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Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
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Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
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|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi, and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
|
URL |
|
|
Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
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Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
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Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
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Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
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URL |
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Title |
Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives |
|
Author |
Khalil Alsulbi, Maher Khemakhem, Abdullah Basuhail , Fathy Eassa, Kamal Mansur Jambi and Khalid Almarhabi |
| Citation |
Vol. 21 No. 7 pp. 43-55 |
|
Abstract |
The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges. |
|
Keywords |
Big Data, Big Data security, Big Data privacy, cloud storage, high-performance computing (HPC), Blockchain. |
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URL |
