Challenges of Multi-Factor Authentication for Securing Advanced IoT Applications

Ometov, Aleksandr; Petrov, Vitaly; Bezzateev, Sergey; Andreev, Sergey; Koucheryavy, Yevgeni; Gerla, Mário

doi:10.1109/mnet.2019.1800240

Cited by 82 publications

(31 citation statements)

References 13 publications

(14 reference statements)

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“…However, such proof comes in different ways, and it is associated with the identity credentials. There are various types of credentials, usually classified as: knowledge, possession, inherence and context-aware factor [51,52]. Except for the inherence factor, all authentication methods are valid to both human and nonhuman users.…”

Section: Authentication Methodsmentioning

confidence: 99%

Survey on Identity and Access Management for Internet of Things

Cremonezi

Vieira

Nacif

et al. 2020

Preprint

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The Internet of Things (IoT) encompasses a large number of connected devices, generating and sharing diﬀerent types of data among themselves. These data enable the creation of society-changing applications, such as health monitoring and autonomous vehicles. Under this context, protecting the access of these connected devices and their data is critical to IoT applications’ success, since a single data breach can incur into a cascade eﬀect, which leads to devastating consequences. Identity and Access Management (IAM) systems provide mechanisms to identify individuals at the network and determine their access privileges, thus avoiding inappropriate access. However, the current IAMs system struggles to provide the scale or manage the complex relationships that IoT brings. In this work, we present a comprehensive state-of-the-art survey of IAMs and the main concepts and challenges when applied to IoT. First, we overview the IoT technology, giving its essential characteristics and communication architectures and its main applications. Then, we present IAMs state-of-the-art and the main concepts, existing architectures, and challenges. Finally, we focus on current IAMs that aims to tackle the IoT complexity, along with an in-depth analysis of their proposals and future directions in the ﬁeld.

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Section: Authentication Methodsmentioning

confidence: 99%

Survey on Identity and Access Management for Internet of Things

Cremonezi

Vieira

Nacif

et al. 2020

Preprint

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show abstract

“…For instance, we observe different device locking mechanisms in wearables, including fingerprinting and facial recognition techniques. Such specific biometry-related data associated with users is the most sensitive information since passwords can be changed while most of biometry or behaviour factors remain unchanged over life of an individual [208]. It has been observed that most commercially available wearables often have very minimal or no security features due to performance degradation issues since many of the available data encryption and security techniques are compute-intensive for wearables [180].…”

Section: Inefficient Routingmentioning

confidence: 99%

Towards Energy Efficiency in the Internet of Wearable Things: A Systematic Review

et al. 2020

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Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable Things (IoWT). These wearables are small IoT devices capable of sensing, storing, processing, and exchanging data to assist users by improving their everyday life tasks through various applications. However, the IoWT has also brought new challenges for the research community to address such as increasing demand for enhanced computational power, better communication capabilities, improved security and privacy features, reduced form factor, minimal weight, and better comfort. Most wearables are battery-powered devices that need to be recharged-therefore, the limited battery life remains the bottleneck leading to the need to enhance the energy efficiency of wearables, thus, becoming an active research area. This paper presents a survey of energy-efficient solutions proposed for diverse IoWT applications by following the systematic literature review method. The available techniques published from 2010 to 2020 are scrutinized, and the taxonomy of the available solutions is presented based on the targeted application area. Moreover, a comprehensive qualitative analysis compares the proposed studies in each application area in terms of their advantages, disadvantages, and main contributions. Furthermore, a list of the most significant performance parameters is provided. A more in-depth discussion of the main techniques to enhance wearables' energy efficiency is presented by highlighting the trade-offs involved. Finally, some potential future research directions are highlighted.

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“…Therefore, the proposed model ensures maximum scalability when security is high, and restricts scalability when security is low. In this study, we compare the proposed method with the conventional authentication method [39,40] using a network simulation model.…”

Section: Performance Evaluationmentioning

confidence: 99%

Scalable and Secure Internet of Things Connectivity

2019

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The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

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Challenges of Multi-Factor Authentication for Securing Advanced IoT Applications

Cited by 82 publications

References 13 publications

Survey on Identity and Access Management for Internet of Things

Survey on Identity and Access Management for Internet of Things

Towards Energy Efficiency in the Internet of Wearable Things: A Systematic Review

Scalable and Secure Internet of Things Connectivity

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