With the aid of several models and information, the machine learning model's spam
message identification has been carried out correctly. In order to provide accurate …

Social Networks define a path for consumers to continue contact with their friends. Social
Networks' is increasingly the popularity allows of them to accumulator huge amounts of PI …

Social network helps people to continue communication with their links. The rapidly growing
network's popularity permits the users for gathering huge amount of personal details for the …

Many social media (SM) platforms have emerged as a result of the online social network's
(OSN) rapid expansion. SM has become important in day-to-day life, and spammers have …

Online social networking sites are becoming more popular amongst Internet users. The
Internet users spend some amount of time on popular social networking sites like Facebook …

The widespread use of social networks has caused these platforms to become the target of
malicious people. Although social networks have their own spam detection systems, these …

In this paper, we present a generic statistical approach to identify spam profiles on Online
Social Networks (OSNs). Our study is based on real datasets containing both normal and …

The rapidly growing online social networking sites have been infiltrated by a large amount of
spam. In this paper, I focus on one of the most popular sites Twitter as an example to study …

The social network, by the name which has popularised in today's world and growing rapidly
at all times and controlling over mankind. The social networks like Twitter, Facebook, and …

As the use of the Internet is increasing, people are connected virtually using social media
platforms such as text messages, Facebook, Twitter, etc. This has led to increase in the …