Pre-Grant Publication Number: 20110040719
View Prior Art submitted by the community. You can see full text, rate and annotate the Prior Art by clicking on
any of the listed Prior Art references. You can also click on the name of the person who submitted art to view their profile
and any other Prior Art they have previously submitted.
How to Rate Prior Art
Rating Prior Art - Click the thumbs up or down to indicate if a submission is relevant enough to the claims of the application to deserve a spot in the Top 10 submissions that will be forwarded to the patent examiner. Rating should be based only on relevance. For an explanation of prior art, please visit the Tutorial Page.
Rating Prior Art - Click the thumbs up or down to indicate if a submission is relevant enough to the claims of the application to deserve a spot in the Top 10 submissions that will be forwarded to the patent examiner. Rating should be based only on relevance. For an explanation of prior art, please visit the Tutorial Page.

Prior Art (3)
Title http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7166
ISBN 0-7695-0884-7
Description
An assessment methodology is described and
illustrated. This methodology separates assessment into
the following phases ( I ) Elicitation of requirements; (2)
Elicitation of failure modes and their impact (risk of loss
of requirements); (3) Elicitation of failure mode
mitigations and their effectiveness (degree of reduction of
failure modes); (4) Calculation of outstanding risk taking
the mitigations into account.
Patent/Application # 20110010130
Description
A system for monitoring the health of a component includes a memory configured to store a health management system for evaluating the health of the component.
#1028Network Intrusion and Failure Detection System with Statistical Analyses of Packet Headers
Applies to Claims 1
Title Network Intrusion and Failure Detection System with Statistical Analyses of Packet Headers
ISBN 0-7695-2359-5/05
Description
In this research, practical application for quasi-realtime intrusion and network failure
detection was designed and implemented. IP packet headers are counted at the monitoring
point and summarized in every 5 minutes. Then four kind of statistical analyses are applied
to the 5-minute summaries to find a sudden increase/decrease. As the result, the developed
application works fine with a standard desktop PC. Warnings were reported in at most 1
minute after every 5-minute summary. In addition to the warning report, Web interfaces
were implemented to help the administrator to trace the cause of a warning.
0 days left








