Privacy-Preserving Speech Analytics for Automatic Assessment of Student Collaboration

2016 ◽  
Author(s):  
Nikoletta Bassiou ◽  
Andreas Tsiartas ◽  
Jennifer Smith ◽  
Harry Bratt ◽  
Colleen Richey ◽  
...  
Keyword(s):  
Privacy Preserving ◽  
Automatic Assessment ◽  
Student Collaboration

Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

Privacy-Preserving Fingerprint Authentication Resistant to Hill-Climbing Attacks

2018 ◽  
Vol E101.A (1) ◽  
pp. 138-148 ◽  
Author(s):  
Haruna HIGO ◽  
Toshiyuki ISSHIKI ◽  
Kengo MORI ◽  
Satoshi OBANA
Keyword(s):  
Privacy Preserving ◽  
Hill Climbing

A Survey of Auditing Techniques for Privacy Preserving and Ensure Data Correctness in the Cloud

2017 ◽  
Vol 7 (1) ◽  
pp. 181-185 ◽  
Author(s):  
S Durga Bhavani ◽  
◽  
Gudlanarva Sudhakar ◽  
Mohammad Almechal ◽  
◽  
...  
Keyword(s):  
Privacy Preserving

ESTIMATING GAS AND ROCK OUTBURST RISK ON THE BASIS OF KNOWLEDGE AND EXPERIENCE – THE EXPERT SYSTEM BASED ON FUZZY LOGIC

2014 ◽  
Vol 59 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Norbert Skoczylas
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Mining Industry ◽  
Automatic Assessment ◽  
Science Field ◽  
Second Stage ◽  
Two Stages ◽  
Outburst Hazard

Abstract The Author endeavored to consult some of the Polish experts who deal with assessing and preventing outburst hazards as to their knowledge and experience. On the basis of this knowledge, an expert system, based on fuzzy logic, was created. The system allows automatic assessment of outburst hazard. The work was completed in two stages. The first stage involved researching relevant sources and rules concerning outburst hazard, and, subsequently, determining a number of parameters measured or observed in the mining industry that are potentially connected with the outburst phenomenon and can be useful when estimating outburst hazard. Then, the Author contacted selected experts who are actively involved in preventing outburst hazard, both in the industry and science field. The experts were anonymously surveyed, which made it possible to select the parameters which are the most essential in assessing outburst hazard. The second stage involved gaining knowledge from the experts by means of a questionnaire-interview. Subjective opinions on estimating outburst hazard on the basis of the parameters selected during the first stage were then systematized using the structures typical of the expert system based on fuzzy logic.

Auditing the Shared Data in Cloud through Privacy Preserving Mechanisms

2015 ◽  
Vol 2 (2) ◽  
pp. 22-30
Author(s):  
Lokanadham Naidu Vadlamudi ◽  
◽  
Srinivasulu Asadi ◽  
Keyword(s):  
Privacy Preserving ◽  
Shared Data

Privacy Preserving Data Integrity Verification in Cloud

2014 ◽  
Vol 1 (2) ◽  
pp. 25-31
Author(s):  
T. Subha ◽  
◽  
S. Jayashri ◽  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification
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