Hybrid SDN-ICN Architecture Design for the Internet of Things

Saadeh, Huda; Almobaideen, Wesam; Sabri, Khair Eddin; Saadeh, Maha

doi:10.1109/sds.2019.8768582

Cited by 14 publications

(10 citation statements)

References 33 publications

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“…However, SDN and ICN are promising paradigms that could benefit from each other to solve multiple networking challenges of IoT services. Therefore, researchers have already started to integrate these paradigms to develop a Software-Defined Information-Centric Internet of Things (SDIC-IoT) architecture for seamless service provisioning [32]- [34]. SDN benefits of centralized control, robust management, and a global view of the network also apply to ICN.…”

Section: A Motivation Of This Surveymentioning

confidence: 99%

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Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Rafique

Hafid

Cherkaoui

2022

IEEE Internet Things J.

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IoT connects a large number of physical objects with the Internet that capture and exchange real-time information for service provisioning. Traditional network management schemes face challenges to manage vast amounts of network traffic generated by IoT services. Software-Defined Networking (SDN) and Information-Centric Networking (ICN) are two complementary technologies that could be integrated to solve the challenges of different aspects of IoT service provisioning. ICN offers a clean-slate design to accommodate continuously increasing network traffic by considering content as a network primitive. It provides a novel solution for information propagation and delivery for large-scale IoT services. On the other hand, SDN allocates overall network management responsibilities to the central controller, where network elements act merely as traffic forwarding components. An SDN-enabled network flexibly supports ICN without deploying ICN-capable hardware. Therefore, the integration of SDN and ICN provides benefits for large-scale IoT services. This paper provides a comprehensive survey on Software-Defined Information-Centric Internet of Things (SDIC-IoT) for IoT services provisioning. We present critical enabling technologies of SDIC-IoT, discuss its architecture, and elaborate its benefits for IoT services provisioning. We elaborate on key IoT service provisioning requirements and discuss how SDIC-IoT supports different aspects of IoT services. We develop different taxonomies of SDIC-IoT literature based on various performance parameters. Furthermore, an extensive discussion on different use cases, synergies, and advances is presented to envision the SDIC-IoT concept. Finally, we provide current challenges, causes, and future research directions of IoT services provisioning using SDIC-IoT.

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Section: A Motivation Of This Surveymentioning

confidence: 99%

“…As compared to the host-centric connectivity in IP networks, ICN allows its connected users to obtain required content from any location in the network [16]. Therefore, ICN could be exploited to solve the challenges in current IP networks, including mobility, energy efficiency, congestion, and security [32].…”

Section: A Information-centric Networkingmentioning

confidence: 99%

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Rafique

Hafid

Cherkaoui

2022

IEEE Internet Things J.

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“…They modify the idea of a basic forwarding table from [282] and apply it to the hybrid nodes using TCAM tables for OF-based routing entries and Static Random-Access Memory (RAM) tables for IP-based routing entries and emulate the architecture using MiniNet [244] with the Floodlight controller [245]. Saadeh et al [283], on the other hand, propose a hSDN architecture that combines Information Centric Network (ICN) and SDN. The proposed architecture aims to expand PPUSTMAN architecture [284] (see Zhang et al survey [285] for detailed ICN-SDN architectures information) by separating the controlling function into three controlling planes: Operational, Tactical, and Strategic planes.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

et al. 2021

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Software-Defined Networking (SDN) is an evolutionary networking paradigm which has been adopted by large network and cloud providers, among which are Tech Giants. However, embracing a new and futuristic paradigm as an alternative to well-established and mature legacy networking paradigm requires a lot of time along with considerable financial resources and technical expertise. Consequently, many enterprises can not afford it. A compromise solution then is a hybrid networking environment (a.k.a. Hybrid SDN (hSDN)) in which SDN functionalities are leveraged while existing traditional network infrastructures are acknowledged.Recently, hSDN has been seen as a viable networking solution for a diverse range of businesses and organizations. Accordingly, the body of literature on hSDN research has improved remarkably. On this account, we present this paper as a comprehensive state-of-the-art survey which expands upon hSDN from many different perspectives.

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“…For example, some authentication protocols are proposed by taking into consideration the limitation of resources in IoT devices [4] [5]. Others, propose different architectures design to increase the security such as [6] [7]. As the privacy of collected data is an important issue, algorithms are proposed to preserve the privacy [8].…”

Section: Introductionmentioning

confidence: 99%

A Secure IoT Framework Based on Blockchain and Machine Learning

Shahin¹,

Sabri²

2022

IJCDS

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Internet of Things (IoT) network consists of many devices that communicate together and exchange data. IoT network has many applications especially in smart city and smart campus. IoT devices usually produce a huge amount of data that are stored in the cloud to be analyzed later. Data in general and IoT devices data in particular suffer from major security issues such as the availability and the integrity of data. Blockchain is a new technology that offers an interesting solution for the security of sensitive IoT data by protecting data against malicious tampering. However, the data stored in the blockchain cannot be altered, therefore, it should be validated before being stored in the blockchain especially that IoT devices are vulnerable to attacks. Machine learning algorithms are very useful to detect compromised IoT devices to ensure that only reliable data are stored in the blockchain.The main aim of this paper is to propose a framework for storing reliable IoT data in a secure way that preserves the integrity and availability properties. First, to detect compromised IoT devices, several machine learning algorithms are evaluated. The IoTID20 dataset for anomalous activity detection in IoT network is used to build our machine learning model. IoTID20 dataset contains 80 network features and 625783 records. For our experiment, 4000 records are selected randomly from the dataset. Two algorithms are used to select features namely Logistic Regression and Pearson's correlation. A total of 15 features are selected in order to classify packets as (Normal, Anomaly). Several machine learning algorithms are trained: Logistic Regression, Random Forest, Decision Tree, K Nearest Neighbors, AdaBoost, and Naïve Bayes. These algorithms are compared based on the following measurements: accuracy, precision, recall, F1 score, and the time for classification. The results reveal that Random Forest and AdaBoost classifiers give very close results and are considered the best classifiers based on all performance metrics used in the paper except the time. Regarding the time required to detect malicious records, Decision Tree and Naïve Bayes are the best as the time required to predict 4000 records is 0.015 seconds.A private blockchain is built to store normal data received from IoT devices after being filtered. The data is signed and then distributed to all nodes in the network for verification. To provide scalability, the consensus algorithm of the blockchain is based on the proof of authority algorithm. As a proof of concepts, the blockchain is developed using Python programming language and the time required to verify the signatures is computed.

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Hybrid SDN-ICN Architecture Design for the Internet of Things

Cited by 14 publications

References 33 publications

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

A Secure IoT Framework Based on Blockchain and Machine Learning

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