Multilevel Policy Based Security in Distributed Database

Batra, Neera; Singh, Manpreet

doi:10.1007/978-3-642-22709-7_56

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Depending on the outcome of the interaction, a positive behaviour is rewarded by increasing service trust in the entity and negative behaviour is penalized by reducing the service trust in the entity [7].The updated trust value is calculated using the previous trust value and impact of current interaction in the form of reward/penalty rate using following equation:…”

Section: A Growth/ Decline In Trust Valuementioning

confidence: 99%

Dynamic Trust Level Decision in Pervasive Environment

Goyal¹,

Batra²

2016

gijet

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Abstract-Pervasive computing expands the computing part in physical world. Goal of this technology is to create ambient intelligence where devices are embedded in the environment in order to provide connectivity all the time. However, not all information needs to be visible to all and needs to be shown only to the authorized users. This paper describes how existing solutions are sufficient for controlling access to the services and to achieve this objective, distributed access architecture has been implemented which supports complex and derived information. This paper focuses on two main issues: (1) to access the required information about a user that whether a user is authorized one or not and to achieve this goal an access controlled architecture has been proposed and implemented (2) to calculate the trust value which is helpful in reducing the influence of intruders by making a service prove that authorized client is accessing the information.Index Terms-security in pervasive computing, trust evaluation, smart environment.

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Section: A Growth/ Decline In Trust Valuementioning

confidence: 99%

Dynamic Trust Level Decision in Pervasive Environment

Goyal¹,

Batra²

2016

gijet

Self Cite

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“…According to Batra (2013), the underlying distributed operating system also protects access to other objects such as instructions, input and output devices, files and passwords. It does this by checking access with reference to access control lists.…”

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confidence: 99%

Securing Distributed Queries via Synchronized MAC-Based Authentication Algorithm

2018

IST Journal

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A distributed database system refers to a collection of several logically related databases which are physically scattered in different computers or sites over a computer network (Kossmann, 2012). It is a logical union of all the sites and the distribution is hidden from the users. Therefore, the distributed database users have the notion that the whole database is local except for the communication delays between the sites. The distributed approach is preferred over a centralized database system for various reasons, such as workload sharing (Ashdown and Kyte, 2011). The design of responsive distributed database system is a major concern for information system experts. This applies mostly to high bandwidth networks where latency and local processing are the most significant factors in query and update response time. In a distributed relational database system, the records are geographically distributed. Therefore, the processing of a scattered query is made up of the three phases. These phases are the local processing phase, the reduction phase, and final processing phase. In their study, Upadhyayaand Lata (2012) noted that the local processing phase constitute of local processing operations such as selections and projections. The reduction phase on the other hand uses a sequence of reducers such as semi-joins and joins to condense the size of relations. Lastly, the final processing phase sends all resulting relations to the assembly site where the final result of the query is constructed. Another major concern in a distributed environment is security. The rationale of distributed database security is to deal with the protection of data from people or, software having malicious intension (Kose, 2013). In his study, Batra (2013) established that distributed system has four main security components, namely security authentication, authorization, encryption, and multi level access control. Media access control address (MAC address) provides a unique machine dependent feature that can be used to uniquely identify network devices and therefore is deemed ideal to be used in this research for authenticating users hence offering optimum access control to a distributed environment. 2. Related Work The goal of distributed databases query security is to ensure that only legitimate queries are processed by the distributed database systems. This will lead to improved processing time and quick responses to the lawful users. Alavi (2014) explains that distributed database management systems run on top of an underlying operating system. These operating systems provide the security allied with databases. Classical operating system security features involve memory and file

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Multilevel Policy Based Security in Distributed Database

Cited by 2 publications

References 9 publications

Dynamic Trust Level Decision in Pervasive Environment

Dynamic Trust Level Decision in Pervasive Environment

Securing Distributed Queries via Synchronized MAC-Based Authentication Algorithm

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