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Articles 91 - 93 of 93
Full-Text Articles in Cybersecurity
An Enhanced Real-Time Intrusion Detection Framework Using Federated Transfer Learning In Large-Scale Iot Networks, Khawlah Harahsheh, Malek Alzaqebah, Chung-Hao Chen
An Enhanced Real-Time Intrusion Detection Framework Using Federated Transfer Learning In Large-Scale Iot Networks, Khawlah Harahsheh, Malek Alzaqebah, Chung-Hao Chen
Electrical & Computer Engineering Faculty Publications
The exponential growth of Internet of Things (IoT) devices has introduced critical security challenges, particularly in scalability, privacy, and resource constraints. Traditional centralized intrusion detection systems (IDS) struggle to address these issues effectively. To overcome these limitations, this study proposes a novel Federated Transfer Learning (FTL)-based intrusion detection framework tailored for large-scale IoT networks. By integrating Federated Learning (FL) with Transfer Learning (TL), the framework enhances detection capabilities while ensuring data privacy and reducing communication overhead. The hybrid model incorporates convolutional neural networks (CNNs), bidirectional gated recurrent units (BiGRUs), attention mechanisms, and ensemble learning. To address the class imbalance, Synthetic …
Privacy In Iot Cloud, Aftab Ahmad, Ravi Mukkamala, Karthik Navuluri
Privacy In Iot Cloud, Aftab Ahmad, Ravi Mukkamala, Karthik Navuluri
Computer Science Faculty Publications
We present a framework for privacy preservation in an information cloud of IoT devices. We contend that privacy provisioning should be located in the user device and must protect the user, the information, and the device from breaches in privacy. We elaborate on how the layered privacy model can ensure such privacy provisioning, and justify the device being the provisioning point instead of the cloud alone. We present the point of view that, due to resource limitations of the IoT devices in general, the privacy preserving measures need to be hard-coded in the device technology. We fall short of suggesting …
Social Engineering In The Age Of Ai, Mohammad A. Saleh
Social Engineering In The Age Of Ai, Mohammad A. Saleh
Cybersecurity Undergraduate Research Showcase
The next great invention is artificial intelligence. AI has grown rapidly over the last 15 years and has brought both advantages and disadvantages to everyday society. One of the most concerning disadvantages highlighted in recent years is the rise of social engineering attacks. Social engineering comes in many different forms, making it difficult to identify at times. With the development of AI, these attacks have become even harder to detect, prevent, and stop. This research essay explores the different types of AI-driven social engineering attacks, how they occur, why they happen, and the impact they have on individuals and organizations.