Distributed data usage control for web applications

2011 ◽  
Author(s):  
Prachi Kumari ◽  
Alexander Pretschner ◽  
Jonas Peschla ◽  
Jens-Michael Kuhn
Keyword(s):  
Web Applications ◽  
Distributed Data ◽  
Usage Control ◽  
Data Usage

Evaluation Methodology for Distributed Data Usage Control Solutions

2020 ◽  
Author(s):  
Gonzalo Gil ◽  
Aitor Arnaiz ◽  
Francisco Javier Diez ◽  
Maria Victoria Higuero
Keyword(s):  
Evaluation Methodology ◽  
Distributed Data ◽  
Usage Control ◽  
Data Usage

Methods for detecting and correcting contextual data quality problems

2021 ◽  
Vol 25 (4) ◽  
pp. 763-787
Author(s):  
Alladoumbaye Ngueilbaye ◽  
Hongzhi Wang ◽  
Daouda Ahmat Mahamat ◽  
Ibrahim A. Elgendy ◽  
Sahalu B. Junaidu
Keyword(s):  
Data Quality ◽  
Quality Evaluation ◽  
Web Applications ◽  
Support Vector ◽  
Similarity Metrics ◽  
Distributed Data ◽  
Contextual Data ◽  
Formal Taxonomy ◽  
E Learning ◽  
High Scalability

Knowledge extraction, data mining, e-learning or web applications platforms use heterogeneous and distributed data. The proliferation of these multifaceted platforms faces many challenges such as high scalability, the coexistence of complex similarity metrics, and the requirement of data quality evaluation. In this study, an extended complete formal taxonomy and some algorithms that utilize in achieving the detection and correction of contextual data quality anomalies were developed and implemented on structured data. Our methods were effective in detecting and correcting more data anomalies than existing taxonomy techniques, and also highlighted the demerit of Support Vector Machine (SVM). These proposed techniques, therefore, will be of relevance in detection and correction of errors in large contextual data (Big data).

scholarly journals Architecture, Workflows, and Prototype for Stateful Data Usage Control in Cloud

2014 ◽  
Author(s):  
Aliaksandr Lazouski ◽  
Gaetano Mancini ◽  
Fabio Martinelli ◽  
Paolo Mori
Keyword(s):  
Usage Control ◽  
Data Usage

A Policy-Based Security Framework for Privacy-Enhancing Data Access and Usage Control in Grids

2011 ◽  
pp. 118-134
Author(s):  
Wolfgang Hommel
Keyword(s):  
Initial Data ◽  
Access Point ◽  
Data Access ◽  
Service Access ◽  
Privacy Management ◽  
Dominant Model ◽  
Security Framework ◽  
Usage Control ◽  
Control Phase ◽  
Data Usage

In this chapter, we first summarize an analysis of the differences between Grids and the previously dominant model of inter-organizational collaboration. Based on requirements derived thereof, we specify a security framework that demonstrates how well-established policy-based privacy management architectures can be extended to provide the required Grid-specific functionality. We also discuss the necessary steps for integration into existing service provider and service access point infrastructures. Special emphasis is put on privacy policies that can be configured by users themselves, and distinguishing between the initial data access phase and the later data usage control phase. We also discuss the challenges of practically applying the required changes to real-world infrastructures, including delegated administration, monitoring, and auditing.

scholarly journals Investigation on the Access Log Pattern of the Corporate Social Responsibility UUMWiFi among Changlun’s Community

2019 ◽  
Vol 13 (04) ◽  
pp. 140
Author(s):  
Mohamad Farhan Mohamad Mohsin ◽  
Mohd Noor Abdul Hamid ◽  
Nurakmal Ahmad Mustaffa ◽  
Razamin Ramli ◽  
Kamarudin Abdullah
Keyword(s):  
Web Applications ◽  
Daily Basis ◽  
Huge Number ◽  
Data Usage ◽  
Huge Data ◽  
The Social ◽  
New Policies ◽  
Corporate Social ◽  
Network Server ◽  
Universiti Utara Malaysia

<span>CSR UUMWiFi is a CSR project under Universiti Utara Malaysia (UUM) that provides unlimited free internet connection for the Changlun community. Launched in 2015, the service has accumulated a huge number of users with diverse background and interest. This paper aims to uncover interesting service users’ behavior by mining the usage data. To achieve that, the access log for 3 months with 24,000 online users were downloaded from the Wi-Fi network server, pre-process and analyzed. The finding reveals that there were many loyal users who have been using this service on a daily basis since 2015 and the community spent 20-60 minutes per session. Besides that, the social media and leisure based application such YouTube, Facebook, Instagram, chatting applications, and miscellaneous web applications were among the top applications accessed by the Changlun community which contributes to huge data usage. It is also found that there were few users have used the CSR UUM WiFi for academic or business purposes. The identified patterns benefits the management team in providing a better quality service for community in future and setting up new policies for the service.</span>

IntentKeeper: Intent-oriented Data Usage Control for Federated Data Analytics

2020 ◽  
Author(s):  
Flavio Cirillo ◽  
Bin Cheng ◽  
Raffaele Porcellana ◽  
Marco Russo ◽  
Gurkan Solmaz ◽  
...  
Keyword(s):  
Data Analytics ◽  
Usage Control ◽  
Data Usage
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