Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms
With the rapid growth of Big Data, securing its storage has become crucial. This study proposes to enhance the secure storage of big data at rest in Hadoop by improving encryption algorithms. The Elliptic Curve Cryptography Algorithm (ECC) is upgraded by a parallel two-threaded approach for unstruct...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2024-01-01
|
| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/454995 |
| _version_ | 1827281527201857536 |
|---|---|
| author | Rong Hu Ping Huang |
| author_facet | Rong Hu Ping Huang |
| author_sort | Rong Hu |
| collection | DOAJ |
| description | With the rapid growth of Big Data, securing its storage has become crucial. This study proposes to enhance the secure storage of big data at rest in Hadoop by improving encryption algorithms. The Elliptic Curve Cryptography Algorithm (ECC) is upgraded by a parallel two-threaded approach for unstructured data. For structured data, enhance Paillier Homomorphic Encryption to support operations on ciphertexts. Experiments on datasets up to 4 G show that the modified ECC method reduces encryption time to 60 - 80 seconds, compared to 100 - 160 seconds for standard ECC, AES, and DES. It can also use shorter key lengths than RSA with comparable levels of security. Enhanced Paillier encryption uses large prime numbers to ensure the validity of the ciphertext. By combining these improved encryption techniques within a secure Hadoop framework, this research demonstrates an effective way to address vulnerabilities in Big Data storage. |
| first_indexed | 2024-04-24T09:02:47Z |
| format | Article |
| id | doaj.art-4a64f4dd0c3d4b37ada8af93f263be78 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:02:47Z |
| publishDate | 2024-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-4a64f4dd0c3d4b37ada8af93f263be782024-04-15T19:25:21ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392024-01-0131251051710.17559/TV-20230618000745Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption AlgorithmsRong Hu0Ping Huang1School of Intelligence Technology, Geely University of China, Chengdu Sichuan, 641423, P. R. China, No. 123, SEC. 2, Chengjian Avenue, Eastern New District, Chengdu City Sichuan ProvinceSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan, 617000, P. R. China No. 10, North Section of Sanxian Avenue, East District, Panzhihua City, Sichuan ProvinceWith the rapid growth of Big Data, securing its storage has become crucial. This study proposes to enhance the secure storage of big data at rest in Hadoop by improving encryption algorithms. The Elliptic Curve Cryptography Algorithm (ECC) is upgraded by a parallel two-threaded approach for unstructured data. For structured data, enhance Paillier Homomorphic Encryption to support operations on ciphertexts. Experiments on datasets up to 4 G show that the modified ECC method reduces encryption time to 60 - 80 seconds, compared to 100 - 160 seconds for standard ECC, AES, and DES. It can also use shorter key lengths than RSA with comparable levels of security. Enhanced Paillier encryption uses large prime numbers to ensure the validity of the ciphertext. By combining these improved encryption techniques within a secure Hadoop framework, this research demonstrates an effective way to address vulnerabilities in Big Data storage.https://hrcak.srce.hr/file/454995hadoopPaillier Homomorphic Encryptionstatic Big Datasecure storage |
| spellingShingle | Rong Hu Ping Huang Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms Tehnički Vjesnik hadoop Paillier Homomorphic Encryption static Big Data secure storage |
| title | Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms |
| title_full | Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms |
| title_fullStr | Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms |
| title_full_unstemmed | Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms |
| title_short | Enhanced Secure Storage of Big Data at Rest with Improved ECC and Paillier Homomorphic Encryption Algorithms |
| title_sort | enhanced secure storage of big data at rest with improved ecc and paillier homomorphic encryption algorithms |
| topic | hadoop Paillier Homomorphic Encryption static Big Data secure storage |
| url | https://hrcak.srce.hr/file/454995 |
| work_keys_str_mv | AT ronghu enhancedsecurestorageofbigdataatrestwithimprovedeccandpaillierhomomorphicencryptionalgorithms AT pinghuang enhancedsecurestorageofbigdataatrestwithimprovedeccandpaillierhomomorphicencryptionalgorithms |