Abstract: Fraud risk analysis on data from formal information sources, being a ‘paper reality’, suffers from blindness to false information. Moreover, the very act of providing false information is a strong indicator for fraud. The technology presented in this paper provides one step towards the vision of harnessing real-world data from social media and internet for fraud risk analysis. We introduce a novel iterative search, monitor, and match approach for finding on-line presences of people. A real-world experiment showed that Twitter accounts can be effectively found given only limited name and address data. We also present an analysis of the ethical considerations surrounding the application of such technology for fraud risk analysis
Person to person communication locales draw in large number of clients all throughout the planet. Th...
Privacy and security within Online Social Networks (OSNs) has become a major concern over recent yea...
Social networking sites have interaction immeasurable users round the world. The users’ interactions...
Fraud risk analysis on data from formal information sources, being a ‘paper reality', suffers from b...
Due to the increase of fraud which results in loss of billions of dollars worldwide each year, sever...
Detect fraud earlier to mitigate loss and prevent cascading damageFraud Analytics Using Descriptive,...
Thousands of people across the globe utilize online services. Certain social media platforms, like a...
While many financiers use the Internet and social media to help them with investment decisions, thes...
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative gui...
In this work we describe an approach to distinguish real and impostor/compromised accounts on social...
Social networking sites such as Twitter and Facebook attracts over 500 million users across the worl...
Searching for people online is a common search task that most of us have performed at some point or ...
Today, people of all ages are increasingly using Web platforms for social interaction. Consequently,...
Since the harmful consequences of the online publication of fake news have emerged clearly, many res...
This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, ...
Person to person communication locales draw in large number of clients all throughout the planet. Th...
Privacy and security within Online Social Networks (OSNs) has become a major concern over recent yea...
Social networking sites have interaction immeasurable users round the world. The users’ interactions...
Fraud risk analysis on data from formal information sources, being a ‘paper reality', suffers from b...
Due to the increase of fraud which results in loss of billions of dollars worldwide each year, sever...
Detect fraud earlier to mitigate loss and prevent cascading damageFraud Analytics Using Descriptive,...
Thousands of people across the globe utilize online services. Certain social media platforms, like a...
While many financiers use the Internet and social media to help them with investment decisions, thes...
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative gui...
In this work we describe an approach to distinguish real and impostor/compromised accounts on social...
Social networking sites such as Twitter and Facebook attracts over 500 million users across the worl...
Searching for people online is a common search task that most of us have performed at some point or ...
Today, people of all ages are increasingly using Web platforms for social interaction. Consequently,...
Since the harmful consequences of the online publication of fake news have emerged clearly, many res...
This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, ...
Person to person communication locales draw in large number of clients all throughout the planet. Th...
Privacy and security within Online Social Networks (OSNs) has become a major concern over recent yea...
Social networking sites have interaction immeasurable users round the world. The users’ interactions...