Cyber CoP Meeting

When:  Apr 17, 2024 from 12:00 to 13:00 (ET)
“Machine Learning and Network Management” with guest speaker Dr. Jayashree Harikumar.
 
DEVCOM Analysis Center (DAC) has built several collaborations with universities to analyze and develop methodologies and tools to assess systems that use Artificial Intelligence (AI) algorithms developed using Machine Learning (ML) techniques. One such effort is in intrusion and anomaly detection of AI enabled network systems. The current approach to detect intrusion and anomaly in AI-enabled network systems is done by analyzing the data used to train the network. This data is usually stored at a central logical location, the cloud, and consequently access to this data suffers from unacceptable latency, high communication overhead, and lack of consistent connectivity. A promising new approach, Federated Learning (FL), has been proposed in literature to address these challenges. While FL does largely address the above challenges its use of ML models makes it vulnerable to adversarial attacks, such as data/model poisoning and inference.
 
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Meeting ID: 849 6195 1669
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