Biometric authentication in internet of things : A conceptual view

Meena, Gaurav; Choudhary, Sarika

doi:10.1080/09720510.2019.1609722

Cited by 16 publications

(8 citation statements)

References 11 publications

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“…Security threats linked with IoT may relate to physical security, computing security and data security (Ahmid and Kazar, In Press). This calls for authentication for securing information which may be made possible by using biometric authentication with iris recognition (Meena and Choudhary, 2019). Furthermore, conceding that diverse data (identification, positional, environmental, historical and descriptive) would be a part of the integrated IoT–e-government ecosystem, it is important that aspects such as querying, indexing, process modeling, transaction handling and integration of data across heterogenous systems be done in a deft manner (Cooper and James, 2009).…”

Section: Potential Barriers To Effect An Integration Of Internet Of T...mentioning

confidence: 99%

Integration of IoT into e-government

Shao

Ishengoma

Alexopoulos

et al. 2023

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Purpose The purpose of this paper is to highlight the drivers, barriers, benefits and risks affecting the integration of Internet of Things (IoT) into the e-government and to provide a future research agenda. Design/methodology/approach Existing literature examining the relationships between e-government and IoT is scanned and evaluated by conceptualizing the IoT concept in the e-government perspective. Findings The study shows that there are drivers to integrate IoT in e-government, such as ensuring the economy, efficiency and effectiveness of government operations, which would largely establish a relationship between the government and the citizens. Furthermore, there are barriers to such integration, given the lack of political will, the appropriate information technology infrastructure, the training of the stakeholders with a focus on the employee and the like. Originality/value The integration of IoT in e-government is a novel and weakly explored concept, particularly in the light of new advances such as blockchain in the e-government, which requires further exploration and conceptualization, thereby achieving a shared/common vision and body of knowledge for its further successful and sustainable adoption – to the best of the authors’ knowledge, the current study is one of these initial attempts.

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Section: Potential Barriers To Effect An Integration Of Internet Of T...mentioning

confidence: 99%

Integration of IoT into e-government

Shao

Ishengoma

Alexopoulos

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Therefore, it is a major concern that is investigated using biometric authentication. In [10], the concept of securing the IoT network using biometric authentication through iris identification has been presented. In [11], the existing approaches for behavioral fingerprinting have been discussed generally, and their application on IoT devices has been evaluated.…”

Section: Related Workmentioning

confidence: 99%

A Real-Time Biometric Encryption Scheme Based on Fuzzy Logic for IoT

2022

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When milliards of smart devices are connected to the Internet using the Internet of Things (IoT), robust security methods are required to deliver current information to the objects. Using IoT, the user can be accessed via smart device applications at any time and any place, which challenges IoT security and privacy. From security point of view, users and smart devices should have secure communication channel and digital ID. Authentication is the first step towards any security action. Biometric-based authentication can ensure higher security for developing secure access. In this paper, fingerprint is used as the biometric factor. After scanning the fingerprint using the cellphone’s camera, the image is transmitted to the authentication system. Since the comparison time increases after increasing the database volume, instead of storing the scanned fingerprint image, some key features of the scanned fingerprint are extracted and transmitted to the learning system of the convolutional neural network for detection and authentication and stored in the database. In the user authentication phase, the authentication keys are identified and the passcodes for the user of interest are extracted, and zero code is sent to the forged people; finally, the passcode is examined to check if the user is legal or illegal. In this step, the legal codes for fuzzy encoding of the image and text information are activated, and encryption is carried out in multiple steps depending on the number of members. The final code is compressed using Huffman coding and used for transmission to the network or storage. The proposed method is tested in MATLAB, and the results show that an excellent security is achieved using this cascade encryption method. Conclusively, the proposed hybrid coding technique reduces the information volume by 15.9%.

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“…The size of the fused feature vector is then reduced and input into the Euclidian Distance classifier for classification. Meena et al [ 62 ] presented a conceptual view about the application of iris-based authentication in the IoT. The authors identify the difficulty of applying iris authentication to IoT devices.…”

Section: Biometric-based Systems For Iot-oriented Authenticationmentioning

confidence: 99%

“…In this sub-section, several authentication and key agreement schemes are reviewed, in which biometrics are used as one factor to enhance the security level of the overall system. Despite the benefits of biometrics (e.g., difficult to copy or share, cannot be lost or forgotten and hard to forge, as opposed to passwords [ 62 ]), biometric data are uniquely linked to users’ identity. Therefore, user privacy protection is becoming more important, calling for attention and action from both academia and industry.…”

Section: Biometric-based Systems For Iot-oriented Authenticationmentioning

confidence: 99%

Biometrics for Internet-of-Things Security: A Review

Yang

Wang

Sahri

et al. 2021

Sensors

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The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

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Biometric authentication in internet of things : A conceptual view

Cited by 16 publications

References 11 publications

Integration of IoT into e-government

Integration of IoT into e-government

A Real-Time Biometric Encryption Scheme Based on Fuzzy Logic for IoT

Biometrics for Internet-of-Things Security: A Review

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