Data Loss Prevention and Data Protection in Cloud Environments Based on Authentication Tokens

Bucur, Vlad; Stan, Ovidiu; Miclea, Liviu

doi:10.1109/cscs.2019.00128

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Data Loss Prevention (DLP) serves as a protective mechanism that monitors data transfers and safeguards against data loss, leakage, and unauthorized access as shown in the Table 10. Bucur et al 145 stress that data loss prevention (DLP) is an essential security measure for cloud computing because it can stop confidential data from exiting the cloud environment. DLP can be network-or host-based, and it can prevent confidential data from exiting an environment hosted in the cloud.…”

Section: Data Loss Prevention (Dlp)mentioning

confidence: 99%

Spectral Numerical Study of Entropy Generation in Magneto-Convective Viscoelastic Biofluid Flow Through Poro-Elastic Media With Thermal Radiation and Buoyancy Effects

Mallikarjuna¹,

Srinivas

Krishna³

et al. 2021

Journal of Thermal Science and Engineering Applications

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Electromagnetic high-temperature therapy is popular in medical engineering treatments for various diseases include tissue damage ablation repair, hyperthermia and oncological illness diagnosis. The simulation of transport phenomena in such applications requires multi-physical models featuring magnetohydrodynamics, biorheology, heat transfer and deformable porous media. Motivated by investigating the fluid dynamics and thermodynamic optimization of such processes, in the present article a mathematical model is developed to study the combined influence of thermal buoyancy, magnetic field and thermal radiation on the fluid and heat characteristics in electrically-conducting viscoelastic biofluid flow through a vertical deformable porous medium. Jefferys elastic-viscous model is deployed to simulate non-Newtonian characteristics of the biofluid. It is assumed that heat is generated within the fluid by both viscous and Darcy (porous matrix) dissipations. The boundary value problem is normalized with appropriate transformations. The non-dimensional biofluid velocity, solid displacement and temperature equations with appropriate boundary conditions are solved computationally using a spectral method. Verification of accuracy is conducted via monitoring residuals of the solutions and Validated with shooting technique is included. The effects of Jeffrey viscoelastic parameter, viscous drag parameter, magnetic field parameter, radiation parameter and buoyancy parameter on flow velocity, solid displacement, temperature and entropy generation are depicted graphically and interpreted at length. Increasing magnetic field and drag parameters are found to reduce the field velocity, solid displacement, temperature and entropy production. Higher magnitudes of thermal radiation parameter retard the flow and decrease Nusselt number whereas they elevate solid displacement.

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Section: Data Loss Prevention (Dlp)mentioning

confidence: 99%

Spectral Numerical Study of Entropy Generation in Magneto-Convective Viscoelastic Biofluid Flow Through Poro-Elastic Media With Thermal Radiation and Buoyancy Effects

Mallikarjuna¹,

Srinivas

Krishna³

et al. 2021

Journal of Thermal Science and Engineering Applications

View full text Add to dashboard Cite

show abstract

“…Nevertheless, employing these techniques requires a substantial number of rules, which can result in a decline in detection accuracy due to an increase in false positives. 145 Costante et al 146 introduced Key management can be challenging, especially for large organizations with complex encryption requirements.…”

Section: Data Loss Prevention (Dlp)mentioning

confidence: 99%