Design and analysis of an optimal ECC algorithm with effective access control mechanism for big data

Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server that has the capacity of storing and processing big data in an effective manner. The main intention of the research is to secure storage of big...

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Veröffentlicht in:	Multimedia tools and applications Jg. 79; H. 15-16; S. 9757 - 9783
Hauptverfasser:	Verma, Om Prakash, Jain, Nitin, Pal, Saibal Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2020 Springer Nature B.V
Schlagworte:	Access control Algorithms Big Data Clustering Computer Communication Networks Computer Science Cryptography Curves Data management Data storage Data Structures and Information Theory Multimedia Information Systems Optimization Special Purpose and Application-Based Systems Grasshopper optimization Access control mechanism Elliptic curve cryptography Fuzzy c means Big data Map reduce
ISSN:	1380-7501, 1573-7721
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Abstract	Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server that has the capacity of storing and processing big data in an effective manner. The main intention of the research is to secure storage of big data and effective access control mechanism. The main stages of the proposed method are map reduce framework, secure storage process and access control mechanism process. Map Reduce is a distributed programming framework used to process big data. In mapper, the input dataset is grouped using hybrid kernel fuzzy c means (HKFCM) clustering algorithm. Finally, the reduced output is fed to the data owner for secure storage. In secure storage process, the suggested method utilizes optimal elliptic curve cryptography (OECC). Here the fundamental values are optimally selected by Modified grasshopper optimization algorithm (MGOA). In the access control mechanism, the effective policy update is proposed along with data storage construction and data deconstruction stage. The routine of the recommended method is assessed using memory and execution time by differentiating the number data size, number cluster size and the number of mapper. The proposed method attains the minimum time and memory utilization when compared to the existing method. The suggested method is implemented in cloud sim with Hadoop Map-reduce framework.
AbstractList	Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server that has the capacity of storing and processing big data in an effective manner. The main intention of the research is to secure storage of big data and effective access control mechanism. The main stages of the proposed method are map reduce framework, secure storage process and access control mechanism process. Map Reduce is a distributed programming framework used to process big data. In mapper, the input dataset is grouped using hybrid kernel fuzzy c means (HKFCM) clustering algorithm. Finally, the reduced output is fed to the data owner for secure storage. In secure storage process, the suggested method utilizes optimal elliptic curve cryptography (OECC). Here the fundamental values are optimally selected by Modified grasshopper optimization algorithm (MGOA). In the access control mechanism, the effective policy update is proposed along with data storage construction and data deconstruction stage. The routine of the recommended method is assessed using memory and execution time by differentiating the number data size, number cluster size and the number of mapper. The proposed method attains the minimum time and memory utilization when compared to the existing method. The suggested method is implemented in cloud sim with Hadoop Map-reduce framework. Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server that has the capacity of storing and processing big data in an effective manner. The main intention of the research is to secure storage of big data and effective access control mechanism. The main stages of the proposed method are map reduce framework, secure storage process and access control mechanism process. Map Reduce is a distributed programming framework used to process big data. In mapper, the input dataset is grouped using hybrid kernel fuzzy c means (HKFCM) clustering algorithm. Finally, the reduced output is fed to the data owner for secure storage. In secure storage process, the suggested method utilizes optimal elliptic curve cryptography (OECC). Here the fundamental values are optimally selected by Modified grasshopper optimization algorithm (MGOA). In the access control mechanism, the effective policy update is proposed along with data storage construction and data deconstruction stage. The routine of the recommended method is assessed using memory and execution time by differentiating the number data size, number cluster size and the number of mapper. The proposed method attains the minimum time and memory utilization when compared to the existing method. The suggested method is implemented in cloud sim with Hadoop Map-reduce framework.
Author	Jain, Nitin Pal, Saibal Kumar Verma, Om Prakash
Author_xml	– sequence: 1 givenname: Om Prakash surname: Verma fullname: Verma, Om Prakash organization: Department of ECE, Delhi Technological University – sequence: 2 givenname: Nitin surname: Jain fullname: Jain, Nitin email: garg.nitin007@gmail.com organization: Department of Information Technology, Delhi Technological University – sequence: 3 givenname: Saibal Kumar surname: Pal fullname: Pal, Saibal Kumar organization: Directorate of Information Technology & Cyber Security, DRDO
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Cites_doi	10.1007/s11277-017-4836-5 10.1109/MCC.2014.53 10.1016/j.jcss.2016.12.006 10.1109/TBDATA.2017.2697448 10.1109/JIOT.2016.2571718 10.1016/j.jpdc.2016.11.011 10.1109/MCC.2016.107 10.1016/j.bdr.2015.01.002 10.1016/j.jnca.2016.09.002 10.1016/j.ins.2016.10.017 10.1016/j.jpdc.2014.08.003 10.1016/j.future.2016.09.018 10.1016/j.is.2014.07.006 10.1016/j.jocs.2017.01.003 10.1109/MITP.2015.34 10.1016/j.telpol.2014.10.002 10.1109/TBDATA.2016.2587659 10.1016/j.ijinfomgt.2016.03.008 10.1016/j.future.2017.06.014 10.1007/s00500-019-03857-z
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Snippet	Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server... Big data is a high volume data, as it comprises complex and large volume of information. A successful solution is to redistribute the data to a cloud server...
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StartPage	9757
SubjectTerms	Access control Algorithms Big Data Clustering Computer Communication Networks Computer Science Cryptography Curves Data management Data storage Data Structures and Information Theory Multimedia Information Systems Optimization Special Purpose and Application-Based Systems
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Title	Design and analysis of an optimal ECC algorithm with effective access control mechanism for big data
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Volume	79
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