Internet of Things security threats and key technologies

Fadhil, Saif Aamer

doi:10.1080/09720529.2021.1957189

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…IoT is, in a major way, supportive of adopting sustainable development practices (Makori, 2017). The major limitations of IoT are linked to resource scarcity, privacy and security (Fadhil, 2021; Goumagias et al , 2021; Maple, 2017). Research on IoT, by and large, focuses on the following dimensions: frameworks and challenges of IoT; current situation of IoT in different applications; interactions of IoT; security issues of IoT; application domains of IoT; data management of IoT; IoT in product lifecycle management; enabling technologies of IoT; IoT in smart cities; and IoT in recommender systems (Ng et al , 2018; Himeur et al , 2022).…”

Section: Basic Conceptsmentioning

confidence: 99%

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Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda

Ishengoma

Shao²,

Alexopoulos³

et al. 2022

DPRG

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Purpose With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a “human” garb for computing devices, thereby making them “intelligent” devices, IoT relies on interfaces between sensors and the environment to make “intelligent” decisions. Recently, the convergence of AI and IoT – also referred to as Artificial Intelligence of Things (AIoT) – is seen as a real opportunity to refurbish the public service delivery formats. However, there is limited understanding as to how AIoT could contribute to the improvisation of public service delivery. This study aims to create a modular framework for AIoT in addition to highlighting the drivers and barriers for its integration in the public sector. Design/methodology/approach This descriptive-explanatory study takes a qualitative approach. It entails a thorough examination of the drivers and barriers of integrating AI and IoT in the public sector. A review of literature has led to the development of a conceptual framework outlining the various factors that contribute to creating public value. Findings Value creation occurs when AI and IoT coalesce in the public service delivery mechanisms. Originality/value AIoT is a cutting-edge technology revolutionizing health care, agriculture, infrastructure and all other industrial domains. This study adds to the growing body of knowledge on the public sector's use of AI and IoT. Understanding these disruptive technologies is critical to formulating policies and regulations that can maximize the potential benefits for the public-sector organizations.

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Section: Basic Conceptsmentioning

confidence: 99%

Section: Brief About Internet Of Thingsmentioning

confidence: 99%

Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda

Ishengoma

Shao²,

Alexopoulos³

et al. 2022

DPRG

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show abstract

“…Ahmad et al [21] elaborated on the different types of security attacks in relation to the different layers of IoT, including physical attacks, software attacks, network attacks, and encryption attacks. There was also a presentation of some IoT applications such as Smart Homes, Smart Cities, Smart Grids, Health Sector, and Security & Emergencies.…”

Section: Threats In Iotmentioning

confidence: 99%

Cybersecurity Threats, Countermeasures and Mitigation Techniques on the IoT: Future Research Directions

2022

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The Internet of Things (IoT) interconnects physical and virtual objects embedded with sensors, software, and other technologies, which exchange data using the Internet. This technology allows billions of devices and people to communicate, share data, and personalize services to make our lives easier. Despite the multiple benefits offered by IoT, it may also represent a critical issue due its lack of information security. Since the number of IoT devices has been rapidly increasing all over the world, they have become a target for many attackers, who try to steal sensitive information and compromise people’s privacy. As part of the IoT environment, data and services should be protected with features such as confidentiality, accuracy, comprehensiveness, authentication, access control, availability, and privacy. Cybersecurity threats are unique to the Internet of Things, which has unique characteristics and limitations. In consideration of this, a variety of threats and attacks are being launched daily against IoT. Therefore, it is important to identify these types of threats and find solutions to mitigate their risks. Therefore, in this paper, we reviewed and identified the most common threats in the IoT environment, and we classified these threats based on three layers of IoT architecture. In addition, we discussed the most common countermeasures to control the IoT threats and mitigation techniques that can be used to mitigate these threats by reviewing the related publications, as well as analyzing the popular application-layer protocols employed in IoT environments and their security risks and challenges.

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“…The authentication model that is applied to restrict the IoT device's access can take different approaches to verify the user's identity, these approaches are classified as [8], One-time-password authentication (OTP), ID-based authentication, and user's certificate authentication, and each class involved several researchers methods [2,4,9]. The motives of this paper, are to establish a reliable and lightweight authentication model, so emphasizing various research works that employed the ECC to introduce the IoT authentication model.…”

Section: Related Workmentioning

confidence: 99%

“…At first glance, this seems like a tradeoff between performance and security ability, therefore, the main challenge [8] in a limited-environment platform, such as IoT, is how to consider the appropriate features in any security mechanism. Many lightweight authentication methods are used for established better key agreements such as password authentication, biometrics authentication, digital signature algorithms, and so on.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Authentication Model for IoT Environments Based on Enhanced Elliptic Curve Digital Signature and Shamir Secret Share

2022

IJIES

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With the rapid use of the Internet, and the increase in the numbers of smart and mobile devices, the internet of things (IoT) fields had become more crucial fields in the interest of developers. Many aspects related to authentication and privacy communication during an interaction between remote users and IoT devices should be enabled and achieved in a lightweight and secure manner. Due to the elliptic curve digital signature (ECDSA)'s features that are secure and lightweight compared with other public key algorithms; this paper presents a new IoT authentication model that incorporates a modified ECDSA. But unfortunately, the familiar use of ECDSA in Blockchain showed some problems related to the capability of revealing the random private integer, which leads to private key disclosure, and hence funds theft, this paper highlights this problem and proposes modifications to the ECDSA to make it more reliable. In addition, the proposed model combines a modified ECDSA and Shamir's secret sharing (SSS). The combination can give better results in establishing a more securely authentication agreement and robustness to resolve the standard algorithm attenuation, this modification involved a variant of ECDSA's calculations in signature processing, and employing Shamir's Secret Sharing to further protect the random private integer. Also, the proposed model achieves lower overhead communications by splitting and redistributing authentication calculations roles between the system's entities. After security analysis, the proposed algorithm exhibits ability to resist potential threats, also, a comparison with other related works demonstrates that the proposed algorithm performs fewer arithmetic operations, relatively, by decreasing the number of modular inverse operations, so this feature lowers resources-efforts and high performance, moreover, the theoretical analysis indicates that the proposed algorithm efficiently manages the scalability of the system.

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Internet of Things security threats and key technologies

Cited by 11 publications

References 4 publications

Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda

Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda

Cybersecurity Threats, Countermeasures and Mitigation Techniques on the IoT: Future Research Directions

Lightweight Authentication Model for IoT Environments Based on Enhanced Elliptic Curve Digital Signature and Shamir Secret Share

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