Patent №
US 8,069,374
Granted
2011-11-29
Filed 2009
Owner
MICROSOFT CORPORATION
Lab
AI components
4
vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12394451
A technique for automatically detecting and correcting configuration errors in a computing system. In a learning process, recurring event sequences, including e.g., registry access events, are identified from event logs, and corresponding rules are developed. In a detecting phase, the rules are applied to detected event sequences to identify violations and to recover from failures. Event sequences across multiple hosts can be analyzed. The recurring event sequences are identified efficiently by flattening a hierarchical sequence of the events such as is obtained from the Sequitur algorithm. A trie is generated from the recurring event sequences and edges of nodes of the trie are marked as rule edges or non-rule edges. A rule is formed from a set of nodes connected by rule edges. The rules can be updated as additional event sequences are analyzed. False positive suppression policies include a violation-consistency policy and an expected event disappearance policy.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 223240781
Assignors
PANIGRAHY, RINA, VERBOWSKI, CHAD, XIE, YINGLIAN, YANG, JUNFENG, YUAN, DING
On an employer assignment, the assignors are typically the inventors.