peter Pecho;

Social Networks Security

Abstract

Our study analyses possibilities of misusing social network sites due to irresponsible behaviour of users. Recent surveys show that problems of social network are more often to occur, due to openness as one of the key features of these sites. Social engineering can be misused by attackers concerning on social network with the purpose of gaining sensitive information. There is a conflict between users' security awareness and their actual behaviour, so called privacy paradox. We were interested in amount of information people are willing to reveal in their profiles. We have found out users' behaviour which leads to insufficient protection of published information. These sensitive information are suitable for all kinds of phishing and other similar attacks. In our study we compared two groups of fictive profiles (personal profiles of users having no friends and profiles of users with fictive friends) and studied their success in creating new links in social network. We also considered tools for protecting sensitive information in social networks.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
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