Secure data transmission on a distributed cloud server with the help of HMCA and data encryption using optimized CP-ABE-ECC

The cloud computing (CC) model is diverse as well as has broad phenomena because of which it is being preferred widely. Due to security challenges, the user cannot utilize CC to its full potentials. Storing their sensitive data in an insecure place is not even an option for these users. Many techniq...

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Vydané v:	Cluster computing Ročník 23; číslo 3; s. 1683 - 1696
Hlavní autori:	Vengala, Dilip Venkata Kumar, Kavitha, D., Kumar, A. P. Siva
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2020 Springer Nature B.V
Predmet:	Access control Algorithms Big Data Cloud computing Computer Communication Networks Computer Science Confidentiality Cryptography Cybersecurity Data encryption Data transmission Distributed processing Encryption Keywords Methods Operating Systems Personal information Privacy Processor Architectures Proprietorships Data encryption Data compression Secure data transmission Hybrid Meerkat Clan algorithm (HMCA) Two-stage Lempel–Ziv algorithm Data deduplication
ISSN:	1386-7857, 1573-7543
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Abstract	The cloud computing (CC) model is diverse as well as has broad phenomena because of which it is being preferred widely. Due to security challenges, the user cannot utilize CC to its full potentials. Storing their sensitive data in an insecure place is not even an option for these users. Many techniques were posited for securely amassing the data in the cloud; however, during massive transmission, none of them maintain end-to-end security. And, prevailing methods are also unable to solve the key intricacy and avoid key secrecy exposé. Thus, for trouncing these disadvantages and also assuring the data transmission (DT) as of the source–destination, a secure DT scheme with the help of a distributed cloud server (CS) and data deduplication is proposed. The uploaded user data can well be amassed in disparate CS to ameliorate the user data’s security. It can be done by, first, extracting the features of the user data along with the CS. After that, the Hybrid Meerkat clan algorithm (HMCA) chose the CS, which is optimally centered on the features. Next, the SHA512 algorithm performs the data deduplication of the input user data. Subsequent to data deduplication, the input file is compressed and encrypted using a two-stage lempel–ziv algorithm and optimized CP-ABE-ECC algorithm. Lastly, the encrypted file is stored in the chosen CS. The experimentation is implemented to analyze the proposed method’s performance. The outcomes exhibited that the proposed work performed better contrasted to other prevailing algorithms.
AbstractList	The cloud computing (CC) model is diverse as well as has broad phenomena because of which it is being preferred widely. Due to security challenges, the user cannot utilize CC to its full potentials. Storing their sensitive data in an insecure place is not even an option for these users. Many techniques were posited for securely amassing the data in the cloud; however, during massive transmission, none of them maintain end-to-end security. And, prevailing methods are also unable to solve the key intricacy and avoid key secrecy exposé. Thus, for trouncing these disadvantages and also assuring the data transmission (DT) as of the source–destination, a secure DT scheme with the help of a distributed cloud server (CS) and data deduplication is proposed. The uploaded user data can well be amassed in disparate CS to ameliorate the user data’s security. It can be done by, first, extracting the features of the user data along with the CS. After that, the Hybrid Meerkat clan algorithm (HMCA) chose the CS, which is optimally centered on the features. Next, the SHA512 algorithm performs the data deduplication of the input user data. Subsequent to data deduplication, the input file is compressed and encrypted using a two-stage lempel–ziv algorithm and optimized CP-ABE-ECC algorithm. Lastly, the encrypted file is stored in the chosen CS. The experimentation is implemented to analyze the proposed method’s performance. The outcomes exhibited that the proposed work performed better contrasted to other prevailing algorithms.
Author	Kumar, A. P. Siva Kavitha, D. Vengala, Dilip Venkata Kumar
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Cites_doi	10.1109/TBDATA.2016.2587659 10.1007/s11277-016-3273-1 10.1016/j.sysarc.2019.101653 10.1016/j.jpdc.2019.09.008 10.1109/TSC.2015.2491281 10.1007/s10586-017-1368-4 10.1007/s12652-016-0385-0 10.1109/TPDS.2013.284 10.1109/TIFS.2015.2455952 10.1016/j.future.2019.04.046 10.1016/j.ins.2016.09.005 10.1007/s10586-017-0809-4 10.1007/s11761-018-0249-x 10.1007/s00778-017-0470-9 10.1109/TBDATA.2017.2701352 10.1016/j.procs.2015.09.228 10.1007/s12652-019-01563-0 10.1016/j.comcom.2019.11.048
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SubjectTerms	Access control Algorithms Big Data Cloud computing Computer Communication Networks Computer Science Confidentiality Cryptography Cybersecurity Data encryption Data transmission Distributed processing Encryption Keywords Methods Operating Systems Personal information Privacy Processor Architectures Proprietorships
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Title	Secure data transmission on a distributed cloud server with the help of HMCA and data encryption using optimized CP-ABE-ECC
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