How to Update Dependable Secure Computing Systems from a Survivability Assessment Perspective?

Bai, Li; Biswas, Saroj; Sendaula, M.

doi:10.1109/isdasc.2007.4351393

Cited by 1 publication

(2 citation statements)

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“…The same model but based on the survivability assessment technique that has been discussed in [2]. In this paper, the survivability of the dependable secure computing system can be computed as follows …”

Section: Comparison With Survivability Modelmentioning

confidence: 99%

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Optimal Updating Time Using Theory of Reliability

Xiong

Korostelev

et al. 2008

2008 14th IEEE International Conference on Parallel and Distributed Systems

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In this paper, we use reliability theory to determine the answer of an important question about how often we need to update a piece of secure information. For example, one may need to determine an appropriate time for updating a new password. To generalize, we compute an efficient updating time for a dependable secure computing (DSC) system which stores secret information in a reliable and secure fashion among n servers. The secret information can be reconstructed by successfully connecting to any k servers (k ≤ n), but cannot be revealed by using (k − 1) or fewer servers. Generally, the secret information has to be updated in the system in order to prevent adversaries from learning secret information by breaking into k servers in a DSC system. There are serval proposed procedures to update secret information, but few has been able to determine what an appropriate updating time on a DSC system is. To achieve the most reliable way to safeguard the secret information, we developed an interesting approach to compute the updating time on a DSC system from the reliability point of view.

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Section: Comparison With Survivability Modelmentioning

confidence: 99%

“…In conclusion, we present a different approach to determine the optimal updating time using the reliability theory.This approach is different than the analysis using the survivability assessment [2]. Conceptually, We believe that we need integrate these two different approaches.…”

Section: Comparison With Survivability Modelmentioning

confidence: 99%