Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing

Li, Chaoyang; Dong, Mianxiong; Xin, Xiangjun; Li, Jian; Chen, Xiu-Bo; Ota, Kaoru

doi:10.1109/jiot.2023.3296595

Cited by 48 publications

(2 citation statements)

References 55 publications

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“…Blockchain technology 35 can provide authentication and decentralized management of identity as well as authorization policies. Therefore, many blockchain-based security schemes have been presented in 36 – 43 . However, these schemes incur high storage and computation overheads which are not suitable for the sensors 44 .…”

Section: Related Workmentioning

confidence: 99%

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Nyangaresi,

Abduljabbar,

Mutlaq

et al. 2024

Sci Rep

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Advancements in cloud computing, flying ad-hoc networks, wireless sensor networks, artificial intelligence, big data, 5th generation mobile network and internet of things have led to the development of smart cities. Owing to their massive interconnectedness, high volumes of data are collected and exchanged over the public internet. Therefore, the exchanged messages are susceptible to numerous security and privacy threats across these open public channels. Although many security techniques have been designed to address this issue, most of them are still vulnerable to attacks while some deploy computationally extensive cryptographic operations such as bilinear pairings and blockchain. In this paper, we leverage on biometrics, error correction codes and fuzzy commitment schemes to develop a secure and energy efficient authentication scheme for the smart cities. This is informed by the fact that biometric data is cumbersome to reproduce and hence attacks such as side-channeling are thwarted. We formally analyze the security of our protocol using the Burrows–Abadi–Needham logic logic, which shows that our scheme achieves strong mutual authentication among the communicating entities. The semantic analysis of our protocol shows that it mitigates attacks such as de-synchronization, eavesdropping, session hijacking, forgery and side-channeling. In addition, its formal security analysis demonstrates that it is secure under the Canetti and Krawczyk attack model. In terms of performance, our scheme is shown to reduce the computation overheads by 20.7% and hence is the most efficient among the state-of-the-art protocols.

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Section: Related Workmentioning

confidence: 99%

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Nyangaresi,

Abduljabbar,

Mutlaq

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Solutions built on the blockchain offer improved security options for smart cities. The ensured distributed environment through blockchain is appropriate for most of the smart applications [16]- [18]. Although blockchain is a promising application to solve smart cities' privacy and security challenges.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

Padma,

Ramaiah

2024

IEEE Access

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Building smart services for smart cities has become a significant focus of the Internet of Things (IoT). These IoT devices are able to sense their surroundings and react appropriately. Smart city applications emphasize the necessity of safe data sharing across heterogeneous devices. Certain behaviors taken while sharing could aim at compromising security, privacy, and integrity. The centralized repository that is currently in place made the majority of hacks possible. The sharing of sensitive data and authentication are essential stages in guaranteeing the security of applications associated with IoT. Blockchain and IoT are two widely used technologies, with IoT focusing on data collection via various devices and blockchain enabling data integrity. This paper introduces a novel blockchain-based framework to ensure the security and integrity aspects of IoT data. The proposed SecPrivPreserve framework ensures security through various phases including initialization, registration, data protection, authentication, data access control, validation, and data sharing and download. Diverse security mechanisms such as passwords (OTP), encryption, and hashing have been deployed in various phases to strengthen security merits confidentiality, privacy, and integrity. Since the SecPrivPreserve framework is simulated in a permissioned blockchain platform the merits and tamper-proof and non-repudiation are automatically considered. Moreover, data protection uses Chebyshev polynomials and interpolation. The presented framework has experimented with Fabric SDK. The experimental results of the proposed framework are compared with the BaseLine state-ofthe-frameworks, The experimental analysis reveals that the proposed SecPrivPreserve approach achieved 34 Sec improvement in terms of responsiveness 94 Sec as computational time, encryption quality as 0.87 Sec and 0.82 Sec for detection rate.

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An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

Gowtham,

Vigenesh,

Ramkumar

2024

Trans Emerging Tel Tech

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The Mobile Ad Hoc Network (MANET) depending on dynamic distributed topology presents several challenges such as decentralized infrastructure. In MANET, each node act as a host as well as a router to exchange packet. From Source to destination, the MANET nodes offer the ability of transmission to send, receive, and route traffic. Moreover, the presence of selfish nodes or malicious nodes in MANETs significantly degrades network performance. Identifying and isolating such nodes poses a formidable challenge. Consequently, this research introduces a security model founded on the principles of an Artificial Immune System (AIS) to detect and defend against Selfish Node (SN) attacks. This research work employs the principles of AIS to categorize a node's behavioral state based on the Mature Context Immune Antigen Rate (MCIAR). Subsequently, a hybrid protocol named Reliable History‐dependent Resource Conscious Clustered and Defensive AODV (RRCC‐DAODV) is introduced to detect Selfish Nodes (SNs) and counteract their attacks. Within the RRCC algorithm, the identification of selfish nodes relies on both Trust Value (TV) and Residual Energy (RE). Additionally, the proposed DAODV protocol incorporates the V‐detector algorithm to enhance defense mechanisms against potential attacks. The simulation of the proposed model is carried out in NS3. The proposed mechanism achieves a detection ratio of 94.05%. The simulation outcomes demonstrate the excellence of the implemented system. This superiority is observed when compared to other standard protocols, as indicated by the parameters of throughput, residual energy, packet delivery ratio, and delay.

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Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing

Cited by 48 publications

References 55 publications

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

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