Blockchain-Enabled Decentralized Trust Management and Secure Usage Control of IoT Big Data

2020 ◽  
Vol 7 (5) ◽  
pp. 4000-4015 ◽  
Author(s):  
Ma Zhaofeng ◽  
Wang Lingyun ◽  
Wang Xiaochang ◽  
Wang Zhen ◽  
Zhao Weizhe
Keyword(s):  
Big Data ◽  
Trust Management ◽  
Usage Control

Information-centric trust management for big data-enabled IoT

2019 ◽  
pp. 411-431
Author(s):  
Usama Ahmed ◽  
Imran Raza ◽  
Syed Asad Hussain
Keyword(s):  
Big Data ◽  
Trust Management

FinTech and SMEs

2019 ◽  
pp. 14-41 ◽  
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

FinTech and SMEs

2021 ◽  
pp. 667-688
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

Trust-Based Usage Control in Collaborative Environment

2010 ◽  
pp. 751-765
Author(s):  
Li Yang ◽  
Chang Phuong ◽  
Amy Novobilski ◽  
Raimund K. Ege
Keyword(s):  
Access Control ◽  
Trust Management ◽  
Partial Information ◽  
Usage Control ◽  
Trust Value ◽  
Access Control Models ◽  
Control Rules ◽  
Collaborative Environment ◽  
Access Control Rules ◽  
Resources Sharing

Most access control models have formal access control rules to govern the authorization of a request from a principal. In pervasive and collaborative environments, the behaviors of a principal are uncertain due to partial information. Moreover, the attributes of a principal, requested objects, and contexts of a request are mutable during the collaboration. A variety of such uncertainty and mutability pose challenges when resources sharing must happen in the collaborative environment. In order to address the above challenges, we propose a framework to integrate trust management into a usage control model in order to support decision making in an ever-changing collaborative environment. First, a trust value of a principal is evaluated based on both observed behaviors and peer recommendations. Second, the usage-based access control rules are checked to make decisions on resource exchanges. Our framework handles uncertainty and mutability by dynamically disenrolling untrusted principals and revoking granted on-going access if access control rules are no longer met. We have applied our trust-based usage control framework to an application of file sharing.

FinTech and SMEs

2021 ◽  
pp. 261-282
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

scholarly journals Enhancing Trust Management for Wireless Intrusion Detection via Traffic Sampling in the Era of Big Data

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 7234-7243 ◽  
Author(s):  
Weizhi Meng ◽  
Wenjuan Li ◽  
Chunhua Su ◽  
Jianying Zhou ◽  
Rongxing Lu
Keyword(s):  
Big Data ◽  
Intrusion Detection ◽  
Trust Management

Trust-Based Usage Control in Collaborative Environment

2011 ◽  
pp. 216-230
Author(s):  
Li Yang ◽  
Chang Phuong ◽  
Andy Novobilski ◽  
Raimund K. Ege
Keyword(s):  
Access Control ◽  
Trust Management ◽  
Partial Information ◽  
Usage Control ◽  
Trust Value ◽  
Access Control Models ◽  
Control Rules ◽  
Collaborative Environment ◽  
Access Control Rules ◽  
Resources Sharing

Most access control models have formal access control rules to govern the authorization of a request from a principal. In pervasive and collaborative environments, the behaviors of a principal are uncertain due to partial information. Moreover, the attributes of a principal, requested objects, and contexts of a request are mutable during the collaboration. A variety of such uncertainty and mutability pose challenges when resources sharing must happen in the collaborative environment. In order to address the above challenges, we propose a framework to integrate trust management into a usage control model in order to support decision making in an ever-changing collaborative environment. First, a trust value of a principal is evaluated based on both observed behaviors and peer recommendations. Second, the usage-based access control rules are checked to make decisions on resource exchanges. Our framework handles uncertainty and mutability by dynamically disenrolling untrusted principals and revoking granted on-going access if access control rules are no longer met. We have applied our trust-based usage control framework to an application of file sharing.

Trust-Based Usage Control in Collaborative Environment

2011 ◽  
pp. 242-256
Author(s):  
Li Yang ◽  
Chang Phuong ◽  
Andy Novobilski ◽  
Raimund K. Ege
Keyword(s):  
Access Control ◽  
Trust Management ◽  
Partial Information ◽  
Usage Control ◽  
Trust Value ◽  
Access Control Models ◽  
Control Rules ◽  
Collaborative Environment ◽  
Access Control Rules ◽  
Resources Sharing

Most access control models have formal access control rules to govern the authorization of a request from a principal. In pervasive and collaborative environments, the behaviors of a principal are uncertain due to partial information. Moreover, the attributes of a principal, requested objects, and contexts of a request are mutable during the collaboration. A variety of such uncertainty and mutability pose challenges when resources sharing must happen in the collaborative environment. In order to address the above challenges, we propose a framework to integrate trust management into a usage control model in order to support decision making in an ever-changing collaborative environment. First, a trust value of a principal is evaluated based on both observed behaviors and peer recommendations. Second, the usage-based access control rules are checked to make decisions on resource exchanges. Our framework handles uncertainty and mutability by dynamically disenrolling untrusted principals and revoking granted on-going access if access control rules are no longer met. We have applied our trust-based usage control framework to an application of file sharing.

Sign in / Sign up

Export Citation Format

Share Document