Framework-based security measures for Internet of Thing: A literature review

Rueda, Johan Smith Rueda; Portocarrero, Jesús M. T.

doi:10.1515/comp-2020-0220

Cited by 5 publications

(4 citation statements)

References 39 publications

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“…[16] compares four security frameworks dedicated to secure IoT compliance and deployment according to ISO27001 standard. [17] focuses on the implementation guidance frameworks of IoT security. [18] proposes a security framework for IoT within a set of enhancement techniques provided for IoT devices' security.…”

Section: Iot Security Frameworkmentioning

confidence: 99%

An Integrated Multilayered Framework for IoT Security Intrusion Decisions

Sallay¹

2023

Intelligent Automation &Amp; Soft Computing

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Security breaches can seriously harm the Internet of Things (IoT) and Industrial IoT (IIoT) environments. The damage can exceed financial and material losses to threaten human lives. Overcoming these security risks is challenging given IoT ubiquity, complexity, and restricted resources. Security intrusion management is a cornerstone in fortifying the defensive security process. This paper presents an integrated multilayered framework facilitating the orchestration of the security intrusion management process and developing security decision support systems. The proposed framework incorporates four layers with four dedicated processing phases. This paper focuses mainly on the analytical layer. We present the architecture and models for predictive intrusion analytics for reactive and proactive defense strategies. We differentiate between the device and network levels to master the complexity of IoT infrastructure. Benefiting from the singularity of IIoT devices traffic, we approach the reactive security intrusion prediction through outlier detection models mean. We thoroughly experiment with ten outlier detection models on the IIoT wustl realistic dataset. The obtained results show the adequacy of the approach with an area under the curve (AUC) results surpassing 98% for several models with a good level of precision and time efficiency. Furthermore, we investigate the use of survival analysis semi-parametric predictive models to forecast the security intrusion before its occurrence for the proactive security strategy. The experiments show encouraging results with a concordance index (c-Index) reaching 89% and an integrated brier score (IBS) of 0.02. By integrating outlier intrusion detection and survival forecasting, the framework provides a valuable means to monitor the security intrusions in IoT.

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Section: Iot Security Frameworkmentioning

confidence: 99%

An Integrated Multilayered Framework for IoT Security Intrusion Decisions

Sallay¹

2023

Intelligent Automation &Amp; Soft Computing

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“…Питання формування вимог безпеки до компонентів IoT розглядаються в [10,11]. Огляд заходів безпеки для IoT представлено в [12]. Окреме місце в дослідженнях із забезпечення безпеки IoT займають роботи, орієнтовані на використання формалізованих знань та онтологій [13][14][15][16].…”

Section: вступunclassified

Security models of the Internet of Things

Kovalenko

2023

MMS

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The IoT is a cyber-convergent system that includes things, means of communication, target ap-plications, and data analysis tools that support the unique identification of each object. IoT technologies play a vital role in the creation of cyber-convergent systems due to their wide us-age in various spheres of life such as industry, social sphere, health care, and creating a com-fortable environment. The IoT security model method ensures the confidentiality, integrity, and availability of data that is transferred between devices and also guarantees the privacy and secu-rity of end users. The creation and use of IoT systems directly affect the security and privacy of the involved and connected components. The presented study introduces an analysis of IoT ar-chitecture models with end-to-end security support. The conducted literature review reveals the challenges of various aspects of security faced by the IoT environment. Some models imple-menting different security strategies at different layers of the IoT are described. These include the perception layer which provides the authentication process for identifying IoT entities, the network layer which focuses on the security processes of cloud platforms, and the application layer which provides authentication and authorization for end users. The results of the analysis show that building secure IoT systems is based on three main strategies: proper configuring and ensuring the protection of all IoT devices; using secure wireless networks to connect IoT devic-es to corporate or global networks; constant situational awareness of security threats to IoT de-vices; and implementing appropriate security solutions to protect them from attacks. The ma-turity model of the IoT security system based on the ISA/IEC 62443 document package is also described.

