A Survey of Trust and Trust Management in Cloud Computing

2013 ◽  
pp. 53-82
Keyword(s):  
Cloud Computing ◽  
Trust Management

Trust Management in Cloud Computing

2019 ◽  
pp. 1686-1711
Author(s):  
Vijay L. Hallappanavar ◽  
Mahantesh N. Birje
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Management System ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Service ◽  
Network Access ◽  
Trust Value ◽  
Trust Management System ◽  
Computing Services

Cloud computing is a model for enabling everywhere, suitable, on-demand network access. There are a number of challenges to provide cloud computing services and to accomplish this, it is necessary to establish trust across the cloud, between the user and the service provider. It is becoming increasingly complex for cloud users to make distinction among service providers offering similar kinds of services. There must be some mechanisms in the hands of users to determine trustworthiness of service providers so that they can select service providers with confidence and with some degree of assurance that service provider will not behave unpredictably or maliciously. An effective trust management system helps cloud service providers and consumers reap the benefits brought about by cloud computing technologies. Hence the objective of this chapter is to describe existing mechanisms that are used to determine a trust worthiness of a cloud service, various models that are used for calculating a trust value and method to establish trust management system.

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.

scholarly journals Building a Reputation Attack Detector for Effective Trust Evaluation in a Cloud Services Environment

2021 ◽  
Vol 11 (18) ◽  
pp. 8496
Author(s):  
Salah T. Alshammari ◽  
Khalid Alsubhi
Keyword(s):  
Cloud Computing ◽  
Trust Management ◽  
Trust Model ◽  
Cloud Services ◽  
Security Risk ◽  
Privacy And Security ◽  
Collusion Attack ◽  
Inappropriate Behaviors ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is versatile, and extensive amounts of data can be stored in the cloud. Businesses can access various services over the cloud without having to install applications. However, cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Although there are a number of advantages to cloud computing services, especially for business owners, various challenges are posed in terms of the privacy and security of information and online services. A threat that is widely faced in the cloud environment is the on/off attack, in which entities exhibit proper behavior for a given time period to develop a positive reputation and gather trust, after which they exhibit deception. Another threat often faced by trust management services is a collusion attack, which is also known as collusive malicious feedback behavior. This is carried out when a group of people work together to make false recommendations with the intention of damaging the reputation of another party, which is referred to as a slandering attack, or to enhance their own reputation, which is referred to as a self-promoting attack. In this paper, a viable solution is provided with the given trust model for preventing these attacks. This method works by providing effective security to cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on/off attacks and collusion attacks by applying different security criteria. Finally, the results show that the proposed trust model system can provide high security by decreasing security risk and improving the quality of decisions of data owners and cloud operators.

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