Detection of Attacks in Online Social Networks (OSN)
R. Rajesh, B., Prof. Prathibha S. · Zenodo (CERN European Organization for Nuclear Research) · 2019
Online Social Networks (OSN) attacks are most prevalent and practical attack that cannot be prevented easily. Due to increase in OSN population many users are exposed to many attacks. Attacker uses social media as a channel to launch the attacks. Due to this it is necessary to develop some mechanism to avoid the attacks. So it is essential to do the risk assessment in OSN by assigning the Risk Score to each user in OSN. Risk Score assignment is carried out in two ways. (i) One Phase Risk Assessment based on Group Identification features (ii) Two Phase Risk Assessment based on behaviour features mapping. After calculating the risk score users are categorized as below average (below normal), average (normal), and above average (Malicious) user.