
Mansi BhavsarMinnesota State University, Mankato | MSU · Department of Computer Science
Mansi Bhavsar
Doctor of Philosophy
Artificial Intelligence,
About
7
Publications
1,699
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Introduction
Artificial Intelligence, Autonomous Vehicles, Embedded devices, Federated Learning
Publications
Publications (7)
A federated learning-based intrusion detection system (FL-IDS) is introduced in this paper to enhance the security of vehicular networks in the context of IoT edge device implementations. The FL-IDS system protects data privacy by using local learning, where devices share only model updates with an aggregation server. This server then generates an...
This paper gives a brief overview of Big data and data analysis using twitter application. For running a successful business, we must deal with a large amount of data. This paper explains methods for storing, Designing and examine a large amount of real-time data. For making productive decisions for real-time application, we are fetching the real-t...
Internet-of-Things (IoT) connects various physical objects through the Internet and it has a wide application, such as in transportation, military, healthcare, agriculture, and many more. Those applications are increasingly popular because they address real-time problems. In contrast, the use of transmission and communication protocols has raised s...
Internet-of-Things (IoT) connects various physical objects through the Internet and it has a wide application, such as in transportation, military, healthcare, agriculture, and many more. Those applications are increasingly popular because they address real-time problems. In contrast, the use of transmission and communication protocols have raised...
With advancements in technology, an important issue is ensuring the security of self-driving cars. Unfortunately, hackers have been developing increasingly complex and harmful cyberattacks, making them difficult to detect. Furthermore, due to the diversity of the data exchanged amongst these vehicles, traditional algorithms face difficulty detectin...