From Access Control Models to Access Control Metamodels: A Survey

2019 ◽  
pp. 892-911 ◽  
Author(s):  
Nadine Kashmar ◽  
Mehdi Adda ◽  
Mirna Atieh
Keyword(s):  
Access Control ◽  
Access Control Models ◽  
Control Models

scholarly journals Preserving Privacy in Multimedia Social Networks Using Machine Learning Anomaly Detection

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Randa Aljably ◽  
Yuan Tian ◽  
Mznah Al-Rodhaan
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Access Control ◽  
Anomaly Detection ◽  
Privacy Preservation ◽  
Support Vector ◽  
Detection Techniques ◽  
Access Control Models ◽  
Control Models ◽  
Multimedia Social Networks

Nowadays, user’s privacy is a critical matter in multimedia social networks. However, traditional machine learning anomaly detection techniques that rely on user’s log files and behavioral patterns are not sufficient to preserve it. Hence, the social network security should have multiple security measures to take into account additional information to protect user’s data. More precisely, access control models could complement machine learning algorithms in the process of privacy preservation. The models could use further information derived from the user’s profiles to detect anomalous users. In this paper, we implement a privacy preservation algorithm that incorporates supervised and unsupervised machine learning anomaly detection techniques with access control models. Due to the rich and fine-grained policies, our control model continuously updates the list of attributes used to classify users. It has been successfully tested on real datasets, with over 95% accuracy using Bayesian classifier, and 95.53% on receiver operating characteristic curve using deep neural networks and long short-term memory recurrent neural network classifiers. Experimental results show that this approach outperforms other detection techniques such as support vector machine, isolation forest, principal component analysis, and Kolmogorov–Smirnov test.

On the Expressive Power of Negated Conditions and Negative Authorizations in Access Control Models

2021 ◽  
pp. 102586
Author(s):  
Padmavathi Iyer ◽  
Amirreza Masoumzadeh ◽  
Paliath Narendran
Keyword(s):  
Access Control ◽  
Expressive Power ◽  
Access Control Models ◽  
Control Models

Access Control Models for Online Social Networks

2014 ◽  
pp. 451-484
Author(s):  
Rula Sayaf ◽  
Dave Clarke
Keyword(s):  
Social Networks ◽  
Access Control ◽  
Online Social Networks ◽  
Personal Data ◽  
Security And Privacy ◽  
Open Problems ◽  
Access Control Models ◽  
Control Models ◽  
Underlying Mechanisms ◽  
High Level

Access control is one of the crucial aspects in information systems security. Authorizing access to resources is a fundamental process to limit potential privacy violations and protect users. The nature of personal data in online social networks (OSNs) requires a high-level of security and privacy protection. Recently, OSN-specific access control models (ACMs) have been proposed to address the particular structure, functionality and the underlying privacy issues of OSNs. In this survey chapter, the essential aspects of access control and review the fundamental classical ACMs are introduced. The specific OSNs features and review the main categories of OSN-specific ACMs are highlighted. Within each category, the most prominent ACMs and their underlying mechanisms that contribute enhancing privacy of OSNs are surveyed. Toward the end, more advanced issues of access control in OSNs are discussed. Throughout the discussion, different models and highlight open problems are contrasted. Based on these problems, the chapter is concluded by proposing requirements for future ACMs.

Access Control Framework for Cloud Computing

2019 ◽  
pp. 698-711
Author(s):  
Kashif Munir ◽  
Lawan A. Mohammed
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Role Based Access Control ◽  
Discretionary Access Control ◽  
Job Functions ◽  
Access Control Models ◽  
Control Models ◽  
Control Framework ◽  
Role Based ◽  
Access Privileges

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.

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