Challenges to be addressed to realize Internet of Things solutions for smart environments

Patrono, Luigi; Atzori, Luigi; Šolić, Petar; Mongiello, Marina; Almeida, Aitor

doi:10.1016/j.future.2019.09.033

Cited by 21 publications

(20 citation statements)

References 28 publications

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“…Here, it should be noticed that if (C//L// Nu// Id u ) exists in h list 1 , then response is a flop and exists. So, y is a uniformly selected number, here, the probability failure is nope extra then 1 q , which can be ignored. When JNT has the capacity derived the same signature such that Provider-Signature Generation process as like…”

Section: B Correctnessmentioning

confidence: 99%

“…The Internet of Things (IoT) has been acknowledged as a potential deployment area for Named Data Networking (NDN) over the traditional host-to-host approach, due to the huge amount of data dissemination produced by the IoT devices [1]. The current host-to-host nature of the Internet is not suitable for handling these smart devices because of the issues such as high latency, less security, limited address spacing and caching, etc., and therefore may not be able to provide efficient content distribution to the end-users [2].…”

Section: Introductionmentioning

confidence: 99%

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A Lightweight Identity-Based Signature Scheme for Mitigation of Content Poisoning Attack in Named Data Networking With Internet of Things

Ullah

Khattak

et al. 2020

IEEE Access

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Named Data Networking (NDN) is one of the future envisioned networking paradigm used to provide fast and efficient content dissemination with interest-based content retrieval, name-based routing and in-network content caching. On the one hand, this new breed of future Internet architecture is becoming a key technology for data dissemination in the IoT networks; on the other hand, NDN suffers from new challenges in terms of data security. Among them, a content poisoning attack is the most common data security challenge. The aim of this attack is to inject poisoned content with an invalid signature to the network. Therefore, to prevent NDN against possible content poisoning attack, a signature of the contents is appended to each data packet for verifications. In this paper, we propose an identity-based signature scheme for IoT-based NDN networks, with a special emphasis on content integrity and authenticity. The proposed scheme is based on the concept of the Hyperelliptic curves, which provide the same level of security as Rivest-Shamir-Adleman (RSA), Bilinear pairing and Elliptic Curve Cryptosystems (ECC) with lower-key size. The proposed scheme is subject to both formal and informal security analysis in order to show the feasibility of our scheme. Finally, the performance of the proposed scheme is analyzed via comparison with the relevant existing schemes that authenticates the superiority of our scheme in terms of security and efficiency. INDEX TERMS Content poisoning attack, named data networking (NDN), Internet of Things, identity-based signature.

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Section: B Correctnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Lightweight Identity-Based Signature Scheme for Mitigation of Content Poisoning Attack in Named Data Networking With Internet of Things

Ullah

Khattak

et al. 2020

IEEE Access

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“…Data management: IoT technology has the capability to generate massive data in real-time that demands effective management at the storage level. 36,37 The collaborative fog-cloud computing paradigm incorporated in the current research provides sufficient resources and tools to manage the temporally diverse data in real-time for realizing an optimal solution of IoT-inspired smart restaurants. Moreover, with unlimited storage capacity at the cloud level, large cloud-based service can be realized effectively.…”

Section: Research Challengesmentioning

confidence: 99%

“…However, the efficient deployment of IoT technology needs to address several important research challenges. These include: Data management : IoT technology has the capability to generate massive data in real‐time that demands effective management at the storage level 36,37 . The collaborative fog‐cloud computing paradigm incorporated in the current research provides sufficient resources and tools to manage the temporally diverse data in real‐time for realizing an optimal solution of IoT‐inspired smart restaurants.…”

Section: Experimental Implementationmentioning

confidence: 99%

Game theory based framework of smart food quality assessment

Bhatia

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) technology backed by fog-cloud computing has conceptualized the notion of Industry 4.0. Motivated from this, smart restaurants presents a novel vision of provisioning effective food quality assessment based on game-theoretic decision-modeling techniques. This research presents an IoT-inspired framework to analyze restaurants and food-hubs for food quality perspective. Specifically, IoT technology is used to acquire ubiquitous data inside restaurant environment that can impact food quality directly and indirectly. This data is analyzed over the fog-cloud computing platform to formulate a quantification measure in terms of probability of food quality using Bayesian modeling technique. In addition to this, food quality assurance index is estimated to present a unifying factor for food quality assessment over temporal scale. Finally, a three-player game-model is presented for food quality-based decision making by the customers, restaurant managers, and monitoring officials. For validation purposes, the proposed model is deployed in four restaurants of Amritsar, India. The comparative analysis was performed with state-of-the-art decision-making modeling techniques, which showed the superiority of the presented technique in terms of temporal efficiency, statistical performance enhancement, correlation analysis, stability, and reliability. Moreover, a mathematical evaluation has been performed to depict the overall performance enhancement for the proposed decision-making.

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“…In addition, IoT devices offer the possibility of lowering the computations down to the edge layer, that is to say, closer to where data are generated and collected. This can be particularly attractive in contexts where the latency caused by the interactions among the elements of the IoT environment and the cloud is too high [ 4 ] or crucial. These two technological advances, a greater distribution of knowledge and its computation and the appearance of more advanced sensors capable of executing certain computations reducing the latency, must be included in the services proposed by cities.…”

Section: Introductionmentioning

confidence: 99%

PADL: A Modeling and Deployment Language for Advanced Analytical Services

Díaz-de-Arcaya

Miñón

Torre-Bastida

et al. 2020

Sensors

Self Cite

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In the smart city context, Big Data analytics plays an important role in processing the data collected through IoT devices. The analysis of the information gathered by sensors favors the generation of specific services and systems that not only improve the quality of life of the citizens, but also optimize the city resources. However, the difficulties of implementing this entire process in real scenarios are manifold, including the huge amount and heterogeneity of the devices, their geographical distribution, and the complexity of the necessary IT infrastructures. For this reason, the main contribution of this paper is the PADL description language, which has been specifically tailored to assist in the definition and operationalization phases of the machine learning life cycle. It provides annotations that serve as an abstraction layer from the underlying infrastructure and technologies, hence facilitating the work of data scientists and engineers. Due to its proficiency in the operationalization of distributed pipelines over edge, fog, and cloud layers, it is particularly useful in the complex and heterogeneous environments of smart cities. For this purpose, PADL contains functionalities for the specification of monitoring, notifications, and actuation capabilities. In addition, we provide tools that facilitate its adoption in production environments. Finally, we showcase the usefulness of the language by showing the definition of PADL-compliant analytical pipelines over two uses cases in a smart city context (flood control and waste management), demonstrating that its adoption is simple and beneficial for the definition of information and process flows in such environments.

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Challenges to be addressed to realize Internet of Things solutions for smart environments

Cited by 21 publications

References 28 publications

A Lightweight Identity-Based Signature Scheme for Mitigation of Content Poisoning Attack in Named Data Networking With Internet of Things

A Lightweight Identity-Based Signature Scheme for Mitigation of Content Poisoning Attack in Named Data Networking With Internet of Things

Game theory based framework of smart food quality assessment

PADL: A Modeling and Deployment Language for Advanced Analytical Services

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