In-network performance measurements for Software Defined Wireless Sensor Networks

Luz, Thamires C.; Nunez, Gustavo A.; Margi, Cintia Borges; Verdi, Fábio L.

doi:10.1109/icnsc.2019.8743237

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The sensor nodes were programmed to transmit one data packet every 30 seconds and one management packet every 2 minutes, both with payload of 10 bytes. The data packets contained the application information and the management packets contained the information required by the network management plane [12].…”

Section: Methodsmentioning

confidence: 99%

Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks

Segura

Chorti

Margi

2020

2020 IEEE Latin-American Conference on Communications (LATINCOM)

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Software-defined wireless sensor networks have attracted considerable attention in recent years as they simplify the network management and provide the framework to automate infrastructure sharing. On the other hand, the centralization and planes' separation can turn SDNs vulnerable to new types of denial of service attacks. Existing intrusion detection approaches are not in general suitable for restricted networks or do not achieve optimal detection rates. This work aims at fulfilling both requirements by using a new lightweight, multimetric, online change point detector to monitor performance metrics that are impacted when the network is under attack. There are two major novelties in the proposed detector referring to previous works: first, we move to a purely online detector, secondly, we monitor in parallel multiple metrics, increasing the detection vector space to different types of attack. Our tests show that intrusion detection monitoring control overhead and data packets delivery rate in a SDWSN results in enhanced detection rates over 96% in all topologies and levels of attacks. We finally show that with a high probability (exceeding 89% in all cases) it is possible to identify the "type" of the attack.

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Section: Methodsmentioning

confidence: 99%

Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks

Segura

Chorti

Margi

2020

2020 IEEE Latin-American Conference on Communications (LATINCOM)

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“…The NSec is able to inform to the CSec when an anomaly is detected through the communication protocol for management communication proposed in [Luz et al 2019]. This protocol has two packets: Request Packet and Monitoring Packet.…”

Section: Communicationmentioning

confidence: 99%

IDIT-SDN: Intrusion Detection Framework for Software-defined Wireless Sensor Networks

Segura

Chorti

Margi

2023

Anais Estendidos Do XLI Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2023)

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Software-Defined Networking has been used to leverage security solutions for wireless sensor networks. However, this paradigm turns networks vulnerable to distributed denial of service attacks. IDIT-SDN is a tool for Software-defined Wireless Sensor Networks devised for DoS and DDoS attacks simulation and detection. This tool provides a framework for anomaly detection and a communication protocol to share security wise information from the sensor network to the controller. We demonstrate its use by showing a cooperative DDoS attack detection and attacker identification application based on distributed (every node) and centralized (controller) anomaly detection.

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“…Control messages include the periodic topology reports by each sensor node and request and response messages for flow entries. Approximately, 200 topology report messages alone are sent every 10 minutes to the SDN controller [32]. The numbers of control messages over the simulation time is shown in Figure 9.…”

Section: Control Message Overheadmentioning

confidence: 99%

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

Asakipaam

Kponyo

Agyemang

et al. 2022

Int. j. commun. netw. inf. secur.

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Software-defined networking is a novel concept that is ported into wireless sensor networks to make them more manageable and customizable. unfortunately, the topology discovery and maintenance processes generate high overhead control packet exchange between the sensor nodes and the central controller leading to a deterioration of the network's performance. In this paper, a novel minimal overhead control traffic topology discovery and data forwarding protocol is proposed and detailed. The proposed protocol requires some changes to the topology discovery protocol implemented in SDN-WISE to improve its performance. The proposed protocol has been implemented within the IT-SDN framework for evaluation. The results show reduced overhead control traffic and increase, of about 20%, data packet delivery rate over the protocol in SDN-WISE.

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In-network performance measurements for Software Defined Wireless Sensor Networks

Cited by 8 publications

References 12 publications

Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks

Multimetric Online Intrusion Detection in Software-Defined Wireless Sensor Networks

IDIT-SDN: Intrusion Detection Framework for Software-defined Wireless Sensor Networks

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

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