Blockchain Implementation in IoT Privacy and Cyber Security Feasibility Study and Analysis

Viswanadham, Yedida Venkata Rama Subramanya; Jayavel, Kayalvizhi

doi:10.1007/978-981-16-9885-9_22

Cited by 6 publications

(5 citation statements)

References 23 publications

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“…• Public blockchain: It is a new distributed ledger technology with no restrictions or permissions, where every member of the blockchain network can contribute to the distribution of new blocks and the use of blockchain content [27].…”

Section: B Taxonomy Of Blockchain Systemsmentioning

confidence: 99%

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A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

MAADALLAH,

KASSIMI,

EL BOUZEKRI EL IDRISSI

et al. 2024

IJCDS

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The Internet of Things (IoT) stands at the forefront of the latest generation of information technology advancements, signifying a crucial juncture in the integration of digital and physical domains. This integration is pivotal, facilitating a plethora of transformative digital services that substantially enhance user experiences by seamlessly melding virtual and physical elements. However, the rapid proliferation of IoT also brings to the fore a range of challenges, particularly in the realms of security, simplicity, and data integration. These challenges pose significant obstacles to the full realization of IoT's potential. This paper provides a comprehensive analysis of these challenges within the IoT framework. We delve into the intricacies of IoT environments, examining the security risks and integration complexities that arise. The paper proposes effective strategies to address these challenges, aiming to establish a more secure and reliable IoT infrastructure. We discuss innovative approaches for enhancing data integration and simplifying IoT systems while ensuring robust security measures are in place. Through this exploration, the paper aims to contribute to the ongoing development of IoT, offering insights into overcoming its current limitations and outlining a path for its future evolution. Our analysis underscores the need for continuous research and innovation in this field, setting the stage for the emergence of more advanced, secure, and user-friendly IoT applications across various industries.

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Section: B Taxonomy Of Blockchain Systemsmentioning

confidence: 99%

“…• Private blockchain: Appropriate for companies operating in a restricted environment under a structured administration where only certain members can join the blockchain network. [27].…”

Section: B Taxonomy Of Blockchain Systemsmentioning

confidence: 99%

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

MAADALLAH,

KASSIMI,

EL BOUZEKRI EL IDRISSI

et al. 2024

IJCDS

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“…Vrabie [ 94 ] presented IoT services that could help to develop smart cities and provided numerous examples of cities that have implemented these concepts. Viswanadham and Jayavel [ 95 ] surveyed related research on blockchain technology implemented within IoT devices and applications. They aimed to provide an understanding of blockchain security and privacy features for IoT services.…”

Section: Cybersecurity In Smart Citiesmentioning

confidence: 99%

“…IoT Abomhara and Køien [88] 2015 Threat classification, attack characterization and an analysis of IoT devices Rohokale and Prasad [89] 2015 A critical systematic review of cyberthreats to heterogeneous IoT networks Saadeh et al [90] 2016 A survey of IoT authentication techniques Sivanathan et al [91] 2017 An evaluation of vulnerabilities through CIA and the capability of DDoS attacks Neshenko [92] 2018 An evaluation of large-scale malicious IoT data from cyberthreat intelligence Ainane et al [93] 2018 An identification of data and protocol exchanges between users and IoT applications Vrabie [94] 2018 How IoT networks and services can develop smart cities Viswanadham and Jayavel [95] 2018 The implementation of blockchain in IoT security and its domain Lewis [96] 2018 The security of IoT networks and devices Wu et al [97] 2018 Hyperconnected interdependent IoT services and future applications James [98] 2019 The detection of critical attacks on IoT devices by executing cybersecuritybased attacks Shokeen et al [99] 2019 An accurate evaluation of each vulnerability of IoT systems Roukounaki et al [100] 2019 The identification of threats using security analytics algorithms, vulnerabilities, and attacks Van Kleek et al [101] 2019 The classification of IoT device data in privacy-empowering networks Thorburn et al [102] 2019 Basic future frameworks for IoT devices that share data with third parties Nwafor and Olufowobi [103] 2019 An anomaly detection system for events in IoT ecosystems Ullah et al [104] 2019 The detection of infected SW and files across IoT networks using deep learning (DL) Sharma et al [105] 2020 The computerized security of IoT devices Karie et al [106] 2020 A literature review of IoT threat detection and security challenges Andrade et al [107] 2020 An evaluation of IoT cybersecurity maturity in smart cities according to its risk levels Singh et al [108] 2020 The types of IoT security threats and their countermeasures Cvitić et al [109] 2021 The detection of DDoS traffic attack using logistic model trees on different IoT devices Jhanjhi et al [110] 2021 An investigation of cyberattacks that target the four layers of the IoT Strecker et al [111] 2021 The detection of malicious and anomalous data in IoT systems using machine learning (ML) Ahmed et al…”

