Impact of Meltdown and Spectre Threats in Parallel Processing

Sneha B. Antony (), M. Ragul () and N. Jayapandian ()
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Sneha B. Antony: CHRIST (Deemed to be University), Department of Computer Science and Engineering
M. Ragul: CHRIST (Deemed to be University), Department of Computer Science and Engineering
N. Jayapandian: CHRIST (Deemed to be University), Department of Computer Science and Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 275-282 from Springer

Abstract: Abstract Threat characterization is critical for associations, as it is an imperative move towards execution of data security. Vast majority of the current threat characterizations recorded threats in static courses without connecting risks to information system zones. The aim of this paper is to represent each threat in different areas of the information system the methodology to solve the problem. Data security is habitually represented to different kinds of threats which may cause distinctive types of harms that can prompt to critical monetary losses. Data security problems can go from small losses to entire data framework destruction. The effect of various threats vary extensively: some manipulate the integrity or confidentiality of information while others manipulate the accessibility of a framework. At present, associations are trying to comprehend what are the threats to their data resources are and what are the ways to get the significant intends to combat them which keep on representing a challenge.

Keywords: Data security; Information security; Meltdown; Parallel processing; Spectre; Threats (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_25

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DOI: 10.1007/978-3-030-41862-5_25

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