Safety in discretionary access control for logic-based publish-subscribe systems

Author(s):  
Kazuhiro Minami ◽  
Nikita Borisov ◽  
Carl A. Gunter
2012 ◽  
pp. 1403-1424
Author(s):  
Alejandro Enrique Flores ◽  
Khin Than Win ◽  
Willy Susilo

Protecting the confidentiality of a patient’s information in a shared care environment could become a complex task. Correct identification of users, assigning of access permissions, and resolution of conflict rise as main points of interest in providing solutions for data exchange among health care providers. Traditional approaches such as Mandatory Access Control, Discretionary Access control and Role-Based Access Control policies do not always provide a suitable solution for health care settings, especially for shared care environments. The core of this contribution consists in the description of an approach which uses attribute-based encryption to protect the confidentiality of patients’ information during the exchange of electronic health records among healthcare providers. Attribute-based encryption allows the reinforcing of access policies and reduces the risk of unauthorized access to sensitive information; it also provides a set of functionalities which are described using a case study. Attribute-based encryption provides an answer to restrictions presented by traditional approaches and facilitate the reinforcing of existing security policies over the transmitted data.


Author(s):  
Kai Ouyang ◽  
Xiaowen Chu ◽  
Yixin Jiang ◽  
Hsiao-Hwa Chen ◽  
Jiangchuan Liu

2019 ◽  
pp. 698-711
Author(s):  
Kashif Munir ◽  
Lawan A. Mohammed

Access control is generally a rule or procedure that allows, denies, restricts or limit access to system's resources. It may, as well, monitor and record all attempts made to access a system. Access Control may also identify users attempting to access unauthorized resources. It is a mechanism which is very much important for protection in computer security. Various access control models are in use, including the most common Mandatory Access Control (MAC), Discretionary Access Control (DAC) and Role Based Access Control (RBAC). All these models are known as identity based access control models. In all these access control models, user (subjects) and resources (objects) are identified by unique names. Identification may be done directly or through roles assigned to the subjects. These access control methods are effective in unchangeable distributed system, where there are only a set of Users with a known set of services. For this reason, we propose a framework which is well suited to many situations in cloud computing where users or applications can be clearly separated according to their job functions. In this chapter, we proposes a role based access control framework with various features including security of sensitive data, authorization policy and secure data from hackers. Our proposed role based access control algorithm provides tailored and fine level of user access control services without adding complexity, and supports access privileges updates dynamically when a user's role is added or updated.


2018 ◽  
Vol 7 (4.6) ◽  
pp. 49
Author(s):  
Rajanikanth Aluvalu ◽  
Krishna Keerthi Chennam ◽  
M. A.Jabbar ◽  
Shaik Sarfaraz Ahamed

Secure interactions between collaborative organizations having their applications and data stored in “Cloud Computing” are a critical issue. Access control is the biggest challenge and trust is regarded as an essential secured relationship within a distributed system. Basic access control models, like Discretionary Access Control, Mandatory Access Control, and Role Based Access Control, cannot satisfy requirements in such environment, and need some improvements. During the collaboration, the attitude of the user may change. Therefore, in this context, adding trust management to an access control model is mandatory. To achieve this goal, in this paper, a new trust model to control access in the cloud is proposed. The aim is to monitor in real-time security for collaborative organizations, having decided to migrate to the cloud.  


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