Sentence examples for modification or data from inspiring English sources

Exact(1)

In contrast to previously proposed privacy-preserving schemes for the Smart Grid, we demonstrate the superiority of our proposed approach in terms of its low transmission and message overheads, and resiliency against a wide range of session key attacks, and ability to maintain data integrity against unauthorized modification or data forgery and to ensure authenticity of smart meters' data.

Similar(59)

Therefore inspection or modification of data or software by the Cloud provider cannot be ruled out.

Any circumstance or event with the potential to adversely affect a system through unauthorised access, destruction, disclosure, or modification of data, or denial of service.

A systematic review and meta-analysis [ 11] showed that an average of 2% of scientists admitted serious forms of misconduct (fabrication, falsification or modification of data or results) at least once.

The single-valued streamflow forecasts reflect various run-time modifications, or "manual data assimilation", applied by the human forecasters in an attempt to reduce error from various sources in the end-to-end forecast process.

Falsification includes purposeful manipulation, modification, or omission of data or results.

The first computer crimes were recognized in the 1978 Florida Computer Crimes Act, which included legislation against the unauthorized modification or deletion of data on a computer system.

4. Appropriate measures including security plans shall be adopted, inter alia, to prevent the unauthorised reading, copying, modification or deletion of personal data during transfers of personal data or during transportation of data media in particular by means of appropriate encryption techniques.

Data pre-processing steps such as transformations, re-coding, re-scaling, normalization, truncation, and handling of below detectable level readings and outliers should be fully described; any removal or modification of data values must be fully acknowledged and justified.

Its novel design links query syntax with abstracted data distributions, enabling users to parameterize their query workload to match an emerging access pattern or data set modification.

The issue of uncertainty can be further managed through scenario analyses based on the modification of the underlying assumptions or data sources of the model.

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