17948134. DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA simplified abstract (VMWARE, INC.)
Contents
- 1 DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA
Organization Name
Inventor(s)
Edo Yacov Dekel of Tel-Aviv (IL)
Haim Helman of San Jose CA (US)
DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 17948134 titled 'DETECTING ANOMALIES IN DISTRIBUTED APPLICATIONS BASED ON PROCESS DATA
Simplified Explanation
The abstract of the patent application describes techniques for detecting anomalies in a distributed application based on process data, including the hierarchy of processes, file system operations, and network access operations.
- The innovation involves analyzing process data such as the hierarchy of processes, file system operations, and network access operations to detect anomalies in a distributed application.
- By monitoring and analyzing the behavior of processes within the application, anomalies can be identified and addressed in a timely manner.
Potential Applications
The technology can be applied in various industries such as cybersecurity, network monitoring, and system performance optimization.
Problems Solved
This technology helps in early detection of anomalies in a distributed application, leading to improved system performance, enhanced security, and reduced downtime.
Benefits
The benefits of this technology include improved system reliability, enhanced security, and optimized performance of distributed applications.
Potential Commercial Applications
The technology can be utilized by companies offering network monitoring solutions, cybersecurity services, and system performance optimization tools.
Possible Prior Art
One possible prior art could be the use of anomaly detection techniques in network monitoring systems to identify unusual behavior and potential security threats.
Unanswered Questions
How does the innovation handle large volumes of process data efficiently?
The article does not provide details on the scalability of the technology and how it manages large amounts of process data effectively.
What are the potential limitations of the innovation in detecting complex anomalies?
The article does not address the potential challenges or limitations of the technology in detecting intricate anomalies in distributed applications.
Original Abstract Submitted
Techniques for detecting anomalies in a distributed application based on process data are provided. This process data can include, e.g., the hierarchy (i.e., tree) of processes created and run by the application, the file system operations performed by each process, the network access operations performed by each process.
