18157278. SYSTEM AND METHOD FOR DETECTION OF TRANSIENT DATA DRIFT WHILE PERFORMING ANOMALY DETECTION simplified abstract (Dell Products L.P.)

SYSTEM AND METHOD FOR DETECTION OF TRANSIENT DATA DRIFT WHILE PERFORMING ANOMALY DETECTION

Organization Name

Dell Products L.P.

Inventor(s)

OFIR Ezrielev of Be'er Sheva (IL)

SYSTEM AND METHOD FOR DETECTION OF TRANSIENT DATA DRIFT WHILE PERFORMING ANOMALY DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18157278 titled 'SYSTEM AND METHOD FOR DETECTION OF TRANSIENT DATA DRIFT WHILE PERFORMING ANOMALY DETECTION

Simplified Explanation: The patent application discusses methods and systems for identifying transient data drift during anomaly detection in a distributed environment.

• An anomaly detector and data collectors work together to identify data drift.
• The detector uses inference models to detect data drift and determine if it is transient.
• If transient data drift is detected, the inference models are adjusted accordingly.

Key Features and Innovation:

• Utilizes an anomaly detector and data collectors to identify transient data drift.
• Uses pairs of inference models to detect and analyze data drift.
• Automatically adjusts inference models based on the detection of transient data drift.

Potential Applications:

• Anomaly detection in distributed systems.
• Monitoring and maintaining data integrity in real-time.
• Enhancing the accuracy of anomaly detection algorithms.

Problems Solved:

• Identifying and addressing transient data drift during anomaly detection.
• Ensuring the reliability and accuracy of anomaly detection systems in dynamic environments.

Benefits:

• Improved accuracy in detecting anomalies.
• Real-time monitoring of data drift.
• Enhanced performance of anomaly detection algorithms.

Commercial Applications: The technology can be applied in various industries such as cybersecurity, finance, healthcare, and manufacturing to enhance anomaly detection systems and ensure data integrity.

Questions about Transient Data Drift: 1. What are the key components of the system used to identify transient data drift? 2. How does the system differentiate between transient data drift and permanent data drift?

Original Abstract Submitted

Methods and systems for identifying transient data drift while performing anomaly detection in a distributed environment are disclosed. To identify transient data drift, a system may include an anomaly detector and one or more data collectors. The anomaly detector may identify a first data drift using a first pair of inference models. The anomaly detector may obtain additional data from the one or more data collectors and determine whether a second data drift has occurred using a second pair of inference models. If a second data drift has occurred, the anomaly detector may utilize the first pair of inference models to determine whether the first data drift was a transient data drift. If the first data drift was a transient data drift, the second pair of inference models may be replaced with the first pair of inference models.