By a News Reporter-Staff News Editor at Computers, Networks & Communications -- A new study on Computers - Computer Security is now available. According to news reporting originating from Varese, Italy, by VerticalNews correspondents, research stated, “Although the dramatic increase in Online Social Network (OSN) usage, there are still a lot of security and privacy concerns. In such a scenario, it would be very beneficial to have a mechanism able to assign a risk score to each OSN user.”
Our news editors obtained a quote from the research from the University of Insubria, “For this reason, in this paper, we propose a risk assessment based on the idea that the more a user behavior diverges from what it can be considered as a ‘normal behavior’, the more it should be considered risky. In doing this, we have taken into account that OSN population is really heterogeneous in observed behaviors. As such, it is not possible to define a unique standard behavioral model that fits all OSN users’ behaviors. However, we expect that similar people tend to follow similar rules with the results of similar behavioral models. For this reason, we propose a risk assessment approach organized into two phases: similar users are first grouped together, then, for each identified group, we build one or more models for normal behavior.”
According to the news editors, the research concluded: “The carried out experiments on a real Facebook dataset show that the proposed model outperforms a simplified behavioral-based risk assessment where behavioral models are built over the whole OSN population, without a group identification phase.”
For more information on this research see: Risk Assessment in Social Networks Based on User Anomalous Behaviors. IEEE Transactions on Dependable and Secure Computing , 2018;15(2):295-308. IEEE Transactions on Dependable and Secure Computing can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Dependable and Secure Computing - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8858)
The news editors report that additional information may be obtained by contacting N. Laleh, University of Insubria, DISTA, I-22100 Varese, Italy. Additional authors for this research include B. Carminati and E. Ferrari.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TDSC.2016.2540637. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-04-12), Reports Summarize Computer Security Study Results from University of Insubria (Risk Assessment in Social Networks Based on User Anomalous Behaviors), Computers, Networks & Communications, 432, ISSN: 1944-1568, BUTTER® ID: 015460613
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