Twitter is a crucial platform to get access to breaking news and timely information. However,
due to questionable provenance, uncontrollable broadcasting, and unstructured languages …

Sybil attack is when one node gains identity of another node. This in one of the dangerous
attacks that can give rise to other attacks also. Hence, we present first the implementation of …

Computational Trust Models and Machine Learning provides a detailed introduction to the
concept of trust and its application in various computer science areas, including multi-agent …

Sybil attack is an attack where malicious users obtain multiple fake identities and access the
system from multiple different modes. It is an attack wherein a reputation system is destroyed …

Online Social Networks (OSNs)(eg, Facebook, Twitter and LinkedIn) have gained
overwhelming popularity and accumulated massive digital data about human society. These …

Now a days use of Online Social Networks [OSN] is quickly increasing because of its
popularity increases, thus security in OSNs is most challenging analysis in this domain …

On SNS (Social Networking Services), detecting Sybils is an urgent demand. The most
famous approach is called “SybilRank” scheme where each node evenly distributes its trust …

Crowdsourced opinion portals allow people to share experiences and assessments about
products or services by posting reviews online, and have become an informative source for …

This thesis focuses on creating tools for the gathering and management of data for analyzing
Denial of Service attacks on the advertisement-based synchronization mechanism used in …

Due to open and anonymous nature, online social networks are particularly vulnerable to
Sybil attack, where a malicious user can fabricate many dummy identities to target systems …