Study on known models of NB-IoT Applications in Iraqi environments

Jaber, Tanya Abdulsattar; Hussein, Mohammed AbdulRidha

doi:10.1088/1757-899x/518/5/052013

Cited by 8 publications

(7 citation statements)

References 18 publications

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“…In their method, they employ face recognition using one-shot learning to locate stranded individuals in large crowds [11]. Many other researchers employed AI methods in networks [16], IoT [17], the metaverse [18], and driverless cars [19]. Table I summarizes the related work.…”

Section: Related Workmentioning

confidence: 99%

Face Detection and Recognition Using Google-Net Architecture

Mahmmed

Majeed²

2024

Iraqi Journal of ICT

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Using face detection to secure places is an important application merging with machine vision. This paper reposed a system to do face detection and recognition using existing architecture google-net and transfer learning to let the network learn images based on pre-trained architecture, The design of a network leads to an architecture that leads to maximizing the accuracy of the system and accurately detecting faces that are saved to the database and specifying the effect of weights used within the nodes of the hidden layer which consider the most time-consuming task within the architecture. The main characteristics are explained and the architecture used as well as the used data set in detail with the design of a network which provides an architecture that leads to maximizing the accuracy of the system and accurately detecting faces that are saved to the database and specifying the effect of weights used within the nodes of the hidden layer which consider the most time-consuming task within the architecture. Experimental results show using epochs 10 and 100 samples imply 98.37% training accuracy whereas other numbers of epochs either provide less accuracy or consume more time, and the number of epochs and training samples can be modified according to the system requirements. Other factors like illumination, the color of the background, and face rotation or scale were discussed as impact factors.

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Section: Related Workmentioning

confidence: 99%

Face Detection and Recognition Using Google-Net Architecture

Mahmmed

Majeed²

2024

Iraqi Journal of ICT

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“…Blockchain technology became popular due to the guarantee of secure transactions [20]. Additionally, blockchain can be employed in the metaverse world to improve security and prove ownership [21] and applied to NB-IoT [22].…”

Section: Integration Of Blockchain and Iotmentioning

confidence: 99%

Enhancing IoT Data Security with Lightweight Blockchain and Okamoto Uchiyama Homomorphic Encryption

Mohammed,

Wahab

2024

CMES

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Blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system challenges. Concurrently, the Internet of Things (IoT) has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services, ultimately enhancing human lives. This paper presents a new approach utilizing lightweight blockchain technology, effectively reducing the computational burden typically associated with conventional blockchain systems. By integrating this lightweight blockchain with IoT systems, substantial reductions in implementation time and computational complexity can be achieved. Moreover, the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm, renowned for its homomorphic characteristics, to reinforce the privacy and security of IoT-generated data. The integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platform for storing and analyzing sensitive data of the supply chain data. This platform facilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data privacy. The results validate the robust security of the proposed system, comparable to standard blockchain implementations, leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.

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“…Many available technologies are used to transfer data between IoT networks such as narrow band-IoT, zig bee, and Bluetooth [6], and many artificial intelligence technologies can be used to improve the network activity and effectiveness [7].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Decentralized IoT System Based on Blockchain and Homomorphic Technologies

2023

IJCCCE

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Decentralization within IoT eliminates the need to use distributed networks within IoT to communicate only with servers that may face difficulties related to the internet, vulnerabilities, DDOS, or hijacks, merging blockchain with IoT converted the IoT system into a decentralized with many benefits and outcomes from this conversion. An encryption scheme homomorphic technique (HE) is a method that encrypts the cipher data without the need to decrypt it,paillier encryption method is used. This paper aims to propose a system that integrates Paillier cryptosystem homomorphic technology with IoT and lightweight blockchain technology to provide decentralization to the IoT environment and improve security. The proposed system results in improving the IoT device’s work environment by solving the main challenges of security using blockchain, privacy using homomorphism, and data volume using blockchain. The data set used to implement and evaluate the proposed system is industrial internet of things data The dataset used in this paper is generated via machine industry 4.0 Storage System status which represents the system failure and work status. this system is evaluated using standard metrics used to evaluate the blockchain effectiveness and time, resources consumed and shows better results in time and power consumption. Index Terms— internet of things, homomorphic, blockchain, IoT decentralization, IioT.

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Study on known models of NB-IoT Applications in Iraqi environments

Cited by 8 publications

References 18 publications

Face Detection and Recognition Using Google-Net Architecture

Face Detection and Recognition Using Google-Net Architecture

Enhancing IoT Data Security with Lightweight Blockchain and Okamoto Uchiyama Homomorphic Encryption

Decentralized IoT System Based on Blockchain and Homomorphic Technologies

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