Passive Defense against the Cyber Threats to Social Networks

Method of networking is the most effective tool of enemy is in soft war. What has already happened is the usage of Powerful tool of internet to speed up networking that has doubled efficiency of this strategy. The main goal of the research is to deal with the threats cyber social networks which is studied by secondary objectives, identification of virtual social networks, the way of finding people on social networks, effectively identifying and reducing threat of virtual social networks, through analytical and descriptive method; Data validity is assessed by two forms of content and structure and its Reliability by using Cronbach's alpha. The results show that Virtual social networks are online community of users that communicate with hardware and software features to achieve the desired goals. By Data mining we can identify effective people on social networks and realized targets and threats that arise from these networks. Control and penetration in effective people, creation of split in the net and doing notification programs will reduce cyber threats to social networks. It was proposed to develop a Center for monitoring virtual social networks to identify the anomalies in this area and further studies are necessary.