Now showing items 1-20 of 22

    • Agent Trust Management Based on Human Plausible Reasoning and Rough Sets: Application to Agent-based Web search 

      Abedinzadeh, Sadra (Faculty of Graduate Studies and Research, University of Regina, 2013-12)
      Nowadays, there is a growing need to manage trust in open systems. Service providers can autonomously join and leave the open system at any time. Thus, an open system may contain untrustworthy service providers. In order ...
    • Auction Shill Detection Framework Based on SWM 

      Ganguly, Swati (Faculty of Graduate Studies and Research, University of Regina, 2016-12)
      Online auctioning has attracted serious in-auction fraud, such as shill bidding, given the huge amount of money involved and the anonymity of users. Due to the fact that shill bidding is difficult to detect as well as ...
    • Cost-Sensitive and Semi-Supervised Learning for Fraud 

      Elshaar, Sulaf (Faculty of Graduate Studies and Research, University of Regina, 2020-04)
      Given the magnitude of e-auction transactions, it becomes challenging to safeguard consumers from dishonest sellers, such as shill bidders. Shill Bidding (SB) is a predominant auction fraud that is driven by modern-day ...
    • Data Reduction in Smart Grid 

      Aleshinloye, Ahmed (Faculty of Graduate Studies and Research, University of Regina, 2018-09)
      The advancement of the electric grid has led to tremendous growth in data generated from the installed sensors. With this huge amount of data, the electric grid faces a big data problem. Therefore, it is necessary to ...
    • A Dynamic Stage-Based Fraud Monitoring Framework for Multiple Live Auctions 

      Wang, Xuegang (Faculty of Graduate Studies and Research, University of Regina, 2016-04)
      In this thesis, a new approach to monitoring live auction frauds is proposed. Monitor- ing progressing auctions for fraudulent bidding activities is becoming crucial in order to detect and stop fraud on time, so fraudsters ...
    • Elicitation of Constraints and Qualitative Preferences in Multi-Attribute Auctions 

      Shil, Shubhashis Kumar (Faculty of Graduate Studies and Research, University of Regina, 2013-11)
      Multi-Attribute Reverse Auctions (MARAs) allow negotiation between the buyer and sellers over price along with other non-price attributes such as delivery time, sellers' reputation, and product quality. The seller with ...
    • EV Battery Wear Cost Optimization for Frequency Regulation Support in a V2G Environment 

      Kolawole, Olalekan kabir (Faculty of Graduate Studies and Research, University of Regina, 2018-01)
      In addition to improving the ground transport and the environment through reduced greenhouse gas emissions, Electric vehicles (EVs) can support a number of power grid services through the Vehicle to Grid (V2G) system. ...
    • Evolutionary Winner Determination in Advanced Combinatorial Reverse Auctions 

      Shil, Shubhashis Kumar (Faculty of Graduate Studies and Research, University of Regina, 2017-09)
      Traditional Combinatorial Reverse Auctions (CRAs) are already very hard problems to solve. By considering the multiplicity of units, attributes and objectives of items; the complexity of CRAs increases. Winner Determination ...
    • Feistel network-based prefix-preserving network trace anonymization 

      Dandyan, Shaveta (Faculty of Graduate Studies and Research, University of Regina, 2022-05)
      Network traces represent a critical piece of data for the network security analysts to ensure the security of the data and detecting/correcting network issues. Due to lack of expertise, companies are forced to outsource ...
    • Formal specification of agent interaction protocols and constraint satisfaction problems. 

      Chen, Bo (Faculty of Graduate Studies and Research, University of Regina, 2004)
    • Handling Qualitative and Quantitative Preferences with Constraints in Interactive Applications 

      Mohammed, Bandar (Faculty of Graduate Studies and Research, University of Regina, 2017-03)
      Preference elicitation is very important for interactive systems. A potential buyer typically has speci c expectations in the attributes of the product he or she is interested in. While the current interactive systems ...
    • Hate and Offensive Speech Detection on Arabic Social Media 

      Alsafari, Safa Bakheet (Faculty of Graduate Studies and Research, University of Regina, 2021-10)
      We are witnessing a proliferation of hate speech on social media targeting individuals for their protected characteristics, including ethnicity, religion, gender, and nationality. Our research focuses on devising effective ...
    • Machine Learning for Shill Bidding Classification Models 

      Alzahrani, Ahmad Atea (Faculty of Graduate Studies and Research, University of Regina, 2019-09)
      As online auctions become more prevalent worldwide, they are increasingly targeted by various types of cyber-crimes. In-auction fraud, such as shill bidding (SB), is considered the most challenging to detect. SB has been ...
    • Machine learning-based intrusion detection system in advanced metering infrastructure 

      Rahman, MD Syeedur (Faculty of Graduate Studies and Research, University of Regina, 2022-09)
      Smart meters are quickly being introduced to households all over the world. Consumers will benefit significantly from Advanced Metering Infrastructure (AMI). This high-tech equipment, however, is vulnerable to serious ...
    • A Novel Mobile Host Intrusion Detection Using Neural Networks 

      Lotfallahtabrizi, Parisa (Faculty of Graduate Studies and Research, University of Regina, 2018-04)
      Smart-devices have advanced and qualified an enormous popularity in the past decade. However, this development has exposed smart-devices to a large number of security attacks. Therefore, it is essential to implement ...
    • Pipe Inspection Automation with Mobile Ground Vehicles 

      Echavarria, Juan (Faculty of Graduate Studies and Research, University of Regina, 2020-09)
      The goal of this research is to develop a series of mobile robotics projects for inspection of infrastructure to release humans of dirty, dangerous and dull tasks and give them more time to think and to create. To achieve ...
    • A Risk Management Framework to Increase Success of IT Projects 

      Martins de Andrade, Paulo Roberto (Faculty of Graduate Studies and Research, University of Regina, 2021-12)
      Companies around the globe continually seek to improve the quality of services to realize their primary mission and increase their success, branding, and profit. Based on strategic planning, they compete fiercely in their ...
    • Segmentation of Ultrasound Images Using Deep Neural Networks 

      Dhar Tupor, Shayantonee (Faculty of Graduate Studies and Research, University of Regina, 2021-08)
      During brachytherapy sessions, medical specialists record ultrasound images of prostate cancer patients and segment these images manually. In the process of analyzing patient records, it is a fundamental task to localize ...
    • Socially-Aware Transportation Systems 

      Abdelbaki, Khaled Soliman (Faculty of Graduate Studies and Research, University of Regina, 2012-05)
      The trustworthiness of information supplied to users of an Intelligent Transportation System (ITS) application is a crucial factor for the success of these applications, affecting these systems’ credibility and reliability. ...
    • Supervised Classification of Imbalanced Bidding Fraud Data 

      Anowar, Farzana (Faculty of Graduate Studies and Research, University of Regina, 2018-12)
      Online auctions have become one of the most convenient ways to commit fraud since a huge amount of money is being invested everyday by thousands of customers. Hence, online auctions are vulnerable to several types of ...