Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Artificial Intelligence and Robotics (1)
- Communication (1)
- Communication Technology and New Media (1)
- Computational Engineering (1)
- Computer Engineering (1)
-
- Computer Sciences (1)
- Databases and Information Systems (1)
- Electrical and Computer Engineering (1)
- Mass Communication (1)
- Other Electrical and Computer Engineering (1)
- Physical Sciences and Mathematics (1)
- Social Media (1)
- Social and Behavioral Sciences (1)
- Statistical Methodology (1)
- Statistical Models (1)
- Statistics and Probability (1)
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Mitigating Colluding Attacks In Online Social Networks And Crowdsourcing Platforms, Georges Arsene K. Kamhoua
Mitigating Colluding Attacks In Online Social Networks And Crowdsourcing Platforms, Georges Arsene K. Kamhoua
FIU Electronic Theses and Dissertations
Online Social Networks (OSNs) have created new ways for people to communicate, and for companies to engage their customers -- with these new avenues for communication come new vulnerabilities that can be exploited by attackers. This dissertation aims to investigate two attack models: Identity Clone Attacks (ICA) and Reconnaissance Attacks (RA). During an ICA, attackers impersonate users in a network and attempt to infiltrate social circles and extract confidential information. In an RA, attackers gather information on a target's resources, employees, and relationships with other entities over public venues such as OSNs and company websites. This was made easier for …
Context-Aware Personalized Point-Of-Interest Recommendation System, Ramesh Raj Baral
Context-Aware Personalized Point-Of-Interest Recommendation System, Ramesh Raj Baral
FIU Electronic Theses and Dissertations
The increasing volume of information has created overwhelming challenges to extract the relevant items manually. Fortunately, the online systems, such as e-commerce (e.g., Amazon), location-based social networks (LBSNs) (e.g., Facebook) among many others have the ability to track end users' browsing and consumption experiences. Such explicit experiences (e.g., ratings) and many implicit contexts (e.g., social, spatial, temporal, and categorical) are useful in preference elicitation and recommendation. As an emerging branch of information filtering, the recommendation systems are already popular in many domains, such as movies (e.g., YouTube), music (e.g., Pandora), and Point-of-Interest (POI) (e.g., Yelp).
The POI domain has many …
Identifying Expert Investors On Financial Microblog Via Artificial Neural Networks, Pierluca Del Buono
Identifying Expert Investors On Financial Microblog Via Artificial Neural Networks, Pierluca Del Buono
Dissertations
In the recent years, thanks to social media platform, a plethora of information has been available to financial investors, that were traditionally dependent from financial institutions advisors. Strategies are now shared among web users, performances of stocks are commented in web communities and hints and suggestions are travelling on the internet with a fast pace, in a way that was unthinkable few years before. Several attempts have been made in the recent past, to predict Market movements and trends from activity of Financial Social Networks participants, and to evaluate if contributions from individuals with high level of expertise distinguish themselves …