Behavioural Analysis Based Risk Assessment in Online Social Networks

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Abstract

Even though a spectacular enhancement in the utilization of OSN, there are still many security concerns. In that situation, it will be very helpful to have a system that has ability for assigning a score of risk to every user of OSN. Here, we recommend an estimation of risk based upon the initiative that additionally the behaviour of user deviates from which it could be believed as a ‘regular behaviour’, further it has to be regarded as unsafe. We took it into consideration that the population of OSN actually varied at particular behaviours. It is difficult to explain the behavioural model of an exceptional standard which would fit all the users’ of OSN behaviours. Whereas, we do anticipate the same people who tend to chase the same rules along with the outcomes of same behavioural forms. We suggest a risk measurement systematized into 2 stages for this reason: The related users are grouped first simultaneously, later, for every recognized group; we would like to construct more than one forms for casual behaviour.

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Teja Sree, N., & Sumalatha, G. (2021). Behavioural Analysis Based Risk Assessment in Online Social Networks. In Lecture Notes in Electrical Engineering (Vol. 698, pp. 255–263). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7961-5_25

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