Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications
The rapid growth of internet of things (IoT) applications, especially in wireless sensor networks (WSNs), has led to the generation of large amounts of real-time data from interconnected devices. This growth leads to challenges in securing data access and managing resources efficiently. To address t...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-05-01
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| Series: | Measurement Science Review |
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| Online Access: | https://doi.org/10.2478/msr-2025-0007 |
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| author | Velliangiri A Damle Madhavi Abraham Peter Soosai Anandaraj Satish Babu Jampani |
| author_facet | Velliangiri A Damle Madhavi Abraham Peter Soosai Anandaraj Satish Babu Jampani |
| author_sort | Velliangiri A |
| collection | DOAJ |
| description | The rapid growth of internet of things (IoT) applications, especially in wireless sensor networks (WSNs), has led to the generation of large amounts of real-time data from interconnected devices. This growth leads to challenges in securing data access and managing resources efficiently. To address these challenges, we propose a dynamic trust-based access control (DTAC) model for IoT and WSN applications. The DTAC model integrates behavioral trust evaluation and context-aware decision making to dynamically adapt access permissions to network conditions in real-time. the trust scores are calculated using fuzzy logic and machine learning techniques, which enable adaptive decision-making. To increase security, the model uses a hybrid encryption scheme that combines elliptic curve cryptography (ECC) with lightweight symmetric encryption, ensuring data confidentiality with minimal computational overhead. In addition, access control decisions are refined by contextual factors such as user roles, device locations, and data sensitivity. The model includes a collaborative re-evaluation mechanism that periodically updates trust scores and isolates malicious nodes without compromising network stability. The DTAC model is evaluated on key metrics such as security resilience, energy efficiency, and latency and demonstrates better performance than existing solutions. This model provides a scalable, energy-efficient, and secure framework for IoT and WSN applications that ensures reliable data access and privacy in diverse environments. |
| format | Article |
| id | doaj-art-ae6cee69d7444751bc1cf4932ec503d8 |
| institution | Kabale University |
| issn | 1335-8871 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Measurement Science Review |
| spelling | doaj-art-ae6cee69d7444751bc1cf4932ec503d82025-08-20T03:27:36ZengSciendoMeasurement Science Review1335-88712025-05-01252485210.2478/msr-2025-0007Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT ApplicationsVelliangiri A0Damle Madhavi1Abraham Peter Soosai Anandaraj2Satish Babu Jampani3Department of ECE, K.S.R. College of Engineering, Tiruchengode, 637215, Namakkal, Tamil Nadu, IndiaSymbiosis Institute of Digital and Telecom Management (SIDTM), Symbiosis International (Deemed University), Lavale, Pune, 412115, Maharashtra, IndiaDepartment of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, Tamil Nadu, IndiaDepartment of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, Guntur, Andhra Pradesh, IndiaThe rapid growth of internet of things (IoT) applications, especially in wireless sensor networks (WSNs), has led to the generation of large amounts of real-time data from interconnected devices. This growth leads to challenges in securing data access and managing resources efficiently. To address these challenges, we propose a dynamic trust-based access control (DTAC) model for IoT and WSN applications. The DTAC model integrates behavioral trust evaluation and context-aware decision making to dynamically adapt access permissions to network conditions in real-time. the trust scores are calculated using fuzzy logic and machine learning techniques, which enable adaptive decision-making. To increase security, the model uses a hybrid encryption scheme that combines elliptic curve cryptography (ECC) with lightweight symmetric encryption, ensuring data confidentiality with minimal computational overhead. In addition, access control decisions are refined by contextual factors such as user roles, device locations, and data sensitivity. The model includes a collaborative re-evaluation mechanism that periodically updates trust scores and isolates malicious nodes without compromising network stability. The DTAC model is evaluated on key metrics such as security resilience, energy efficiency, and latency and demonstrates better performance than existing solutions. This model provides a scalable, energy-efficient, and secure framework for IoT and WSN applications that ensures reliable data access and privacy in diverse environments.https://doi.org/10.2478/msr-2025-0007dynamic trust-based access controlwireless sensor networksinternet of things security frameworkhybrid encryption schemecontext-aware decision making |
| spellingShingle | Velliangiri A Damle Madhavi Abraham Peter Soosai Anandaraj Satish Babu Jampani Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications Measurement Science Review dynamic trust-based access control wireless sensor networks internet of things security framework hybrid encryption scheme context-aware decision making |
| title | Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications |
| title_full | Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications |
| title_fullStr | Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications |
| title_full_unstemmed | Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications |
| title_short | Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications |
| title_sort | dynamic trust based access control with hybrid encryption for secure iot applications |
| topic | dynamic trust-based access control wireless sensor networks internet of things security framework hybrid encryption scheme context-aware decision making |
| url | https://doi.org/10.2478/msr-2025-0007 |
| work_keys_str_mv | AT velliangiria dynamictrustbasedaccesscontrolwithhybridencryptionforsecureiotapplications AT damlemadhavi dynamictrustbasedaccesscontrolwithhybridencryptionforsecureiotapplications AT abrahampetersoosaianandaraj dynamictrustbasedaccesscontrolwithhybridencryptionforsecureiotapplications AT satishbabujampani dynamictrustbasedaccesscontrolwithhybridencryptionforsecureiotapplications |