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Most current approaches mitigate data exchanges between buffers and disks by migrating workload to memories.
SecureDIS is a framework that helps system designers to mitigate data leakage threats during the early phases of DIS development.
The software basically gives IT admins tools to prevent and mitigate data breaches, ensure compliance, and expand threat visibility on employee mobile phones.
SecureDIS is a framework that helps system designers to mitigate data leakage threats during the early phases of the DIS development.
In order to mitigate data leakage threats, SecureDIS argues that it is very important to enforce security policies that satisfy Confidentiality, Privacy, and Trust CPTT) properties.
The framework consists of three main components: (a) a reference architecture of the DIS; (b) a list of data leakage threats mapped to DIS architectural components; and (c) a set of guidelines to mitigate data leakage threats.
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In case of channel estimation, the feedback information from the decoders can be used to mitigate the data layer interference[8]: By means of data layer interference cancellation (DIC), improved channel estimates are obtained, which in turn lead to improved data estimates.
The study further documented evidence that a statewide or regional HIE can employ methods to mitigate ELR data deficiencies, leading to improvements in the completeness of ELR data prior to transmission to public health agencies.
In this paper, a method to mitigate silent data corruptions (SDCs) is proposed.
This result confirms that the presented DF method can effectively mitigate the data interferences, and thus providing a feasible solution for ST-based doubly selective channel estimation.
A similar scheme was proposed by Siani et al. [36] to mitigate the data protection risks using a privacy management architecture.
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