Role Based Approach to Data Access in Adhoc Networks

2006 ◽  
Author(s):  
Q.A. Memon ◽  
M.S. Laghari
Keyword(s):  
Data Access ◽  
Adhoc Networks ◽  
Role Based

Cooperative Cache Replacement Policy for MANETs

2014 ◽  
Vol 6 (2) ◽  
pp. 36-47 ◽  
Author(s):  
Prashant Kumar ◽  
Naveen Chauhan ◽  
LK Awasthi ◽  
Narottam Chand
Keyword(s):  
Ad Hoc ◽  
Data Access ◽  
Data Availability ◽  
Replacement Policy ◽  
Cache Replacement ◽  
Cache Replacement Policy ◽  
Cooperative Cache ◽  
Dynamic Topology ◽  
Adhoc Networks ◽  
Hoc Networks

Mobile Adhoc Networks (MANETs) are autonomously structured multi-hop wireless links in peer to peer fashion without aid of any infrastructure network. In MANETs network topology is dynamic, as nodes are mobile. Due to this dynamic topology and multi-hop environment data availability in MANETs is low. Caching of frequently accessed data in ad hoc networks is a potential technique that can improve the data access, performance and availability. While caching the new data items, it is very important which data item is to be removed, as in MANETs the data is not stored only on behalf of caching node but interest of the vicinity is also considered. In this paper the authors presented a new cache replacement policy for MANETs. This policy is based on multi-parameter value called SAT. We simulate the proposed work on OMNET++ and the simulation results shows that proposed replacement policy helps to improve the data availability in network.

Fast and Efficient Multiview Access Control Mechanism for Cloud Based Agriculture Storage Management System

2019 ◽  
Vol 9 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Kuldeep Sambrekar ◽  
Vijay S. Rajpurohit
Keyword(s):  
Access Control ◽  
Management System ◽  
Data Access ◽  
Role Based Access Control ◽  
Control Mechanisms ◽  
Gis Technology ◽  
Fine Grained ◽  
Storage Overhead ◽  
Role Based ◽  
And Storage

Agriculture and its related industries are the backbone of many countries' economic growth. To achieve an efficient agricultural management system, remote sensing forecasting and GIS technology are providing information to users/stakeholders of various agricultural application uses. This information is huge in size and is stored in the cloud computing storage environment. Minimizing data access and storage costs on such an environment is desired. For achieving fine-grained role-based access control mechanisms, researchers are now focusing on ensuring such roles are enforced correctly. Existing models, though they are using role-based access control at various levels, are facing challenges like high computation rates and storage overhead. Currently, existing systems are using XML and UML for role and user creation. To address these research challenges, this article presents a model Fast and Efficient Multi View Access Control (FEMVAC) using the Amazon S3 public cloud environment for agriculture. The model minimizes storage overhead by adopting a banarization method over UML/XML method. The experimental outcome shows that the FEMVAC method is efficient compared with existing models.

scholarly journals A Comparative Study to the Semantics of Ontology Chain-Based Data Access Control versus Conventional Methods in Healthcare Applications

2017 ◽  
Vol 10 (4) ◽  
pp. 1
Author(s):  
Esraa Omran ◽  
David Nelson ◽  
Ali M. Roumani
Keyword(s):  
Access Control ◽  
Data Access ◽  
Healthcare Sector ◽  
Role Based Access Control ◽  
Healthcare Applications ◽  
Data Access Control ◽  
Control Versus ◽  
Conventional Methods ◽  
Role Based ◽  
The State Of Kuwait

The necessity of having intelligent methodology to access databases in networks has become more apparent in the age of distributed networks. Using semantics and ontologies can be highly helpful in developing such methodologies, as they provide the required classifications and mined information. The necessities that are required by the database administrator to build durable, reliable, and flexible data access methodology have been highly appreciated. This study that compares between the proposed system and conventional methods, for example Role Based Access Control (RBAC) and classical chain-based methods. The comparison is done using applications in the healthcare sector. This study is based on real surveys that have been conducted in an active hospital in the State of Kuwait.

Distributed Data Access Control for Lean Product Information Sharing in Collaborative Design

2004 ◽  
Author(s):  
Yan Wang ◽  
Pamela N. Ajoku ◽  
Bart O. Nnaji
Keyword(s):  
Access Control ◽  
Collaborative Design ◽  
Data Exchange ◽  
Information Dissemination ◽  
Product Information ◽  
Data Access ◽  
Heterogeneous Data ◽  
Distributed Data ◽  
Data Access Control ◽  
Role Based

Efficient, effective, and trustworthy collaboration in design is vital to maintain organizational competence. Conventional access control methods are too coarse in inter-organizational lean and secure data exchange. In this paper, a Scheduled Role-Based Distributed Data Access Control Model is described to support data security management in a distributed environment. The model allows for fine-grained data access control at both the server and client sides, thus securing different levels of design information dissemination for intellectual property protection purposes. Common interface for heterogeneous data is built based on XML.

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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