TinySDN: Enabling Multiple Controllers for Software-Defined Wireless Sensor Networks

Oliveira, Bruno L.; Gabriel, Lucas Batista; Margi, Cintia Borges

doi:10.1109/tla.2015.7387950

Cited by 89 publications

(32 citation statements)

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“…By comparing their differences and similarities, OpenFlow-based SDN provides higher flexibility and control in terms of development, administration, and network management [3,9]. It is not surprised that OpenFlow-based SDN paradigm has been applied to a number of proposed SDWSN architecture [2,[10][11][12][13][14][15].…”

Section: ) Southbound Interface (Sbi)mentioning

confidence: 99%

“… Control traffic overhead: the secure channel can be only hosted with in-band management or out-of-band management in wired networks, whereas only in-band management is supported in wireless networks, leading to an overhead of both data and control traffic [2,10].…”

Section: ) Designing An Openflow-based Sdwsn Sbimentioning

confidence: 99%

“…Software-defined wireless sensor network architecture [2] Early research efforts in SDN-WSN integration have focused on defining a meaningful and effective architecture. They focus on different aspects of the architecture: SDN architecture for WSNs [20], multi-controller support [10], controller placement [11], and controller core functions [11]. Generally, following the OpenFlow-based SDN structure, SDWSN architecture is structured into three main planes: application, control and data planes [2,11,20] (Fig.…”

Section: Current Research On Sdwsnmentioning

confidence: 99%

“…The position of the controller significantly impacts the SDWSN performance in terms of energy consumption, scalability and reliability. Most of SDWSN architectures are proposed with both centralized [11,14,16,18,20] and distributed control plane [10,12,15,21,22]. The two approaches result in differences in position and function of the SDWSN controller and SDWSN nodes ( Table I).…”

Section: Current Research On Sdwsnmentioning

confidence: 99%

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Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Nguyen

Hoang

Chaczko

2016

2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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Abstract-Wireless sensor networks (WSNs) are essential elements of the Internet of Things ecosystem, as such, they encounter numerous IoT challenging architectural, management and application issues. These include inflexible control, manual configuration and management of sensor nodes, difficulty in an orchestration of resources, and virtualizing sensor network resources for on-demand applications and services. Addressing these issues presents a real challenge for WSNs and IoTs. By separating the network control plane from the data forwarding plane, Software-defined networking (SDN) has emerged as network technology that addresses similar problems of current switched-networks. Despite the differences between switched network and wireless sensor network domains, the SDN technology has a real potential to revolutionize WSNs/IoTs and address their challenging issues. However, very little has been attempted to bring the SDN paradigm to WSNs. This paper identifies weaknesses of existing research efforts that aims to bring the benefits of SDN to WSNs by mapping the control plane, the OpenFlow protocol, and the functionality between the two network domains. In particular, the paper investigates the difficulties and challenges in the development of software-defined wireless sensor networking (SDWSN). Finally, the paper proposes VSensor, SDIoT controller, SFlow components with specific and relevant functionality for an architecture of an SDWSN or SDIoT infrastructure.

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Section: ) Southbound Interface (Sbi)mentioning

confidence: 99%

Section: ) Designing An Openflow-based Sdwsn Sbimentioning

confidence: 99%

Section: Current Research On Sdwsnmentioning

confidence: 99%

Section: Current Research On Sdwsnmentioning

confidence: 99%

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Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Nguyen

Hoang

Chaczko

2016

2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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“…There are two main design possibilities: (i) adding support for an SDN-like protocol on top of MAC and network layers tailored to IoT (traditional approach), or (ii) integrate network control with current MAC and network layers (Whisper approach). The first option is the one on which SDN for IoT research is currently focusing [20,21,22]. We argue why this is not the only right way to go, and why integrating network control with medium access management and routing is inherently more promising.…”

