Cyber‐Assurance Through Embedded Security for the Internet of Things

Brooks, Tyson; Park, Joon Soo

doi:10.1002/9781119193784.ch2

“…Services will be able to interact with these smart ICD"s using standard interfaces that will provide the necessary link via the Internet, to query and change their state and retrieve any information associated with them, taking into account security and privacy issues (Vermesan et al 2011). "Things" can only become context aware, sense, communicate, interact, exchange data, information and knowledge if they are suitably equipped with appropriate object-connected technologies; unless of course they are human "things" or other entities with these intrinsic capabilities (Brooks, 2017). In this vision, using intelligent decision-making algorithms in software applications, appropriate rapid responses can be given to physical phenomena, based on the very latest information collected about physical entities and consideration of patterns in the historical data, either for the same entity or for similar entities (Yan et al 2010;Vermesan et al 2011).…”

Section: Wireless Gridsmentioning

confidence: 99%

Authenticating Devices in Fog-Mobile Edge Computing Environments through a Wireless Grid Resource Sharing Protocol

2024

Cloud to Edgeware

0

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The rapid growth of the Internet of Things (IoT), cloud computing, Fog computing, mobile edge computing and wireless grids has resulted in the widespread deployment of relatively immature technology. These technologies, which will primarily use 5G wireless communication networks, are becoming popular because they can be deployed quickly with little infrastructure and lends themselves to environments utilizing numerous internet connected devices (ICD). There are, however, many significant challenges faced by security designers, engineers and implementers of these networks in ensuring that the level of security afforded is appropriate. Because of the threat of exploitation, these networks have to be protected by a robust security architecture due to these technologies being plagued with security problems. The authentication of smart ICDs to IoT networks is a critical mechanism for achieving security on these new information system platforms. This article identifies an authentication process required for these ICDs, which will need to prove their identity to authenticate to an IoT fog-mobile edge computing (FMEC) cloud network through a wireless grid authentication process. The purpose of this article is to begin to hypothesize a generic authentication methodology for these FMEC clouds uses in an IoT architecture. The proposed methodology, called wg-IoT, must include the integration of Fog computing, wireless grids and mobile edge computing clouds to create this new IoT architecture. An authentication process developed from the resource sharing protocol (RSP) from a wireless grid is first developed and proposed for the authentication of ICDs. The wireless grid core components must be embedded in IoT devices or sensors depending on their capability to handle five primary functions: management of identification [ID] and presence, permissions management, data transferability, application-programming interface [API] and security.

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“…Реалізація: провести навчання та надати ресурси, щоб допомогти користувачам розпізнавати такі загрози, як фішинг, розуміти важливість оновлень та знати, як ефективно використовувати функції безпеки [10].…”

Section: навчання та обізнаність користувачівunclassified

Ризик-Орієнтоване Оцінювання Кібербезпеки Додатків Доповненої Реальності З Використанням Імеса-Аналізу

