Dell products l.p. (20240126870). CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME simplified abstract
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 20240126870 titled 'CYBER RECOVERY FORENSICS KIT - RUN AND OBSERVE OVER TIME
Simplified Explanation
The method described in the abstract involves accessing a group of pits, replaying them according to the times at which snapshots were taken, analyzing the pits, and identifying an event that occurred within a specific time frame covered by the pits.
- Accessing a group of pits
- Replaying the pits based on snapshot times
- Analyzing the pits during replay
- Identifying events within a time frame
Potential Applications
This technology could be applied in various fields such as data analysis, event detection, and system monitoring.
Problems Solved
This method helps in efficiently identifying events within a specific time frame, which can be crucial for various applications such as security monitoring and anomaly detection.
Benefits
The method provides a systematic approach to analyzing events based on chronological data, allowing for accurate event identification and analysis.
Potential Commercial Applications
One potential commercial application of this technology could be in the field of cybersecurity for real-time event detection and response.
Possible Prior Art
Prior art in this field may include methods for event detection and analysis in chronological data sets, but the specific approach described in this patent application may offer unique advantages in terms of efficiency and accuracy.
Unanswered Questions
How does this method handle large volumes of data?
The article does not specify how the method scales when dealing with a large number of pits or snapshots.
What kind of events can be identified using this method?
The article does not provide examples of the types of events that can be identified 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.
