A Study on Device Security in IoT Convergence

Kim, Hyun‐Jin; Chang, Hyunsoo; Suh, Jeong-Jun; Shon, Taeshik

doi:10.1109/icimsa.2016.7503989

Cited by 19 publications

(4 citation statements)

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“…In IoT, there is an absence of a common framework, so all the manufacturers retain privacy and security at their own risk. Once a standard framework is implemented, then the security issue will be resolved [15].…”

Section: Common Frameworkmentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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In our daily life, Internet-of-Things (IoT) is everywhere and used in many more beneficial functionalities. It is used in our homes, hospitals, fire prevention, and reporting and controlling the environmental changes. Data security is the crucial requirement for IoT since the number of recent technologies in different domains is increasing day by day. Various attempts have been made to cater the user’s demands for more security and privacy. However, a huge risk of security and privacy issues can arise among all those benefits. Digital document security and copyright protection are also important issues in IoT because they are distributed, reproduced, and disclosed with extensive use of communication technologies. The content of books, research papers, newspapers, legal documents, and web pages are based on plain text, and the ownership verification and authentication of such documents are essential. In the current domain of the Internet of Things, limited techniques are available for ownership verification and copyright protection. In the said perspective, this study includes the discussion about the approaches of text watermarking, IoT security challenges, IoT device limitations, and future research directions in the area of text watermarking.

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Section: Common Frameworkmentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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“…They also identified challenges and existing gaps in current works for machine learning-based IoT security. Moh et al [43] also focused on surveying of different machine learning techniques for IoT and fog computing security. They illustrated different machine learning techniques to identify threats and attacks in IoT network and also presented machine learning based solutions.…”

Section: Related Workmentioning

confidence: 99%

Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

Ali,

Khan,

Khalid

2023

J Big Data

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Internet of Things (IoT) driven systems have been sharply growing in the recent times but this evolution is hampered by cybersecurity threats like spoofing, denial of service (DoS), distributed denial of service (DDoS) attacks, intrusions, malwares, authentication problems or other fatal attacks. The impacts of these security threats can be diminished by providing protection towards the different IoT security features. Different technological solutions have been presented to cope with the vulnerabilities and providing overall security towards IoT systems operating in numerous environments. In order to attain the full-pledged security of any IoT-driven system the significant contribution presented by artificial neural networks (ANNs) is worthy to be highlighted. Therefore, a systematic approach is presented to unfold the efforts and approaches of ANNs towards the security challenges of IoT. This systematic literature review (SLR) is composed of three (3) research questions (RQs) such that in RQ1, the major focus is to identify security requirements or criteria that defines a full-pledge IoT system. This question also focusses on pinpointing the different types of ANNs approaches that are contributing towards IoT security. In RQ2, we highlighted and discussed the contributions of ANNs approaches for individual security requirement/feature in comprehensive and detailed fashion. In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. In RQ3, different security mechanisms presented by ANNs especially towards intrusion detection system (IDS) in IoT along with their performances are comparatively discussed. In this research, 143 research papers have been used for analysis which are providing security solutions towards IoT security issues. A comprehensive and in-depth analysis of selected studies have been made to understand the current research gaps and future research works in this domain.

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“…Invalid low power nodes might get access to the subnet cluster in the local networks. There also might be case where some of the nodes could be more resource constrained and cannot support the high requirement security mechanism/cryptographic operations such as authentication/key management and bootstrapping [7].…”

Section: Threat Vectorsmentioning

confidence: 99%

“…This node will be responsible for monitoring the behavior of nodes at local cluster and detect malicious activities and provide necessary security resources to more resource-constrained environments. To assure that only valid nodes should join the local network, a secure bootstrapping mechanism would be needed [7].…”

Section: Threat Vectorsmentioning

confidence: 99%

Securing Gadget-Free Digital Services

et al. 2018

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With the recent advancements in sensor and communication technologies, the world is facing a digital transition where nearby environments are intelligent enough to provide user-intended services without using any hand-held gadgets. This article proposes applying a three-tier communication and service architecture for such gadget-free environment, identifies its potential vulnerabilities and proposes a corresponding threetier security mechanism for enabling secure access to the gadgetfree digital services.

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A Study on Device Security in IoT Convergence

Cited by 19 publications

References 0 publications

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

Securing Gadget-Free Digital Services

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