A Survey on the Bottleneck Between Applications Exploding and User Requirements in IoT

Shan, Cui; Farha, Fadi; Ning, Huansheng; Zhou, Zhangbing; Shi, Feifei; Daneshmand, Mahmoud

doi:10.1109/jiot.2021.3097634

Cited by 14 publications

(12 citation statements)

References 67 publications

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“…IoT developers should understand that “Multivariate Hawkes Process utilizes the mutual exciting property to identify the latent influence between attackers, while the Latent Distance Model captures the sparse interaction property” (Sun et al , 2019, p. 470). Based on Cui et al (2022), it is significant for IoT developers to protect storing users’ data and achieve security and privacy of IoT by using cryptographic algorithms that are characterized lightweight and robust to prevent attackers and hackers from illegal reaching data. Alsetoohy et al (2019) recommended information technologies enterprises deal with other enterprises specialized in security issues to ensure intelligent agent technology software security against hackers and prevent attackers from reaching hotels' and suppliers' sensitive data.…”

Section: Practical Implications and Recommendationsmentioning

confidence: 99%

“…Figure 5 summarizes and ranks the challenges of IoT adoption in hospitality research, including foodservice and logistics, hotels, restaurants and resorts. The architecture of IoT faces several challenges, including security, privacy, applications' reliability and accuracy, Internet of things applications' scalability and diversity, and energy consumption (Cui et al, 2022). IoT technologies face challenges of malware attacks, protecting the privacy of the user data (Makhdoom et al, 2018), as well as the lack of protocols for speaking among IoT applications (Pizam, 2017).…”

Section: Challenges Of Internet Of Things Adoption In Hospitality Res...mentioning

confidence: 99%

“…Alsetoohy et al (2019) recommended information technologies enterprises deal with other enterprises specialized in security issues to ensure intelligent agent technology software security against hackers and prevent attackers from reaching hotels' and suppliers' sensitive data. It is advisable for IoT developers to design IoT applications that could conserve energy consumption, in addition to considering users' requirements (Cui et al , 2022).…”

Section: Practical Implications and Recommendationsmentioning

confidence: 99%

“…Our review is timely and critical to assist hospitality firms in choosing among IoT applications and in making informed decisions with regard to IoT service development because these decisions tend to be very difficult (Cui et al , 2022). Our recent study was also initiated on the recommendation of Beldona et al (2018), to identify viable IoT technologies in hospitality.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A systematic and critical review of Internet of Things in contemporary hospitality: a roadmap and avenues for future research

Elkhwesky

Elkhwesky²

2022

IJCHM

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Purpose Internet of Things (IoT) is a key enabler of big data and it is critical toward a new age of firm's architecture and proper decision-making for the industry. IoT adoption by the hospitality and tourism (H&T) industries is still rare and with contrasting evidence. The purpose of this study is to highlight the concept of IoT, its benefits, its challenges and its applications in the hospitality industry. Design/methodology/approach This study presents an in-depth and critical review of the 78 articles published on IoT in hospitality, spanning more than seven years (from 2015 to March 2022). The eligible 78 articles were collected from the “Web of Science database” and H&T Social Sciences Citation Index-listed journals. Findings This systematic review exhibits that IoT in hospitality has advanced in the past seven years. IoT has brought many advantages and challenges in hospitality. However, hospitality IoT research is scarce, necessitating a profound and more thorough investigation of many significant matters. Practical implications This systematic review provides significant implications and recommendations for hospitality sectors, IoT developers and manufacturers, governments and policymakers. This review ends with an in-depth research agenda with several research questions and a framework to achieve theoretical and empirical advances in future IoT research. Originality/value To the best of the authors’ knowledge, the current research is one of the first to systematically and critically review IoT with its concept, benefits, challenges and applications in a hospitality context. This major review provides a comprehensive idea of the focus of the past studies and what must be concentrated in future research.

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Section: Practical Implications and Recommendationsmentioning

confidence: 99%

Section: Challenges Of Internet Of Things Adoption In Hospitality Res...mentioning

confidence: 99%

Section: Practical Implications and Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A systematic and critical review of Internet of Things in contemporary hospitality: a roadmap and avenues for future research

Elkhwesky

Elkhwesky²

2022

IJCHM

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“…Meanwhile, Things are deployed to process (e.g. store or compute) users' data with very low latency near realtime [18]. In many cases, those IoT-enabled BC-based systems are deployed in permissioned settings [19,20], where a TTP or a server monitors and controls the security of the system [21].…”

Section: A Blockchain and Iotmentioning

confidence: 99%

Machine Learning for Alternative Mining in PoW-based Blockchains: Theory, Implications and Applications

Baniata¹,

Prodan²,

Kertész³

2022

Preprint

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<p>Blockchain (BC) technology provides a secure distributed transactional database, that can enhance the security and privacy of decentralized systems and applications, e.g. distributed identity, supply chain and Internet of Things (IoT). The most known secure consensus mechanism for permissionless BCs is the Proof-of-Wok (PoW) algorithm. Many argue that the fastest approach to mine new blocks in PoW-based BC networks (although too energy consuming) is Brute-forcing the nonce. In this paper, we demonstrate how a well-trained Machine Learning (ML) model can find more accurate initial nonce values for this problem aiming to decrease the total energy consumption. We attempt to identify linear relationships between inputs and outputs of the classical mining processes, which typically use pure Brute-force techniques to solve the problem. Then, we integrate two ML models, namely SGDRegressor and LinearRegressor with PolynomialFeatures, into a classical mining method to predict the solution. For this, we use more than 780k+ real Bitcoin blocks for training and testing. We mathematically formalize our analysis and propose equations to predict and score the total enhancement, for any ML model deployment, compared to classical mining. We experimentally prove that our method can mine faster than the classical method. Furthermore, we discuss the implications on the node level and the network level, including the allowance for taking over the system by controlling a portion of only 35.5% out of the total computational power of the network. Finally, we apply our method in an integrated IoT-Fog-Blockchain system to enhance the fairness among participating miners.</p>

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A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption

Tang,

Liu,

et al. 2023

Pervasive and Mobile Computing

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A Survey on the Bottleneck Between Applications Exploding and User Requirements in IoT

Cited by 14 publications

References 67 publications

A systematic and critical review of Internet of Things in contemporary hospitality: a roadmap and avenues for future research

A systematic and critical review of Internet of Things in contemporary hospitality: a roadmap and avenues for future research

Machine Learning for Alternative Mining in PoW-based Blockchains: Theory, Implications and Applications

A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption

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