Google llc (20240163193). Network Anomaly Detection simplified abstract

Network Anomaly Detection

Organization Name

google llc

Inventor(s)

Mikhal Shemer of Tel Aviv (IL)

Roee Engelberg of Tel Aviv (IL)

Yonit Tova Halperin Worzel of Tel Aviv (IL)

Alex Gontmakher of Holon (IL)

Alexander Goldshtein of Tel Aviv (IL)

Gal Elidan of Modiin (IL)

Benjamin Dov Kessler of Jerusalem (IL)

Network Anomaly Detection - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240163193 titled 'Network Anomaly Detection

Simplified Explanation

A cloud network is a complex environment where multiple users can host, create, modify, and develop virtual machines with unknown behaviors. The patent application discloses methods, systems, and apparatuses to monitor the environment for network anomalies using machine learning techniques and adapt to user feedback to tune the models for specific use cases.

• Monitoring complex cloud networks for anomalies using machine learning techniques
• Adapting models based on user feedback to optimize for specific use cases, virtual machine types, and users

Potential Applications

The technology can be applied in various industries such as cybersecurity, cloud computing, network management, and data analytics.

Problems Solved

1. Detecting network anomalies in complex cloud environments 2. Adapting machine learning models based on user feedback for better performance

Benefits

1. Improved network security and performance 2. Enhanced user experience and customization 3. Efficient management of virtual machines in cloud networks

Potential Commercial Applications

Optimizing cloud network performance, enhancing cybersecurity measures, improving data analytics processes, and streamlining network management operations.

Possible Prior Art

There may be existing patents or publications related to monitoring network anomalies in cloud environments or adapting machine learning models based on user feedback. However, specific prior art would need to be researched to determine any overlap with the current patent application.

How does the technology handle scalability in large cloud networks?

The patent application does not provide details on how the monitoring and adaptation techniques scale in environments with hundreds or thousands of virtual machines.

What are the limitations of the machine learning techniques used in the patent application?

The patent application does not discuss any potential drawbacks or limitations of the machine learning methods employed for monitoring and adapting to network anomalies.

Original Abstract Submitted

a cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. in addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.