Modeling Data Protection Vulnerabilities of Cloud Systems Using Risk Patterns

2018 ◽  
pp. 1-19 ◽  
Author(s):  
Alexander Palm ◽  
Zoltán Ádám Mann ◽  
Andreas Metzger
Keyword(s):  
Data Protection ◽  
Cloud Systems ◽  
Modeling Data

scholarly journals Modeling data protection and privacy: application and experience with GDPR

2021 ◽  
Author(s):  
Damiano Torre ◽  
Mauricio Alferez ◽  
Ghanem Soltana ◽  
Mehrdad Sabetzadeh ◽  
Lionel Briand
Keyword(s):  
Data Protection ◽  
Modeling Data

Positional Estimation Within a Latent Space Model for Networks

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Susan Shortreed ◽  
Mark S. Handcock ◽  
Peter Hoff
Keyword(s):  
Random Effects ◽  
Network Data ◽  
Random Effects Models ◽  
Space Model ◽  
Network Analyses ◽  
Recent Advances ◽  
Latent Space ◽  
Latent Space Model ◽  
Modeling Data

Recent advances in latent space and related random effects models hold much promise for representing network data. The inherent dependency between ties in a network makes modeling data of this type difficult. In this article we consider a recently developed latent space model that is particularly appropriate for the visualization of networks. We suggest a new estimator of the latent positions and perform two network analyses, comparing four alternative estimators. We demonstrate a method of checking the validity of the positional estimates. These estimators are implemented via a package in the freeware statistical language R. The package allows researchers to efficiently fit the latent space model to data and to visualize the results.

Group discipline [data protection]

2007 ◽  
Vol 4 (5) ◽  
pp. 36-37
Author(s):  
N. Cater
Keyword(s):  
Data Protection

Deal or No-Deal: Does it Matter? Data Protection Predictions for Post-Brexit Britain

2020 ◽  
Vol 24 (2) ◽  
pp. 275-281
Author(s):  
Clowance Wheeler-Ozanne
Keyword(s):  
Data Protection

Radar analysis of cloud systems and their rainfall yield in Israel

2004 ◽  
Vol 53 (2) ◽  
pp. 63-76 ◽  
Author(s):  
Yair Goldreich ◽  
Hanan Mozes ◽  
Daniel Rosenfeld
Keyword(s):  
Cloud Systems

Importance of Personal Data Protection Law for Commercial Air Transport

2017 ◽  
Vol 2017 (1) ◽  
pp. 35-44
Author(s):  
Dawid Zadura
Keyword(s):  
Data Protection ◽  
Public Information ◽  
Personal Data ◽  
Air Transport ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Personal Data Protection ◽  
It Systems ◽  
Data Protection Law ◽  
The Law

Abstract In the review below the author presents a general overview of the selected contemporary legal issues related to the present growth of the aviation industry and the development of aviation technologies. The review is focused on the questions at the intersection of aviation law and personal data protection law. Massive processing of passenger data (Passenger Name Record, PNR) in IT systems is a daily activity for the contemporary aviation industry. Simultaneously, since the mid- 1990s we can observe the rapid growth of personal data protection law as a very new branch of the law. The importance of this new branch of the law for the aviation industry is however still questionable and unclear. This article includes the summary of the author’s own research conducted between 2011 and 2017, in particular his audits in LOT Polish Airlines (June 2011-April 2013) and Lublin Airport (July - September 2013) and the author’s analyses of public information shared by International Civil Aviation Organization (ICAO), International Air Transport Association (IATA), Association of European Airlines (AEA), Civil Aviation Authority (ULC) and (GIODO). The purpose of the author’s research was to determine the applicability of the implementation of technical and organizational measures established by personal data protection law in aviation industry entities.

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