Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography
Authentication; Big data; Cloud computing; Computer architecture; Cryptography; Data privacy; Domestic appliances; Gateways (computer networks); Network architecture; Advanced Encryption Standard; Cloud computing technologies; Effective approaches; Internet of Things (IOT); Light-weight cryptography...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-257012023-05-29T16:13:00Z Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography Atiewi S. Al-Rahayfeh A. Almiani M. Yussof S. Alfandi O. Abugabah A. Jararweh Y. 53863311500 55843225300 57189663325 16023225600 24528586500 36805669500 25825095600 Authentication; Big data; Cloud computing; Computer architecture; Cryptography; Data privacy; Domestic appliances; Gateways (computer networks); Network architecture; Advanced Encryption Standard; Cloud computing technologies; Effective approaches; Internet of Things (IOT); Light-weight cryptography; Multi-factor authentication; Proposed architectures; Trusted authorities; Internet of things Organizations share an evolving interest in adopting a cloud computing approach for Internet of Things (IoT) applications. Integrating IoT devices and cloud computing technology is considered as an effective approach to storing and managing the enormous amount of data generated by various devices. However, big data security of these organizations presents a challenge in the IoT-cloud architecture. To overcome security issues, we propose a cloud-enabled IoT environment supported by multifactor authentication and lightweight cryptography encryption schemes to protect big data system. The proposed hybrid cloud environment is aimed at protecting organizations' data in a highly secure manner. The hybrid cloud environment is a combination of private and public cloud. Our IoT devices are divided into sensitive and nonsensitive devices. Sensitive devices generate sensitive data, such as healthcare data; whereas nonsensitive devices generate nonsensitive data, such as home appliance data. IoT devices send their data to the cloud via a gateway device. Herein, sensitive data are split into two parts: one part of the data is encrypted using RC6, and the other part is encrypted using the Fiestel encryption scheme. Nonsensitive data are encrypted using the Advanced Encryption Standard (AES) encryption scheme. Sensitive and nonsensitive data are respectively stored in private and public cloud to ensure high security. The use of multifactor authentication to access the data stored in the cloud is also proposed. During login, data users send their registered credentials to the Trusted Authority (TA). The TA provides three levels of authentication to access the stored data: first-level authentication - read file, second-level authentication - download file, and third-level authentication - download file from the hybrid cloud. We implement the proposed cloud-IoT architecture in the NS3 network simulator. We evaluated the performance of the proposed architecture using metrics such as computational time, security strength, encryption time, and decryption time. � 2013 IEEE. Final 2023-05-29T08:12:59Z 2023-05-29T08:12:59Z 2020 Article 10.1109/ACCESS.2020.3002815 2-s2.0-85087658176 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087658176&doi=10.1109%2fACCESS.2020.3002815&partnerID=40&md5=10905c10d44c46760b99f6b4a3691885 https://irepository.uniten.edu.my/handle/123456789/25701 8 9118946 113498 113511 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Authentication; Big data; Cloud computing; Computer architecture; Cryptography; Data privacy; Domestic appliances; Gateways (computer networks); Network architecture; Advanced Encryption Standard; Cloud computing technologies; Effective approaches; Internet of Things (IOT); Light-weight cryptography; Multi-factor authentication; Proposed architectures; Trusted authorities; Internet of things |
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53863311500 |
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53863311500 Atiewi S. Al-Rahayfeh A. Almiani M. Yussof S. Alfandi O. Abugabah A. Jararweh Y. |
| format |
Article |
| author |
Atiewi S. Al-Rahayfeh A. Almiani M. Yussof S. Alfandi O. Abugabah A. Jararweh Y. |
| spellingShingle |
Atiewi S. Al-Rahayfeh A. Almiani M. Yussof S. Alfandi O. Abugabah A. Jararweh Y. Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| author_sort |
Atiewi S. |
| title |
Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| title_short |
Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| title_full |
Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| title_fullStr |
Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| title_full_unstemmed |
Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptography |
| title_sort |
scalable and secure big data iot system based on multifactor authentication and lightweight cryptography |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427786832773120 |
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13.214268 |