A Review of Security in Internet of Things

Harbi, Yasmine; Aliouat, Zibouda; Harous, Saad; Bentaleb, Abdelhak; Refoufi, Allaoua

doi:10.1007/s11277-019-06405-y

Cited by 59 publications

(42 citation statements)

References 44 publications

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“…In the work of Harbi et al, different attacks are identified in IoT, namely node injection and tempering, sinkhole, replay, and social engineering. There security requirements data, communication, and device level are emphasized.…”

Section: Methodsmentioning

confidence: 99%

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Batra

Verma

Kavita

et al. 2019

Int J Communication

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Internet of things (IoT) has evolved as an innovation of next generation in this world of smart devices. IoT tends to provide services for data collection, data management, and data and device security required for application development. Things or devices in IoT communicate and compute to make our lives comfortable and safe. In inventory automation, real-time check on items, their information management, and status management, monitoring can be carried out using IoT. The huge amount of data that flows among the devices in the network demands for a security framework that ensures authentication, authorization, integrity, and confidentiality of data. The existing security solutions like SIMON or SPECK offer lightweight security solutions but are vulnerable to differential attack because of their simplicity. Moreover, existing solutions do not offer inbuilt authentication. Therefore, this research work contributes a secure and lightweight IoT-based framework using wireless sensor network (WSN) as a technology. The existing security solutions SPECK and SIMON are compared with the proposed security approach using COOJA simulator. The results show that proposed approach outstands others by 2% reduction in number of CPU cycles, 10% less execution time, 4% less memory requirements of security approach, and with minimum 10% more security impact.

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Section: Methodsmentioning

confidence: 99%

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Batra

Verma

Kavita

et al. 2019

Int J Communication

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“…Furthermore, the prediction output can be processed and obtained instantaneously based on the continuously trained data. Arguably, there are potential drawbacks including ethical issues and personal data security through the IoT ( Harbi et al, 2019 , Summer, 2016 ); however, the potential benefit as a result of the proposed use of the IoT could be significant, thereby identifying and offering support for individuals who need such support most; furthermore, data could be encrypted to avoid any misuse. In this way, a combination of the internet, technology and big data can be used not only to advance the UN SDG 3, but also to support organisational sustainability and economic progress.…”

Section: Conclusion Limitations and Future Researchmentioning

confidence: 99%

Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis

Weerakkody

Sivarajah

Mahroof

et al. 2021

Journal of Business Research

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Business leaders and policymakers within service economies are placing greater emphasis on well-being, given the role of workers in such settings. Whilst people’s well-being can lead to economic growth, it can also have the opposite effect if overlooked. Therefore, enhancing subjective well-being (SWB) is pertinent for all organisations for the sustainable development of an economy. While health conditions were previously deemed the most reliable predictors, the availability of data on people’s personal lifestyles now offers a new dimension into well-being for organisations. Using open data available from the national Annual Population Survey in the UK, which measures SWB, this research uncovered that among several independent variables to predict varying levels of people's perceived well-being, long-term health conditions, one's marital status, and age played a key role in SWB. The proposed model provides the key indicators of measuring SWB for organisations using big data.

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“…Ciphers are generated in the time period [0, TS] for all valid Q. The hash h is estimated for a request R, which is given as in Equation (8).…”

Section: Step 2 the Contributing Hash At The Intermediate Gateways Imentioning

confidence: 99%

“…Decentralization being the common paradigm of both WSN and IoT, security measures and authentication process are administered in both nodes/device-level and network-level to improve the reliability of the network. 8 Blockchain 9 is distributed security technology that encompasses authentication, cryptographic function, peer-to-peer communication, storage, and access related features. With multiple beneficial features and decentralized and adaptable nature, blockchain is employed in various fields for providing security.…”

mentioning

confidence: 99%

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

Sheron

Sridhar

Baskar

et al. 2019

Trans Emerging Tel Tech

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The development of Internet of Things (IoT) has granted multiple interoperable features for user to digital things communication. The future communication technology and service provisioning in IoT is large scaling an open environment. The large scale IoT environment is supported by sensor network and independent nodes. The intelligent computing, storage, and computation features of the nodes are inherited by the IoT paradigm for its application and service support. In such an open environment, security is a prominent issue that must be administered in a decentralized manner. In this manuscript, a decentralized and scalable security framework for future IoT is designed. This framework exploits the advantages of intelligent computing and tree-based hash for device and request authentication to provide device-to-device security. The tree-based hash is used for authenticating requests and the central authority-based security feature of the framework provides device level security, ensuring better privacy and integrity in communications. The experimental analysis of the proposed security framework is analyzed in terms of detection rate, communication loss, disconnection ratio, and delay. 1 INTRODUCTION Internet of Things (IoT) has emerged as an advanced technology in the recent years of communication field incorporating diverse networks, applications, and services. The concept of IoT is to integrate communicating "things" and human users as a single entity through digital medium. It is capable of visualizing real-time components, data, and information as a digital perspective for distributed access, communication, and sharing. 1 Heterogeneous networks, long-and short-range communication infrastructures, multilevel protocols, applications, and services are present in IoT for pervasive access. This eases interaction between devices, data sharing, uninterrupted communication, resource management, storage, and access for end-users demanding reliable service quality. 2 End-users initiate queries through requests that are processed at different IoT platforms including cloud and gateways. Distributed resources are migrated toward end-user devices through applications boasted for services. Extended network functions such as complex computations, system analysis, storage, and retrieval are performed with the support of heterogeneous service providers. A notable heterogeneous service provider is cloud platform that is capable of strengthening the ubiquitous access and multilevel device interaction of the end-users. 3 The "things" connected in an IoT environment includes short range static devices such as RFIDs to mobile smart devices such as IoT vehicles. The smart nature of the devices is exploited by augmenting sensor-based battery powered circuits that serves the communication purpose. With the equipped electronic circuits, the device is capable of participating in external communication and joining heterogeneous network. Wireless sensor network (WSN) is a renowned technology

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A Review of Security in Internet of Things

Cited by 59 publications

References 44 publications

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

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