18046798. CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME simplified abstract (Dell Products L.P.)
Contents
- 1 CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME - 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
CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME
Organization Name
Inventor(s)
Ofir Ezrielev of Beer Sheva (IL)
Jehuda Shemer of Kfar Saba (IL)
Amihai Savir of Newton MA (US)
CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME - A simplified explanation of the abstract
This abstract first appeared for US patent application 18046798 titled 'CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME
Simplified Explanation
The method described in the abstract involves accessing a group of Point-In-Time snapshots, replaying them in chronological order, analyzing them as they are replayed, and identifying events that occurred within a specific time frame covered by the snapshots.
- Accessing a group of Point-In-Time snapshots
- Replaying the snapshots in chronological order
- Analyzing the snapshots as they are replayed
- Identifying events that occurred within a specific time frame
Potential Applications
This technology could be applied in data analysis, event detection, and system monitoring.
Problems Solved
This technology helps in identifying events and patterns within a set of data that may not be easily observable without replaying and analyzing the snapshots.
Benefits
The method provides a way to track events over time, detect anomalies, and gain insights from historical data.
Potential Commercial Applications
"Real-Time Event Detection and Analysis Technology for Data Monitoring"
Possible Prior Art
There may be prior art related to data analysis tools, event detection algorithms, and snapshot replay techniques.
Unanswered Questions
How does this method handle large volumes of data efficiently?
The abstract does not provide details on the scalability of the method or how it manages processing a large number of snapshots.
What types of events can be identified using this technology?
The abstract does not specify the range or nature of events that can be detected using this method.
Original Abstract Submitted
A method includes accessing a group that comprises a group of PITs, replaying the PITs according to respective times at which the snapshots were taken, analyzing the PITs as they are being replayed, and based on the analyzing, identifying an event that has occurred within a time frame spanned collectively by the PITs. Replaying the PITs includes presenting the PITs, in order from oldest to newest, as a continuous stream of events.
