Archives: Projects

Friday, November 22, 2024

Using Machine Learning in Security and Privacy

  Our group studies Machine Learning (ML) in network security (as shown in the figure below) and the security of machine learning. Below are some of our projects in this area: Machine Learning Applications in Network Security [1] Surveying Adversarial Attacks against Networks Security [1] Machine learning enhances decision support systems in... More

Wednesday, November 20, 2024

Privacy in IoT Systems

Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach Addressing privacy concerns in Smart Home (SH) systems is essential, however, more research is needed in analyzing and evaluation of privacy threats for effective risk management. Although there has been some research on privacy in... More

Friday, November 1, 2024

Securing 5G Using Slice Isolation

We study the security of 5G mobile networks and securing 5G using slice isolation. Following are our recent projects on 5G security:  Security Analysis of Critical 5G Interfaces  In this work, we investigate the interfaces-specific security recommendations presented by most active Standardization Development Organizations (SDOs), analyze the... More

Friday, May 28, 2021

Secure 5G Core Network Slicing in Support of IoT Application

      The key motivation for this work is that future smart services (e.g. IoT applications) will have competing and perhaps conflicting networking performance requirements. These services will also require flexible and agile deployment. 5G networks, an essential component of future virtualized infrastructures, deal with this issue... More

Friday, May 28, 2021

Resource augmentation in Mobile Cloud Computing

    In this research, we address resourced-constrained mobile devices’ ability to get computing support from external sources. This could enhance the performance of their applications and extend their battery life by resource augmentation techniques where more powerful computing sources support the mobile devices. We investigate this... More

Friday, May 28, 2021

Analysis of Adversarial Attacks in Network Security

  This project enables us to demonstrate the effects of adversarial samples on deep learning-based intrusion detection systems within the context of IoT networks. Our experimental results illustrate the vulnerability of deep learning-based intrusion detection systems. It also provides a performance comparison between the feed forward neural... More

Friday, May 28, 2021

Location Verification on the Internet

  This research aims at verifying location claims of Internet clients. A wide spectrum of location-sensitive Internet applications could benefit from verifying location assertions. To that end, we designed Client Presence Verification (CPV), a delay-based mechanism by which a location assertion could be verified to a certain degree of... More

Friday, May 28, 2021

Adaptive SDN Controllers

    In this project, we introduce the use of adaptive controllers into software-defined networking (SDN), and propose the use of adaptive consistency models in the context of distributed SDN controllers. These adaptive controllers can tune their own configurations in real-time in order to enhance the performance of the applications... More

Load More →