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“…The Internet of Things contains an ecosystem that includes objects, communications, applications, and data analytics in which each object is identifiable. The IoT is used in industrial processing, agriculture, logistics, product lifecycle management, medicine, healthcare, smart home/building, public safety, environmental monitoring, intelligent mobility, and intelligent tourism (Rueda-Rueda & Portocarrero, 2021). Fig.…”

Section: Technologies Affecting the Supply Chain 40 121 Internet Of T...mentioning

confidence: 99%

“…The virtual reality user is fully involved in an artificial environment and has no interaction with the surrounding real world. However, augmented reality allows the user to see and interact with the real world and virtual Cañas et al, 2020;Kaya et al, 2020;Mostafa et al, 2019;Ramirez-Peña et al, 2020;Rueda-Rueda & Portocarrero, 2021;Sharma et al, 2020;Sobb et al, 2020;Frederico, 2021b Connecting any physical object to the world wide web and identifying it in the virtual world Internet of Things (IoT) Cañas, Mula & Campuzano-Bolarín, 2020;Chen, Dui & Zhang, 2020;Kaya, Paksoy & Garza-Reyes, 2020;Martins, Simon & Campos, 2020;Ramirez-Peña et al, 2020;Sobb, Turnbull & Moustafa, 2020;Wang & Zhang, 2020;Frederico, 2021a Integrating all systems and subsystems and their monitoring and control Cyber-Physical Systems (CPS) Singh et al, 2015;Schniederjans, Ozpolat & Chen, 2016;Suherman & Simatupang, 2017;Li, Sun & Wu, 2019;Alam, 2020;Kaya, Paksoy & Garza-Reyes, 2020;Martins, Simon & Campos, 2020;Ramirez-Peña et al, 2020;Sobb, Turnbull & Moustafa, 2020;Lu et al, 2021 Calculating data and analysing, connecting and storing it in the network Cloud Computing Hofmann, 2017;Lamba & Singh, 2017;Raman et al, 2018;Cañas, Mula & Campuzano-Bolarín, 2020;Kamble & Gunasekaran, 2020;Kaya, Paksoy & Garza-Reyes, 2020;Martins, Simon & Campos, 2020;…”

Section: Virtual Realitymentioning

confidence: 99%

Investigating cause-and-effect relationships between supply chain 4.0 technologies

Sharifpour

Ghaseminezhad

Hashemi-Tabatabaei

et al. 2022

Engineering Management in Production and Services

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The developments of the fourth industrial revolution have caused changes in all areas of society, including production. The changes in production caused by the fourth industrial revolution have also resulted in fundamental changes in the supply chain and have converted it to supply chain 4.0. Organisations must be receptive to supply chain 4.0 to maintain their competitive advantage. Therefore, this study aimed to investigate the relationships among supply chain 4.0 technologies so that, by learning and understanding these connections, industries can pave the way for the implementation of these technologies in their supply chains and use them in problem-solving. The literature review was used to identify the supply chain 4.0 technologies, and the Delphi technique was applied to extract them, including the Internet of Things (IoT), cyber-physical systems, cloud computing, big data, blockchain, artificial intelligence, Radio-frequency Identification (RFID), augmented reality, virtual reality, and simulation. The relationships of supply chain 4.0 technologies were examined using the DEMATEL technique and based on interpretive structural modelling (ISM), their deployment map was drawn. The type of technologies was determined using the MICMAC method. The MICMAC analysis found that the artificial intelligence technology is independent and, based on the findings through the DEMATEL technique, this technology is related to simulation, which belongs to the first level of the interpretive structural modelling technique, and IoT, cloud computing, big data, and blockchain technologies, which are at the second level. Based on the ISM method, RFID, virtual reality, augmented reality and simulation technologies are located at the first level; IoT, cyber-physical systems, cloud computing, big data and blockchain technologies are situated in the second level; and artificial intelligence technology belongs to the third level. According to the related literature, few studies have been conducted on the issues of supply chain 4.0 and the technologies that affect it.

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Framework-based security measures for Internet of Thing: A literature review

Cited by 5 publications

References 39 publications

An Integrated Multilayered Framework for IoT Security Intrusion Decisions

An Integrated Multilayered Framework for IoT Security Intrusion Decisions

Security models of the Internet of Things

Investigating cause-and-effect relationships between supply chain 4.0 technologies

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