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Intelligent method of software inventory scan optimalization based on sensor scans

IP.com Disclosure Number: IPCOM000237868D
Publication Date: 2014-Jul-17
Document File: 2 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed method is to introduce additional type of scans, so called sensor scans (currently used in active asset scanners solutions) which are done remotely and do not consume as much resources on target machine as regular file/registry scans performed by SAM agent. One would calculate the confidence level of sensor scans by comparison with regular software inventory scan and only machines that reach confidence threshold will be scanned using that method from that point going forward (with regular scans from time to time). Also based on such alternative way to discover software, one can verify if currently used software inventory catalog content is correct and point where results of alternative scans do not match with regular scans and report possible catalog content issues.

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Intelligent method of software inventory scan optimalization based on sensor scans

Currently Software Asset Management (SAM) solution base their software inventory mostly on software catalog containing signature definitions and resource consuming file/registry scans performed by locally installed SAM agent. Drawback of such solution is high resource consumption when scans are performed. Described idea will help to limit resource consumption by using sensor (remote) scans without use of SAM agent for machines where confidence of such scans is high. It will also allow for software catalog content verification as sensor scans will provide alternative means of discovery,

which can be compared with regular scan results to find discrepancies.

Disclosed idea is to introduce additional type of scans, so called sensor scans (currently used in active asset scanners solutions) which are done remotely and do not consume as much resources on target machine as regular file/registry scans performed by SAM agent. One would calculate the confidence level of sensor scans by comparison with regular software inventory scan and only machines that reach confidence threshold will be scanned using that method from that point going forward (with regular scans from time to time). Also based on such alternative way to discover software, one can verify if

currently used software inventory catalog content is correct and point where results of alternative scans do not match with regular scan...