Presentation 2010-03-11
Data Reduction Method for Tracing based Pre-patch Impact Analysis
Kenji HORI, Kiyohito YOSHIHARA,
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Abstract(in English) Patching of applications on servers and PCs is a significant source of expense and frustration for IT staff. Organizations are concerned that patches will negatively impact the stability of their existing applications, and this concern results in significant delays in applying patches to publicly announced vulnerabilities of the applications. While Tracing based Pre-patch Impact Analysis method (T-PIA) is an effective way of measuring the actual impact of recent patches on the applications, it causes large storage and bandwidth usage of servers and PCs running the applications. We propose and evaluate a method to reduce such usage caused by T-PIA. Compared to the existing method, our method reduces storage and bandwidth usage by 83 and 89%, respectively. This verifies the ability of our method to reduce such usage.
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Keyword(in English) Software Management / Patch Impact Analysis / Kernel Tracing
Paper # ICM2009-53
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Conference Information
Committee ICM
Conference Date 2010/3/4(1days)
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Paper Information
Registration To Information and Communication Management(ICM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data Reduction Method for Tracing based Pre-patch Impact Analysis
Sub Title (in English)
Keyword(1) Software Management
Keyword(2) Patch Impact Analysis
Keyword(3) Kernel Tracing
1st Author's Name Kenji HORI
1st Author's Affiliation KDDI R&D Laboratories Inc.()
2nd Author's Name Kiyohito YOSHIHARA
2nd Author's Affiliation KDDI R&D Laboratories Inc.
Date 2010-03-11
Paper # ICM2009-53
Volume (vol) vol.109
Number (no) 463
Page pp.pp.-
#Pages 6
Date of Issue