IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

Balogh, Štefan; Gallo, Ondrej; Ploszek, Roderik; Špaček, Peter; Zajac, Pavol

doi:10.3390/electronics10212647

Cited by 47 publications

(25 citation statements)

References 113 publications

(111 reference statements)

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“…Such attacks pose a serious threat for wireless sensor networks. Different IoT wireless network attacks and detection possibilities were presented by Pamarthi and Narmadha [77] and Balogh et al [78].…”

Section: B Lack Of Budget and Knowledgementioning

confidence: 99%

Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review

et al. 2022

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The fourth industrial revolution taking place in the industrial sector is related to the increasing digitization and linkage of goods, products, value chains and business models. Industry 4.0 is based on the global connection of people, things and machines. By connecting devices and sensors to the internet, we are entering a new era of data analysis, connectivity and automation. This gives great opportunities for innovation and progress, previously unattainable in such a dimension. The term Internet of Things (IoT) has spread along with the vision of a world instrumented with intelligent inputs and outputs able to communicate with each other through internet data and technologies. IoT is being implemented in various areas of the modern economy, for example, healthcare, quality control, logistics, energy, agriculture and production. The Industrial Internet of Things (IIoT) blazes the trail to a better understanding of the manufacturing process, thus enabling efficient and sustainable production. The paper explains the concepts of IoT, IIoT and Industry 4.0. It highlights the accompanying opportunities, threats and challenges related to their implementation. Additionally, it presents an outline of computing architecture in IoT and related energy consumption issues. Moreover, it provides examples of application and IIoT research profiling.

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Section: B Lack Of Budget and Knowledgementioning

confidence: 99%

Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review

et al. 2022

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“…• Important challenge in intrusion detection based on IoT is that as time passes, the attacks become more intelligent and diverse [142]. The current IDSs are based on pattern-based or behavior-based statistical methods, which may not provide fundamental solutions for security intrusion or attacks [142,143]. A suggested solution by [142] is to use ontology reasoning to intelligently respond to security intrusions while employing an access control technique.…”

Section: Challenges and Recommendationsmentioning

confidence: 99%

“…Some IoT devices do not have enough computing memory for executing security precautions. Securing an IoT device against certain types of attacks consumes a significant amount of energy; thus, it is critical to first identify potential threats and then implement proper countermeasures for the specific architecture of the developed IoT system [143]. ML/DL techniques such as autoencoder can be used to handle potential threats (anomaly) since it requires knowledge of normal system operation only and it will identify the threat automatically when it crosses a certain threshold value [5,104].…”

Section: Challenges and Recommendationsmentioning

confidence: 99%

Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations

et al. 2022

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A datacentre stores information and manages data access in fast and reliable manner. Failure of datacentre operation is not an option and can be catastrophic. Internet of things (IoT) devices in datacentre can automate management tasks and reduce human intervention and error. IoT devices can be used to manage many datacentre routine tasks such as monitoring physical infrastructure, updating software and configuration, monitoring network traffic, and automating alerting reports to respective authorities. The physical and cyber security of the datacentre can be handled by IoT technology by intrusion detection methods. By 2025, more than 25 billion things will be connected to the internet network, therefore massive data will be generated by different heterogeneous sources, and powerful processing engines such as complex event processing (CEP) are needed to handle such a fast and continuous stream of big data. The integration of machine learning (ML) and deep learning (DL) can enhance CEP by introducing new features such as automated rule extraction and self-healing mechanism. This study aims to provide an overview of CEP, as well as its features and potential for integration with IoT applications and ML/DL techniques. We provide a review of recent research works to highlight the capability and applicability of CEP technology to monitor physical facilities and cyber security in detail. This review also highlights several issues and challenges, and provides suggestions for future research. The highlighted insights and recommendations in this paper could raise efforts toward the development of future datacentres based on CEP technology.

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“…Thus, for strong security guarantees in an integrated healthcare environment user authentication is a very important step. Blockchains are transformative technology that has the potential to change many sectors [ 30 , 31 , 32 ]. On the other hand, the downside of Blockchain technology is that it consumes a lot of energy to remain operational because they are incentivized to solve complex mathematical problems.…”

Section: Introductionmentioning

confidence: 99%

BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems

Kumar

Mukherjee²,

Verma

et al. 2022

Sensors

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The wearable healthcare equipment is primarily designed to alert patients of any specific health conditions or to act as a useful tool for treatment or follow-up. With the growth of technologies and connectivity, the security of these devices has become a growing concern. The lack of security awareness amongst novice users and the risk of several intermediary attacks for accessing health information severely endangers the use of IoT-enabled healthcare systems. In this paper, a blockchain-based secure data storage system is proposed along with a user authentication and health status prediction system. Firstly, this work utilizes reversed public-private keys combined Rivest–Shamir–Adleman (RP2-RSA) algorithm for providing security. Secondly, feature selection is completed by employing the correlation factor-induced salp swarm optimization algorithm (CF-SSOA). Finally, health status classification is performed using advanced weight initialization adapted SignReLU activation function-based artificial neural network (ASR-ANN) which classifies the status as normal and abnormal. Meanwhile, the abnormal measures are stored in the corresponding patient blockchain. Here, blockchain technology is used to store medical data securely for further analysis. The proposed model has achieved an accuracy of 95.893% and is validated by comparing it with other baseline techniques. On the security front, the proposed RP2-RSA attains a 96.123% security level.

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IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

Cited by 47 publications

References 113 publications

Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review

Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review

Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations

BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems

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