The use of IoT for real-time data processing and sharing in various fields such as medical care, finance, and education has become essential. However, the current infrastructure for IoT is expensive and complex, leading to high maintenance costs. The outsourcing cloud paradigm and attribute-based encryption (ABE) are solutions to address data access problems in IoT data sharing. Ciphertext-policy attribute-based encryption (CP-ABE) is a prominent approach for securely utilizing shared data in cloud computing. However, CP-ABE raises concerns regarding key escrow problems and complex access structures. Multi-authority systems can increase communication costs. To address these issues, a scheme called Key escrow-protected Cooperative ciphertext policy with weighted attribute-based encryption (KPC-CP-WABE) is proposed. This scheme involves two authorities: the attribute authority and the Central Trusted Authority Center (CTAC). The user's secret key is generated separately by both parties, with the CTAC also playing a role in key generation. A two-party computation protocol is used to design the user's secret key, ensuring the privacy of the private key. The study mainly focused on looking at KPC-CP-WABE with other methods over encryption performance whole weighted access policies with “AND” gates. The proposed approach introduces weights to the provider's access policy attributes. An information retrieval system is also presented to extract the common access sub-policy, improving encryption performance while avoiding complex access structures. Compared to standard methods, this approach reduces encryption and decryption costs. Overall, the study demonstrates that KC-CP-WABE selectively secures shared data based on CP-WABE, resulting in superior performance in terms of extraction time compared to CP-ABE, CP-WABE, and C-CP-ABE.
Most research works nowadays deal with real-time Internet of Things (IoT) data. However, with exponential data volume increases, organizations need help storing such humongous amounts of IoT data in cloud storage systems. Moreover, such systems create security issues while efficiently using IoT and Cloud Computing technologies. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) has the potential to make IoT data more secure and reliable in various cloud storage services. Cloud-assisted IoTs suffer from two privacy issues: access policies (public) and super polynomial decryption times (attributed mainly to complex access structures). We have developed a CP-ABE scheme in alignment with a Hidden Hierarchy Ciphertext-Policy Attribute-Based Encryption (HH-CP-ABE) access structure embedded within two policies, i.e., public policy and sensitive policy. In this proposed scheme, information is only revealed when the user's information is satisfactory to the public policy. Furthermore, the proposed scheme applies to resource-constrained devices already contracted tasks to trusted servers (especially encryption/decryption/searching). Implementing the method and keywords search resulted in higher access policy privacy and increased security. The new scheme introduces superior storage in comparison to existing systems (CP-ABE, H-CP-ABE), while also decreasing storage costs in HH-CP-ABE. Furthermore, a reduction in time for key generation can also be noted. Moreover, the scheme proved secure, even in handling IoT data threats in the Decisional Bilinear Diffie-Hellman (DBDH) case.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.