3P-SAKE: Privacy-preserving and physically secured authenticated key establishment protocol for wireless industrial networks

Masud, Mehedi; Alazab, Mamoun; Choudhary, Karanjeet; Gaba, Gurjot Singh

doi:10.1016/j.comcom.2021.04.021

Cited by 32 publications

(8 citation statements)

References 40 publications

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“…The Blockchain-enabled IoMT provides increased security to the data transfer. Maintenance of health data on the daily basis may provide certain features such as new data creation, update records, and provide better security [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. By using electronic healthcare records (EHRs), the system enhances the services for both the public and patients.…”

Section: More Centralized Processmentioning

confidence: 99%

Proof of Activity Protocol for IoMT Data Security

Rajadevi¹,

Venkatachalam²,

Masud³

et al. 2023

Computer Systems Science and Engineering

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The Internet of Medical Things (IoMT) is an online device that senses and transmits medical data from users to physicians within a time interval. In, recent years, IoMT has rapidly grown in the medical field to provide healthcare services without physical appearance. With the use of sensors, IoMT applications are used in healthcare management. In such applications, one of the most important factors is data security, given that its transmission over the network may cause obtrusion. For data security in IoMT systems, blockchain is used due to its numerous blocks for secure data storage. In this study, Blockchain-assisted secure data management framework (BSDMF) and Proof of Activity (PoA) protocol using malicious code detection algorithm is used in the proposed data security for the healthcare system. The main aim is to enhance the data security over the networks. The PoA protocol enhances high security of data from the literature review. By replacing the malicious node from the block, the PoA can provide high security for medical data in the blockchain. Comparison with existing systems shows that the proposed simulation with BSD-Malicious code detection algorithm achieves higher accuracy ratio, precision ratio, security, and efficiency and less response time for Blockchain-enabled healthcare systems.

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Section: More Centralized Processmentioning

confidence: 99%

Proof of Activity Protocol for IoMT Data Security

Rajadevi¹,

Venkatachalam²,

Masud³

et al. 2023

Computer Systems Science and Engineering

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“…A feature vector has been generated from the preprocessed image using fuzzy clustering approach [38][39][40][41][42]. It is an unsupervised learning method that identifies the similarity of pixel values without knowing the attribute label used in the cluster overlapping of the image pixel [43][44][45][46][47][48].…”

Section: Feature Extraction Fuzzy Clustering (Fuzzy C Means)mentioning

confidence: 99%

Deep Fake Detection Using Computer Vision-Based Deep Neural Network with Pairwise Learning

Ram¹,

Kumar²,

Al-shami³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Deep learning-based approaches are applied successfully in many fields such as deepFake identification, big data analysis, voice recognition, and image recognition. Deepfake is the combination of deep learning in fake creation, which states creating a fake image or video with the help of artificial intelligence for political abuse, spreading false information, and pornography. The artificial intelligence technique has a wide demand, increasing the problems related to privacy, security, and ethics. This paper has analyzed the features related to the computer vision of digital content to determine its integrity. This method has checked the computer vision features of the image frames using the fuzzy clustering feature extraction method. By the proposed deep belief network with loss handling, the manipulation of video/image is found by means of a pairwise learning approach. This proposed approach has improved the accuracy of the detection rate by 98% on various datasets.

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“…In the aspect of homomorphic encryption, Singh et al 20 proposed a privacy‐preserving scheme for a smart grid, using homomorphic encryption to provide authentication services for aggregation providers and meters, and improving the traditional data aggregation architecture based on blockchain and cloud computing architecture to improve the security of the scheme, which has high computational efficiency, but the attack resistance of nodes in this scheme needs to be further explored. In addition, Masud et al 21 proposed a privacy‐preserving and physically secured authenticated key establishment scheme for wireless industrial networks, based on Physically Unclonable Function to improve the attack resistance of the scheme, and designed authentication mechanisms and key protocols to improve system security and anonymity, but the central nodes such as gateways in the scheme will cause large losses if they are attacked. The information encryption mechanism enables the encrypted transmission of private data, but the resource loss caused by data encryption needs to be further addressed and explored.…”

Section: Related Workmentioning

confidence: 99%

An efficient blockchain‐based privacy‐preserving scheme with attribute and homomorphic encryption

Zhang

Cliff

et al. 2022

Int J of Intelligent Sys

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As a distributed ledger technology, blockchain has excellent openness and transparency, which can provide data security management services for distributed intelligent systems and establish effective security guarantee mechanisms. However, precisely due to the open nature of blockchain, malicious users can trace the real transaction transfer path with high probability and even obtain the real identity of users by collecting transaction information on the blockchain and performing data analysis. Besides, existing intelligent systems lack effective encryption or desensitization measures, and attackers are able to access data in intelligent systems through identity forgery and other means, posing a huge potential risk to user privacy. To alleviate the above security issues, this paper proposes an efficient blockchain‐based privacy‐preserving scheme with attribute and homomorphic encryption, which can not only achieve user‐level fine‐grained secure access control but also supports the transmission and verification of blockchain data in the form of ciphertext. The access control method based on attribute‐based encryption and the data transmission method based on homomorphic encryption are proposed, and the blockchain‐based access whitelist mechanism is designed to reduce the resource loss due to repeated authentication. Simulation calculations and blockchain performance experiments show that this scheme can develop flexible access policies according to the attributes of users, has good performance in computational efficiency, and the blockchain performance test results are stable with errors in milliseconds for all operations. It has certain application potential in the field of distributed intelligent systems and blockchain.

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3P-SAKE: Privacy-preserving and physically secured authenticated key establishment protocol for wireless industrial networks

Cited by 32 publications

References 40 publications

Proof of Activity Protocol for IoMT Data Security

Proof of Activity Protocol for IoMT Data Security

Deep Fake Detection Using Computer Vision-Based Deep Neural Network with Pairwise Learning

An efficient blockchain‐based privacy‐preserving scheme with attribute and homomorphic encryption

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