An architecture and a dynamic scheduling algorithm of grid for providing security for real‐time data‐intensive applications

Islam, Md. Rafiqul; Hasan, Mohd Toufiq; Ashaduzzaman, G. M.

doi:10.1002/nem.765

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…The performance of the proposed method is compared with three well-known scheduling methods of the grid environment, namely Earlier Deadline First (EDF) [29] algorithms, Security-Aware scheduling strategy for Real-time applications on Clusters (SAREC) [30] and the Security of Real-Time Data-Intensive Applications on Grids (SARDIG) [31]. Table 2 shows the simulation results of the completeness ratio for the four algorithms.…”

Section: Resultsmentioning

confidence: 99%

“…Security-aware scheduling strategy for real-time applications on clusters (SAREC) [30], proposes a security-aware scheduling strategy, or which integrates security requirements into scheduling for real-time applications by employing our security overhead model. Scheduling real-time data-intensive applications (SARDIG) is a security-attentive dynamic real-time scheduling algorithm architecture and a dynamic grid scheduling algorithm for providing security for real-time data-intensive applications [31]. It proposes a grid architecture, which describes the scheduling framework of real-time data-intensive applications.…”

Section: Background Surveymentioning

confidence: 99%

See 1 more Smart Citation

Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

Sivapragash¹,

Padmanaban

Hossain

et al. 2019

Energies

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: To maximize the utilization, reliability and availability of power resources, some distribution strategy has to be implemented, which is possible nowadays with the support of modern information technologies (IT). To further develop power utilization, the customer should be aware of efficient power utilization, and the problem of customer management has to be resolved, where payment of electric bills could be through online solutions. A customer-aware power regulatory model is proposed that provides awareness to the consumer regarding the usage of electrical energy, in a secure and reliable solution that combines the features of electrical engineering with cloud computing to ensure better performance in notifying issues, which is done based on location and enhances the operation of smart grids. Instant electric meters are equipped with remote gadgets which communicate with a central cloud administration to produce electric bills for the client. The model provides mindfulness by showing history/notifications and suggestions for energy utilization through the smart meters. The user is provided with security keys to view the reading values and pay bills. To make the solution more accessible, the electronic data will be maintained on various servers at different locations of the cloud. Subsequently, there will be a service provider who manages service requests. A hardwired electric meter transmits the electric readings, which in turn access the particular service to make an entry for the particular connection on the cloud. The usage data will also be maintained at different locations in the cloud, which are accessible to different levels of users with appropriate security measures. The user accessibility is controlled by a Third Party Auditor (TPA) that computes the trustworthiness of users using a trust management scheme. This article also proposes a hash function, which computes and verifies the signature of the keys submitted by the users and also has a higher completeness ratio, which reaches 0.93, than typical methods. This is noteworthy, and the investigation results prove the system’s proficiency in providing assured service.

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Section: Resultsmentioning

confidence: 99%

Section: Background Surveymentioning

confidence: 99%

Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

Sivapragash¹,

Padmanaban

Hossain

et al. 2019

Energies

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“…SAML (Security Assertion Markup Language) is used to provide authentication, attributes, and authorization information. XACML (eXtensible Access Control Markup Language) is used to define access control polices in XML [16]. XML key management specification (XKMS) is a protocol proposed as a standard maintained by the W3C.…”

Section: Security Suitementioning

confidence: 99%

An Approach to Security for Unstructured Big Data

Islam

Ali

2016

Rev Socionetwork Strat

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Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.

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“…Table III shows the consideration of standards or algorithms for the main three services like privacy, integrity and integrity with authentication. For detail and ground of this type of consideration the reader can be found in the papers [9][10][11]. To secure text type data, Diffie-Hellman key exchange scheme or digital certificates can be used to solve key management problem.…”

Section: Big Data Recommendermentioning

confidence: 99%

“…SAML (Security Assertion markup Language) is used to provide authentication, attribute and authorization information. XACML (eXtensible Access Control Markup Language) is used to define access control polices in XML [10]. XML key management specification (XKMS) is a protocol proposed as a standard maintained by the W3C.…”

Section: Big Data Recommendermentioning

confidence: 99%

An approach to provide security to unstructured Big Data

Islam

2014

The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)

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Security of Big Data is a big concern. In broad sense Big Data contains two types of data such as structured and unstructured. To provide security to unstructured data is more difficult than that of structured. In this paper we have developed an approach to give adequate security to the unstructured data by considering the types of the data and their sensitivity levels. We have reviewed the different analytics methods of Big Data, which gives us the facility to build a data node of databases of different types of data. Each type of data has been further classified to provide adequate security and enhance the overhead of the security system. To provide security to data node a security suite has been designed by incorporating different security standards and algorithms. The proper security standards or algorithms can be activated using an algorithm, which has been interfaced with the data node. We have shown that data classification with respect to sensitivity levels enhance the performance of the system.

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An architecture and a dynamic scheduling algorithm of grid for providing security for real‐time data‐intensive applications

Cited by 10 publications

References 13 publications

Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

An Approach to Security for Unstructured Big Data

An approach to provide security to unstructured Big Data

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