A Novel Distributed SDN-Secured Architecture for the IoT

González, Carlos J.; Flauzac, Olivier; Nolot, Florent; Jara, Antonio J.

doi:10.1109/dcoss.2016.22

Cited by 18 publications

(12 citation statements)

References 20 publications

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“…The architecture proposed in [11] constructs a horizontal IoT SDN-based built upon 4 layers: 1) Device layer, constituted by the sensors for data collection; 2) Communica- tion layer, formed by routers and SDN-gateways; 3) Computing layer, where a controller provides accounting and billing mechanisms; and 4) Service layer, enabling the developers and operators to program SDN-controllers in order to deploy IoT services. The work in [12] illustrates a SDNbased secure architecture for IoT (cluster-SDN) making use of network virtualization and Open Flow to deploy virtual nodes. All nodes are clustered and each cluster head assumes a controller function.…”

Section: Related Workmentioning

confidence: 99%

Securing combined Fog-to-Cloud system Through SDN Approach

Kahvazadeh

Souza

Masip-Bruin

et al. 2017

Proceedings of the 4th Workshop on CrossCloud Infrastructures &Amp; Platforms - Crosscloud'17

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Future IoT services execution may benefit from combining resources at cloud and at the edge. To that end, new architectures should be proposed to handle IoT services in a coordinated way at either the edge of the network, the cloud, or both. Reacting to that need, the Fog-to-Cloud concept has been recently proposed. A key aspect in the F2C design refers to security, since F2C raises security issues besides those yet unsolved in fog and cloud. Thus, we envision the need for new security strategies to handle all components in the F2C architecture. In this paper we propose an SDNbased (mater/slave) security architecture leveraging a centralized controller on the cloud, and distributed controllers at the edge of the network. We argue that the proposed architecture brings more security and privacy to the cloud users by reducing the distance between them and, therefore, reducing the risks of the so called man-in-the-middle attacks. The proposed security architecture is analyzed in some critical infrastructure scenarios in order to illustrate their potential benefits.

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Section: Related Workmentioning

confidence: 99%

Securing combined Fog-to-Cloud system Through SDN Approach

Kahvazadeh

Souza

Masip-Bruin

et al. 2017

Proceedings of the 4th Workshop on CrossCloud Infrastructures &Amp; Platforms - Crosscloud'17

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“…The work presented in this paper is an extended version of our previous works . In Flauzac et al, we proposed a self‐stabilizing algorithm solution to build clusters for the WSN and ad‐hoc networks.…”

Section: Introductionmentioning

confidence: 99%

“…The diameter of each cluster is not set, and we assume the cluster head is the most powerful node of the cluster. In Gonzalez et al, we presented an extension of our previous solution to IoT. This work describes the process of routing inter‐domain communication for distributed SDN architecture.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we present the generalization of our earlier architecture for ad‐hoc networks and IoT based on clusters, including a security solution with an SDN approach for IoT networks. We also describe how to route information between different networks using only OpenFlow rules and without involving the devices when performing the route processing.…”

Section: Introductionmentioning

confidence: 99%

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An SDN approach to route massive data flows of sensor networks

Flauzac

Santamaria

Nolot

et al. 2020

Int J Communication

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With the advent of the Internet of Things (IoT), more and more devices can establish a connection with local area networks and use routing protocols to forward all information to the sink. But these devices may not have enough resources to execute a complex routing protocol or to memorize all information about the network. With proactive routing protocols, each node calculates the best path, and it needs enough resources to memorize the network topology.With reactive routing protocols, each node has to broadcast the message to learn the right path that the packets must follow. In all cases, in large networks such as IoT, this is not an appropriate mechanism. This paper presents a new software-defined network (SDN)-based network architecture to optimize the resource consumption of each IoT object while securing the exchange of messages between the embedded devices. In this architecture, the controller is in charge of all decisions, and objects only exchange messages and forward packets among themselves. In the case of large networks, the network is organized into clusters. Our proposed network architectures are tested with 1000 things grouped in five clusters and managed by one SDN controller. The tests using OpenDayLight and IoT embedded applications have been implemented on several scenarios providing the ability and the scalability from dynamic reorganization of the end-devices. This approach explores the network performance issues using a virtualized SDN-clustered environment which contributes to a new model for future network architectures. KEYWORDScomputer network management, distributed computing, Internet of Things, network topology, software-defined networking, wireless sensor networks INTRODUCTIONWith the Internet of Things (IoT), we have more and more devices connected to our local area network. Many of these things are only sensor devices to control humidity or the temperature of a room or to measure atmospheric pressure to predict the weather. Each of these devices is connected to the local area network of an enterprise or on the metropolitan network of a town. Sometimes, these things involve remote control as with thermostats or exchange of information between themselves as with smoke detection systems. Our goal with each thing is not only to route information on a network but also to execute orders of some kind. With the new paradigm of software-defined networking (SDN), 1,2 being one of the major research subjects obtaining support from a large number of major industries, we can decouple the control Int J Commun Syst. 2020;33:e4309.wileyonlinelibrary.com/journal/dac

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“…But such a centralized control design has several drawbacks[42], especially when the interconnected network becomes dense at the user edge as in case of IoT networks. Many authors have proposed a distributed SDN controller architecture[43] [44] which overcomes the single point of failure scenario and provides better management control over the underlying network. In the distributed architecture, all SDN controllers are further managed and controlled by a remote master SDN controller.…”

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confidence: 99%

An IoT Gateway Middleware for interoperability in SDN Managed Internet of Things

Budakoti¹

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Internet of Things (IoT) refers to interconnection of billions of things which include objects, services and living beings. The realization of IoT systems will fundamentally change how we interact with the world; a key technology in that direction is middleware.Middleware is an intermediary software system between IoT devices and application services. The objective of this thesis is to propose a lightweight middleware solution which can be deployed both on the Cloud (remote data centers) for intense analytics and on the Edge Network (nearby IoT Gateways) for local analytics to support near real time applications, and which supports interoperability between heterogenous devices and applications by providing multiple protocol bindings as plug and play services. A survey on existing middleware solutions is conducted with a thorough analysis of the challenges and the enabling technologies in developing an IoT middleware. The experiments are conducted on a SDN managed IoT network testbed and the results show that the proposed middleware solution is suitable for both Cloud (resourceful) and Edge network devices (IoT Gateway, which is designed on a resource constrained single board computer) and provides interoperability between IoT devices and applications.iii

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A Novel Distributed SDN-Secured Architecture for the IoT

Cited by 18 publications

References 20 publications

Securing combined Fog-to-Cloud system Through SDN Approach

Securing combined Fog-to-Cloud system Through SDN Approach

An SDN approach to route massive data flows of sensor networks

An IoT Gateway Middleware for interoperability in SDN Managed Internet of Things

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