Library and Information Science Commons^™

Multimodal Data Fusion And Attack Detection In Recommender Systems, Mehmet Aktukmak

USF Tampa Graduate Theses and Dissertations

The commercial platforms that use recommender systems can collect relevant information to produce useful recommendations to the platform users. However, these sources usually contain missing values, imbalanced and heterogeneous data, and noisy observations. Such characteristics render the process of exploiting the information nontrivial, as one should carefully address them during the data fusion process. In addition to the degenerative characteristics, some entries can be fake, i.e., they can be the outcomes of malicious intents to manipulate the system. These entries should be eliminated before incorporation to any recommendation task. Detecting such malicious attacks quickly and accurately and then mitigating them …

Digital Identity: A Human-Centered Risk Awareness Study, Toufic N. Chebib

USF Tampa Graduate Theses and Dissertations

Cybersecurity threats and compromises have been at the epicenter of media attention; their risk and effect on people’s digital identity is something not to be taken lightly. Though cyber threats have affected a great number of people in all age groups, this study focuses on 55 to 75-year-olds, as this age group is close to retirement or already retired. Therefore, a notable compromise impacting their digital identity can have a major impact on their life.

To help guide this study, the following research question was formulated, “What are the risk perceptions of individuals, between the ages of 55 and 75 …

Analysis Of Malicious Behavior On Social Media Platforms Using Agent-Based Modeling, Agnieszka Anna Onuchowska

USF Tampa Graduate Theses and Dissertations

The following dissertation focuses on the problem of malicious accounts actions on social media. The dissertation proposes an artifact in a form of an agent-based model of Twitter network. The model is then deployed to investigate a policy intervention that aims at controlling malicious behavior on social media outlets. The main research question is: How can we best intervene in social networks to minimize the effects of malicious actors? The dissertation consists of four studies that are organized as follows. First study is designed as an exploratory investigation that deploys descriptive analysis and unsupervised methods to analyze the types of …