TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment
Edge–cloud coordination offers the chance to mitigate the enormous storage and processing load brought on by a massive increase in traffic at the network’s edge. Though this paradigm has benefits on a large scale, outsourcing the sensitive data from the smart devices deployed in an Internet of Thing...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824010445 |
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| author | Uma Sankararao Varri Debjani Mallick Ashok Kumar Das M. Shamim Hossain Youngho Park Joel J.P.C. Rodrigues |
| author_facet | Uma Sankararao Varri Debjani Mallick Ashok Kumar Das M. Shamim Hossain Youngho Park Joel J.P.C. Rodrigues |
| author_sort | Uma Sankararao Varri |
| collection | DOAJ |
| description | Edge–cloud coordination offers the chance to mitigate the enormous storage and processing load brought on by a massive increase in traffic at the network’s edge. Though this paradigm has benefits on a large scale, outsourcing the sensitive data from the smart devices deployed in an Internet of Things (IoT) application may lead to privacy leakage. With an attribute-based keyword search (ABKS), the search over ciphertext can be achieved; this reduces the risk of sensitive data explosion. However, ABKS has several issues, like huge computational overhead to perform multi-keyword searches and tracing malicious users. To address these issues and enhance the performance of ABKS, we propose a novel traceable and lightweight attribute-based keyword search technique in an Edge–cloud-assisted IoT, named TL-ABKS, using edge–cloud coordination. With TL-ABKS, it is possible to do effective multi-keyword searches and implement fine-grained access control. Further, TL-ABKS outsources the encryption and decryption computation to edge nodes to enable its usage to resource-limited IoT smart devices. In addition, TL-ABKS achieves tracing user identity who misuse their secret keys. TL-ABKS is secure against modified secret keys, chosen plaintext, and chosen keyword attacks. By comparing the proposed TL-ABKS with the current state-of-the-art schemes, and conducting a theoretical and experimental evaluation of its performance and credibility, TL-ABKS is efficient. |
| format | Article |
| id | doaj-art-53dd3d6e7b044cc2ae8c38a5a140cc3f |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-53dd3d6e7b044cc2ae8c38a5a140cc3f2024-11-15T06:11:22ZengElsevierAlexandria Engineering Journal1110-01682024-11-01107757769TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environmentUma Sankararao Varri0Debjani Mallick1Ashok Kumar Das2M. Shamim Hossain3Youngho Park4Joel J.P.C. Rodrigues5Department of Computer Science and Engineering, SRM University-AP, Amaravathi, Andhra Pradesh, IndiaCenter for Security, Theory and Algorithmic Research, International Institute of Information Technology, Hyderabad 500 032, IndiaCenter for Security, Theory and Algorithmic Research, International Institute of Information Technology, Hyderabad 500 032, India; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul 02841, South KoreaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi Arabia; Corresponding author.School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, South KoreaAmazonas State University, Manaus AM, BrazilEdge–cloud coordination offers the chance to mitigate the enormous storage and processing load brought on by a massive increase in traffic at the network’s edge. Though this paradigm has benefits on a large scale, outsourcing the sensitive data from the smart devices deployed in an Internet of Things (IoT) application may lead to privacy leakage. With an attribute-based keyword search (ABKS), the search over ciphertext can be achieved; this reduces the risk of sensitive data explosion. However, ABKS has several issues, like huge computational overhead to perform multi-keyword searches and tracing malicious users. To address these issues and enhance the performance of ABKS, we propose a novel traceable and lightweight attribute-based keyword search technique in an Edge–cloud-assisted IoT, named TL-ABKS, using edge–cloud coordination. With TL-ABKS, it is possible to do effective multi-keyword searches and implement fine-grained access control. Further, TL-ABKS outsources the encryption and decryption computation to edge nodes to enable its usage to resource-limited IoT smart devices. In addition, TL-ABKS achieves tracing user identity who misuse their secret keys. TL-ABKS is secure against modified secret keys, chosen plaintext, and chosen keyword attacks. By comparing the proposed TL-ABKS with the current state-of-the-art schemes, and conducting a theoretical and experimental evaluation of its performance and credibility, TL-ABKS is efficient.http://www.sciencedirect.com/science/article/pii/S1110016824010445Internet of Things (IoT)Attribute-based keyword searchMulti-keyword searchTraceabilityEdge computingCloud computing |
| spellingShingle | Uma Sankararao Varri Debjani Mallick Ashok Kumar Das M. Shamim Hossain Youngho Park Joel J.P.C. Rodrigues TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment Alexandria Engineering Journal Internet of Things (IoT) Attribute-based keyword search Multi-keyword search Traceability Edge computing Cloud computing |
| title | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment |
| title_full | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment |
| title_fullStr | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment |
| title_full_unstemmed | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment |
| title_short | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment |
| title_sort | tl abks traceable and lightweight attribute based keyword search in edge cloud assisted iot environment |
| topic | Internet of Things (IoT) Attribute-based keyword search Multi-keyword search Traceability Edge computing Cloud computing |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824010445 |
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