Section: Category Authors Year Approach/experimentsmentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

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Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart cities, various network technologies, such as the Internet and IoT, are combined to exchange real-time information, making the everyday lives of their residents more convenient. However, there is a lack of systematic research on cybersecurity and cyber forensics in smart cities. This paper presents a comprehensive review and survey of cybersecurity and cyber forensics for smart cities. We analysed 154 papers that were published from 2015 to 2022 and proposed a new framework based on a decade of related research papers. We identified four major areas and eleven sub-areas for smart cities. We found that smart homes and the IoT were the most active research areas within the cybersecurity field. Additionally, we found that research on cyber forensics for smart cities was relatively limited compared to that on cybersecurity. Since 2020, there have been many studies on the IoT (which is a technological component of smart cities) that have utilized machine learning and deep learning. Due to the transmission of large-scale data through IoT devices in smart cities, ML and DL are expected to continue playing critical roles in smart city research.

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“…In [ 3 ], the authors carried out a comprehensive study regarding IoT security from more perspectives, showing that attacks can occur on all three layers of IoT systems (application, network, and physical). Works [ 4 , 5 , 6 , 7 , 8 , 9 ] present comprehensive studies related to the security of the IoT domain, with different focuses: general threats, security solutions based on machine learning, or artificial intelligence. IoT devices are significant in industry, which has resulted in a specialized branch, Industry IoT (IIoT).…”

Section: Introductionmentioning

confidence: 99%

Elliptic Curve-Based Query Authentication Protocol for IoT Devices Aided by Blockchain

Nita

Mihăilescu

2023

Sensors

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Digital transformation has increased its proportion in the last few years and the Internet-on-Things (IoT) domain is not an exception, with more and more devices or sensors being connected to the Internet and transmitting different types of data. Usually, being part of more complex IT systems, it must be ensured that the IoT devices transmitting the data are authenticated components of the system before sending the data to a storage server. However, usually, IoT devices have limited computing power, therefore all of the work that they are doing should not be too expensive in terms of computations. This is the case for the authentication mechanism, too. Having this context, in this paper, we propose an authentication mechanism for IoT devices based on elliptic curves, which are known as having a low computational cost compared to other techniques used in cryptography that provide the same level of security. The proposed system includes a blockchain network that will verify the identity of the device which tries to connect within the system to send the data to the storage server, a process that will be made together with the storage server. Once the identity is valid, the blockchain records the transaction and the storage server initiates the data transmission process. Besides including a lightweight authentication mechanism, the proposed method has several other important properties due to it using the blockchain network. Compared to the related work that we analyzed, we show that the proposed authentication mechanism is secure against common attacks designed for IoT devices. The performance analysis shows that the authentication query made by the IoT device takes place in less than a second on both a MSP430F1611 microcontroller and a MICAz sensor.

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Blockchain Implementation in IoT Privacy and Cyber Security Feasibility Study and Analysis

Cited by 6 publications

References 23 publications

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Elliptic Curve-Based Query Authentication Protocol for IoT Devices Aided by Blockchain

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