Abstract
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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Hori, K., Yoshihara, K. (2009). Proposal and Evaluation of Data Reduction Method for Tracing Based Pre-patch Impact Analysis. In: Hong, C.S., Tonouchi, T., Ma, Y., Chao, CS. (eds) Management Enabling the Future Internet for Changing Business and New Computing Services. APNOMS 2009. Lecture Notes in Computer Science, vol 5787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04492-2_5
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DOI: https://doi.org/10.1007/978-3-642-04492-2_5
Publisher Name: Springer, Berlin, Heidelberg
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