CoAP vs. MQTT-SN: Comparison and Performance Evaluation in Publish-Subscribe Environments

Palmese, Fabio; Longo, Edoardo; Redondi, Alessandro E. C.; Cesana, Matteo

doi:10.1109/wf-iot51360.2021.9595725

Cited by 10 publications

(10 citation statements)

References 11 publications

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“…The data are usually managed in the form of PCAP files and require a consistent post-processing phase for the information extraction, which makes forensic analysis usually very timeconsuming. This work extends our previous study presented in [2], presenting more advanced results and extending the proposed framework functionalities. The work takes the goal of solving the main limitations of PCAP-based forensic analysis by proposing a framework, named Feature-Sniffer, to be installed in the smart home gateways and that can directly collect the main network traffic characteristics from IoT devices, avoiding splitting the pipeline into two separate phases of collection and feature extraction.…”

supporting

confidence: 79%

“…The Feature-Sniffer user interface is an add-on built on top of LuCI functionalities. 2 LuCI is the standard Web user interface for OpenWrt systems. It is based on the Lua programming language, which easily allows the creation of customized extensions.…”

Section: Web Interfacementioning

confidence: 99%

“…Figs. 6 and 7 report the CPU utilization for the two access points when using a time window in the set [1,2,5,8,10] seconds to model the data set. Also in this case, we set a configuration with all the available features enabled and tune the iperf3 client to generate traffic at a rate of 200 packets/s, additionally to the traffic produced by IoT devices in the network.…”

Section: ) Impact On Access Point Resourcesmentioning

confidence: 99%

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Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things

Palmese,

Redondi,

Cesana

2023

IEEE Internet Things J.

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Recent advances in the Internet of Things are leading to a proliferation of smart devices in our daily life. Having so many connected devices around us potentially introduces new witnesses that can be a reference for forensic investigations. For these reasons, IoT Forensics has become a popular research area with the goal of extracting information from IoT devices to be used as potential evidence. This work presents Feature-Sniffer, a framework to be installed in Wi-Fi access points with the aim of facilitating the extraction of network traffic information from IoT devices, to be later used for forensic purposes. The tool allows the on-the-fly computation of traffic features from connected IoT devices by using a simple user interface for its configuration. After presenting the tool logic and its implementation details, we present an accurate analysis of the tool computational impact on two different consumer Wi-Fi access points. Finally, we present four different IoT forensics use cases, in which network traffic features extracted with the proposed tool from consumer IoT devices are analyzed with machine learning techniques with the goal of 1) identifying the device producing the traffic; 2) recognizing the activity performed by the user; 3) detecting the user's passage through a room door; and 4) detecting and classifying user interactions with a smart speaker. We conclude the work by presenting an analysis of possible storage optimization for evidence preservation with the use of lossy compression techniques.

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supporting

confidence: 79%

Section: Web Interfacementioning

confidence: 99%

Section: ) Impact On Access Point Resourcesmentioning

confidence: 99%

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Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things

Palmese,

Redondi,

Cesana

2023

IEEE Internet Things J.

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“…In [24], MQTT and CoAP protocols were evaluated theoretically and practically by Palmese et al Another form of MQTT, which is MQTT-SN, works according to the Publish/Subscribe communication scheme. Consequently, some changes were made to CoAP to follow the same communication scheme as MQTT-SN to compare them fairly.…”

Section: Related Workmentioning

confidence: 99%

DDS-XRCE Standard Performance Evaluation of Different Communication Scenarios in IoT Technologies

Solpan

Küçük

2022

EAI Endorsed Trans IoT

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Although the increasing number of technological products brings many solutions for Internet of Things (IoT) applications, it also causes some drawbacks, such as whether the product in question would run accordingly to a system structured to enable high-performance like Data Distribution Service (DDS). Therefore, the capabilities of the products must be defined to say that they are compatible enough. This paper aims to evaluate the performance of the DDS-XRCE standard while observing its working mechanism. As test scenarios, we benefit from three DDS-XRCE deployments that occurred due to the kind of receiver and sender, the path that packets follow, and the protocols used. Test conditions were set by switching stream modes, transport profiles, and limiting packet deliveries. We obtained the test environment by creating the DDS and DDS-XRCE objects using several eProsima implementations and tools for the standards. We monitored the network messages in two ways: 1) Using multiple Gnome Terminator terminals for observation via the human eye during testing. 2) Using Wireshark to save the information of the packets for further examination. We conducted 36 experiments focusing on latency, throughput, and packet loss. As a result of our study, the DDS-XRCE standard is deemed suitable for Internet of Things applications.

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“…In this thesis we address the limited performance of passive network latency monitoring solutions on general-purpose commodity hardware. Generalpurpose hardware running Linux is currently used for a wide range of tasks in the network, such as queue management and traffic shaping [42][43][44], network caching [45,46], routing [47][48][49], firewalls and network intrusion detection [50][51][52], Tor relay nodes [53], load balancing [54], and network function virtualization (NFV) [55,56]. Due to the ubiquity of network devices running Linux, enabling network latency monitoring on such devices is an important step towards realizing the pervasive network latency monitoring required to gain a more complete picture of network latency on the Internet.…”

Section: Introductionmentioning

confidence: 99%

Towards Ubiquitous and Continuous Network Latency Monitoring

Sundberg

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The Internet plays an important role in modern society, and its network performance impacts billions of users every day. For many network applications, network latency has a large impact on the quality of experience for the end user. Due to a lack of extensive network latency monitoring, the observability of network latency in real networks is often limited. This poses a problem for understanding network latency on the Internet today, and for assessing the impact various solutions that aim to reduce network latency have once they are deployed in the wild. This thesis addresses shortcomings with current solutions for monitoring network latency, in particular the performance of passive monitoring solutions on general-purpose commodity hardware, aiming to enable more ubiquitous latency monitoring and ultimately provide a comprehensive view of real-world network latency. We utilize the recently emerging eBPF technology to implement passive network latency monitoring inside the Linux kernel. Through experiments on a testbed, we show that our solution can monitor packets at over an order of magnitude higher rates than comparable previous solutions, allowing it to successfully monitor the latency for multi-gigabit traffic on general-purpose commodity hardware. Additionally, we demonstrate the feasibility of continuously monitoring network latency by deploying our solution inside an Internet Service Provider and monitoring the network latency for all customer traffic. Through an extensive analysis of the collected latency data, we show large differences in how network latency is distributed across different parts of the network.

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CoAP vs. MQTT-SN: Comparison and Performance Evaluation in Publish-Subscribe Environments

Cited by 10 publications

References 11 publications

Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things

Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things

DDS-XRCE Standard Performance Evaluation of Different Communication Scenarios in IoT Technologies

Towards Ubiquitous and Continuous Network Latency Monitoring

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