scholarly journals A Novel Approach based on Bucketization for Privacy Preserving Access Control Mechanism for Relational Data

2018 ◽  
Vol 182 (6) ◽  
pp. 15-18
Author(s):  
Anuja A. ◽  
A. B.
Keyword(s):  
Access Control ◽  
Control Mechanism ◽  
Privacy Preserving ◽  
Relational Data ◽  
Novel Approach ◽  
Access Control Mechanism

Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data

2014 ◽  
Vol 26 (4) ◽  
pp. 795-807 ◽  
Author(s):  
Zahid Pervaiz ◽  
Walid G. Aref ◽  
Arif Ghafoor ◽  
Nagabhushana Prabhu
Keyword(s):  
Access Control ◽  
Control Mechanism ◽  
Privacy Preserving ◽  
Relational Data ◽  
Access Control Mechanism

scholarly journals An Ontological Representation of an Adaptive Access Control Mechanism for Enterprise Cloud

2020 ◽  
Vol 8 (5) ◽  
pp. 2390-2396
Keyword(s):  
Resource Allocation ◽  
Access Control ◽  
Control Mechanism ◽  
Peak Load ◽  
Role Based Access Control ◽  
Control Policies ◽  
Access Control Policies ◽  
Novel Approach ◽  
Access Control Mechanism ◽  
Security Concern

With the increased development of cloud computing, access control is of paramount importance as a security concern. Numerous access control approaches exist in various published works. Among such prevalent approaches, Role Based Access Control (RBAC) model for enterprise cloud is scope of the present study. Nowadays, resource management, along with the primary aspect of security concern, is also addressed by the access control policies through restricting the allocation of the computing resources based on the roles assigned to the users. Keeping in view of the upcoming peak-load requirements or certain constraints, the policies may have ineffective resource allocation which leads to over/under-utilization of the resources over a period of time. So, an adaptive access control mechanism is desired that can vary their policies dynamically for resource allocation depending upon the ongoing requirements, for its efficient utilization. This is presented in the form of an adaptive access control mechanism (AACM) that aims to effectively utilize the computing resources in the enterprise cloud. It will aid in identifying the over- and under-allocation of the computing resources defined as access control policies and redefine these policies so as to ensure efficient and effective usage of the enterprise cloud resources. In this paper, this novel approach to access control mechanism for the enterprise cloud is represented using ontologies developed in Protégé. This is developed by identification of the underlying concepts and their interrelationships through properties, in the enterprise cloud. The presented ontology is for the sake of knowledge representation to represent knowledge and facts.

scholarly journals P2DF - A Privacy-Preserving Digital Forensics Framework

2021 ◽  
Vol 13 (6) ◽  
pp. 0-0
Keyword(s):  
Access Control ◽  
Digital Forensics ◽  
Control Mechanism ◽  
Privacy Preserving ◽  
Digital Evidence ◽  
Digital Devices ◽  
Private Data ◽  
Access Control Mechanism ◽  
Investigation Process

The extensive use of digital devices by individuals generates a significant amount of private data which creates challenges for investigation agencies to protect suspects' privacy. Existing digital forensics models illustrate the steps and actions to be followed during an investigation, but most of them are inadequate to investigate a crime with all the processes in an integrated manner and do not protect suspect's privacy. In this paper, we propose the development of a privacy-preserving digital forensics (P2DF) framework, which facilitates investigation through maintaining confidentiality of the suspects through various privacy standards and policies. It includes an access control mechanism which allows only authorized investigators to access private data and identified digital evidences. It is also equipped with a digital evidence preservation mechanism which could be helpful for the court of law to ensure the authenticity, confidentiality, and reliability of the evidences, and to verify whether privacy of the suspect was preserved during the investigation process.

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