A User Profile Based Access Control Model and Architecture

Zerkouk, Meriem; M’Hamed, Abdallah; Messabih, Belhadri

doi:10.5121/ijcnc.2013.5112

Cited by 8 publications

(6 citation statements)

References 9 publications

(5 reference statements)

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“…These proposals should then guide the elaboration of models for extensive trace-driven simulations so that numerical observations could therefore be obtained; (ii) to study live streaming on the Internet to evaluate the eventual changes or adaptations that should occur in BitTorrent's peer selection and piece selection policies, respectively. This would certainly help the design of novel BitTorrent-like protocols targeted at the requirements of live streaming services [1,29]; lastly, to analyse the influences of the personalization and adaptation to the client´s capability profile as well as of the Network Address Translation (NAT) service on the design of P2P streaming protocols [34,35].…”

Section: Discussionmentioning

confidence: 99%

On Client’s Interactive Behaviour to Design Peer Selection Policies for Bittorrent-Like Protocols

Rocha¹,

Rodrigues²

2013

IJCNC

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Peer-to-peer swarming protocols have been proven to be very efficient for content replication over Internet. This fact has certainly motivated proposals to adapt these protocols to meet the requirements of on-demand streaming system. The vast majority of these proposals focus on modifying the piece and peer selection policies, respectively, of the original protocols. Nonetheless, it is true that more attention has often been given to the piece selection policy rather than to the peer selection policy. Within this context, this article proposes a simple algorithm to be used as basis for peer selection policies of BitTorrent-like protocols, considering interactive scenarios. To this end, we analyze the client's interactive behaviour when accessing real multimedia systems. This analysis consists of looking into workloads of real content providers and assessing three important metrics, namely temporal dispersion, spatial dispersion and object position popularity. These metrics are then used as the main guidelines for writing the algorithm. To the best of our knowledge, this is the first time that the client's interactive behaviour is specially considered to derive an algorithm for peer selection policies. Finally, the conclusion of this article is drawn with key challenges and possible future work in this research field.

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Section: Discussionmentioning

confidence: 99%

On Client’s Interactive Behaviour to Design Peer Selection Policies for Bittorrent-Like Protocols

Rocha¹,

Rodrigues²

2013

IJCNC

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“…For instance, the increased HR is considered as critical for a speci c patient in case that his healthcare situation, his activity levels or his age are taken into account. Zerkouk et al [30] suggested an adaptable access control paradigm and its related architecture, where the security policy is based on an analysis of the user's monitored behavior. Røstad et al [31] introduced a mechanism for personalized access control in health records.…”

Section: Manasa Et Almentioning

confidence: 99%

Permissioned Blockchain Network for Proactive Access Control to Electronic Health Records

Psarra

Apostolou

Verginadis

et al. 2023

Preprint

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Background As digital healthcare services handle increasingly more sensitive health data, robust access control methods are required. Especially in emergency conditions, where the patient’s health situation is in peril, different healthcare providers associated with critical cases may need to be granted permission to acquire access to Electronic Health Records (EHRs) of patients. The research objective of our work is to develop a proactive access control method that can grant emergency clinicians access to sensitive health data, guaranteeing the integrity and security of the data, and generating trust without the need for a trusted third party.Methods To enable proactivity, we apply Long Short Term Memory (LSTM) Neural Networks (NNs) that utilize patient’s recent health history to prognose the next two-hour health metrics values. Fuzzy logic is used to evaluate the severity of the patient’s health state. These techniques are incorporated in a private and permissioned Hyperledger-Fabric blockchain network, capable of securing patient’s sensitive information in the blockchain network.Results Integrating this predictive mechanism within the blockchain network proved to be a robust tool to enhance the performance of the access control mechanism. Furthermore, our blockchain network can record the history of who and when had access to a specific patient’s sensitive EHRs, guaranteeing the integrity and security of the data.Conclusions Our proposed mechanism informs proactively the emergency team about patients’ critical situations by combining fuzzy and predictive techniques, and it exploits the distributed data of the blockchain network, guaranteeing the integrity and security of the data, and enhancing the users’ trust to the mechanism.

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“…In (Sujansky et al, 2010), the authors have described the design and implementation of an access-control mechanism for PHR repositories, that is modeled on the eXtensible Access Control Markup Language (XACML) standard. (Zerkouk et al, 2013) have presented a novel adaptable access control model and its related architecture. The security policy is based on the handicap situation analyzed from the monitoring of user's behavior, in order to grant a service using any assistive device within intelligent environment.…”

Section: Background and Literature Related To Access Controlmentioning

confidence: 99%

Context-aware pseudonymization and authorization model for IoT-based smart hospitals

Zemmoudj

Bermad

Omar

2018

J Ambient Intell Human Comput

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Smart hospital is a healthcare infrastructure that uses IoT technology. This intelligent space allows to collaborate a several health actors via their IoT devices. This coordination improves the quality and continuity of health services for better patient care. However, uncontrolled access to patient information can disrupt the smooth running of hospital services. In this paper, we aim to secure the information of patient exchanged and shared, using the privacy and access control based on the context. We develop two protocols, the first is a context-aware pseudonym service. It protects the patient's personal and health information in two smart space hospital and home. Furthermore, we prevent the disclosure of the patient's location during his hospital stay. The second is an authorization and delegation protocol based on trust, context and role. It oversees the actions and interactions of health body with the smart bracelet object of patient. Our protocol uses the context to generate a set of roles with their trust values. Only one role is activated if its trust value is greater than or equal to a trust threshold. A dynamic delegation mechanism is created to better manage the interactions between health bodies. We demonstrate through the practical analysis as well as generation time overhead, storage overhead and response time requirement the efficiency and robustness of our proposed protocols.

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A User Profile Based Access Control Model and Architecture

Cited by 8 publications

References 9 publications

On Client’s Interactive Behaviour to Design Peer Selection Policies for Bittorrent-Like Protocols

On Client’s Interactive Behaviour to Design Peer Selection Policies for Bittorrent-Like Protocols

Permissioned Blockchain Network for Proactive Access Control to Electronic Health Records

Context-aware pseudonymization and authorization model for IoT-based smart hospitals

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