Narozhnyi,

Kharchenko

2023

aktt

0

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The subject of this study is a method for analyzing threats and vulnerabilities and selecting countermeasures to ensure cybersecurity in augmented reality (AR) applications. The goal of this study is to increase the completeness of cybersecurity assessment of AR applications by using a formalized procedure for identifying and analyzing the risks of common threats, vulnerabilities, and types of attacks. This study is based on the well-known IMESA method (analysis of types, consequences and criticality of interventions), which structures the procedure for analyzing and minimizing risks by introducing appropriate countermeasures to ensure acceptable cybersecurity risks. Objectives: to substantiate the set of major cybersecurity threats specific to AR applications; to identify and describe download vulnerabilities in AR systems; to provide a detailed classification of various cyberattacks aimed at AR platforms, considering the results of a study of recent incidents; to use the IMECA method to describe and analyze cybersecurity issues in a structured manner and to propose reliable countermeasures. According to the tasks, the following results were obtained: 1) a classification of threats with a detailed description of how each of them can affect AR applications, namely threats such as software interference, unauthorized access, and malicious hardware embedding; 2) a critical analysis of weaknesses in AR systems, in particular, insecure data storage and insufficient authentication before using sensors, which provides an understanding of possible attack vectors; 3) a detailed description of various attack methodologies, including AR phishing, AR malware, and man-in-the-middle attacks, each illustrated with real-world examples or hypothetical scenarios. A systematic approach using the IMECA framework was used to identify, assess, and ensure the cybersecurity of AR applications using a set of proposed countermeasures. Conclusions. AR technology, despite its revolutionary nature and great potential, poses a unique set of cybersecurity challenges. These challenges are related to the immersive nature of the technology, dependence on real-time data, and integration with the physical world. The study emphasizes that an understanding of the threat landscape, combined with an IMESA-structured approach to risk management, is crucial for the secure development of AR applications. Developers, users, and managers responsible for security policies need to be proactive, innovative, and aligned in their approach to cybersecurity in AR systems.

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“…Services will be able to interact with these smart ICD's using standard interfaces that will provide the necessary link via the Internet, to query and change their state and retrieve any information associated with them, considering security and privacy issues (Vermesan et al 2011). 'Things' can only become context aware, sense, communicate, interact, exchange data, information and knowledge if they are suitably equipped with appropriate object-connected technologies; unless of course they are human 'things' or other entities with these intrinsic capabilities (Brooks, 2017). In this vision, using intelligent decision-making algorithms in software applications, appropriate rapid responses can be given to physical phenomena, based on the very latest information collected about physical entities and consideration of patterns in the historical data, either for the same entity or for similar entities (Yan et al 2010;Vermesan et al 2011).…”

Section: Wireless Gridsmentioning

confidence: 99%

Authenticating Devices in Fog-mobile Edge Computing Environments through a Wireless Grid Resource Sharing Protocol

Brooks¹

2022

IJU

1

0

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The rapid growth of the Internet of Things (IoT), cloud computing, Fog computing, mobile edge computing and wireless grids has resulted in the widespread deployment of relatively immature technology. These technologies, which will primarily use 5G wireless communication networks, are becoming popular because they can be deployed quickly with little infrastructure and lends themselves to environments utilizing numerous internet connected devices (ICD). There are, however, many significant challenges faced by security designers, engineers and implementers of these networks in ensuring that the level of security afforded is appropriate. Because of the threat of exploitation, these networks have to be protected by a robust security architecture due to these technologies being plagued with security problems. The authentication of smart ICDs to IoT networks is a critical mechanism for achieving security on these new information system platforms. This article identifies an authentication process required for these ICDs, which will need to prove their identity to authenticate to an IoT fog-mobile edge computing (FMEC) cloud network through a wireless grid authentication process. The purpose of this article is to begin to hypothesize a generic authentication methodology for these FMEC clouds uses in an IoT architecture. The proposed methodology, called wg-IoT, must include the integration of Fog computing, wireless grids and mobile edge computing clouds to create this new IoT architecture. An authentication process developed from the resource sharing protocol (RSP) from a wireless grid is first developed and proposed for the authentication of ICDs. The wireless grid core components must be embedded in IoT devices or sensors depending on their capability to handle five primary functions: management of identification [ID] and presence, permissions management, data transferability, application-programming interface [API] and security.

show abstract

Cyber‐Assurance Through Embedded Security for the Internet of Things

Cited by 7 publications

References 63 publications

Authenticating Devices in Fog-Mobile Edge Computing Environments through a Wireless Grid Resource Sharing Protocol

Authenticating Devices in Fog-Mobile Edge Computing Environments through a Wireless Grid Resource Sharing Protocol

Ризик-Орієнтоване Оцінювання Кібербезпеки Додатків Доповненої Реальності З Використанням Імеса-Аналізу

Authenticating Devices in Fog-mobile Edge Computing Environments through a Wireless Grid Resource Sharing Protocol

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