Section: Introductionmentioning

confidence: 99%

Whisper: Programmable and Flexible Control on Industrial IoT Networks

Municio

Marquez-Barja

Latré

et al. 2018

Sensors

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Software Defined Networking (SDN) centralizes network control to improve network programmability and flexibility. Contrary to wired settings, it is unclear how to support SDN in low power and lossy networks like typical Internet of Things (IoT) ones. Challenges encompass providing reliable in-band connectivity between the centralized controller and out-of-range nodes, and coping with physical limitations of the highly resource-constrained IoT devices. In this work, we present Whisper, an enabler for SDN in low power and lossy networks. The centralized Whisper controller of a network remotely controls nodes’ forwarding and cell allocation. To do so, the controller sends carefully computed routing and scheduling messages that are fully compatible with the protocols run in the network. This mechanism ensures the best possible in-band connectivity between the controller and all network nodes, capitalizing on an interface which is already supported by network devices. Whisper’s internal algorithms further reduce the number of messages sent by the controller, to make the exerted control as lightweight as possible for the devices. Beyond detailing Whisper’s design, we discuss compelling use cases that Whisper unlocks, including rerouting around low-battery devices and providing runtime defense to jamming attacks. We also describe how to implement Whisper in current IoT open standards (RPL and 6TiSCH) without modifying IoT devices’ firmware. This shows that Whisper can implement an SDN-like control for distributed low power networks with no specific support for SDN, from legacy to next generation IoT devices. Our testbed experiments show that Whisper successfully controls the network in both the scheduling and routing plane, with significantly less overhead than other SDN-IoT solutions, no additional latency and no packet loss.

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Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet of Things

Cho

Ishfaq

et al. 2020

Modeling and Design of Secure Internet of Things

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As a solution to protect and defend a system against inside attacks, many intrusion detection systems (IDSs) have been developed to identify and react to them for protecting a system. However, the core idea of an IDS is a reactive mechanism in nature even though it detects intrusions which have already been in the system. Hence, the reactive mechanisms would be way behind and not effective for the actions taken by agile and smart attackers. Due to the inherent limitation of an IDS with the reactive nature, intrusion prevention systems (IPSs) have been developed to thwart potential attackers and/or mitigate the impact of the intrusions before they penetrate into the system. In this chapter, we introduce an integrated defense mechanism to achieve intrusion prevention in a software-defined Internetof-Things (IoT) network by leveraging the technologies of cyberdeception (i.e., a decoy system) and moving target defense, namely MTD (i.e., network topology shuffling). In addition, we validate their effectiveness and efficiency based on the devised graphical security model (GSM)-based evaluation framework. To develop an adaptive, proactive intrusion prevention mechanism, we employed fitness functions based on the genetic algorithm in order to identify an optimal network topology where a network topology can be shuffled based on the detected level of the system vulnerability. Our simulation results show that GA-based shuffling schemes outperform random shuffling schemes in terms of the number of attack paths toward decoy targets. In addition, we observe that there exists a tradeoff between the system lifetime (i.e., mean time to security failure) and the defense cost introduced by the proposed MTD technique for fixed and adaptive shuffling schemes. That is, a fixed GA-based shuffling can achieve higher MTTSF with more cost while an adaptive GA-based shuffling obtains less MTTSF with less cost. Introduction Research Goal & ContributionsThis work aims to propose an integrated proactive defense based on intrusion preventive mechanisms, such as cyberdeception and MTD techniques, to minimize the impact of potential attackers trying to penetrate into IoT systems via multiple entries. We make the following key contributions in this book chapter:  We developed an integrated proactive defense system by proposing an adaptive MTD technique by shuffling a network topology where a network consists of both decoy nodes and real nodes. As decoy nodes are the part of a decoy system,

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TinySDN: Enabling Multiple Controllers for Software-Defined Wireless Sensor Networks

Cited by 89 publications

References 0 publications

Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Whisper: Programmable and Flexible Control on Industrial IoT Networks

Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet of Things

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