Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Haripriya, A.; Kulothungan, K.

doi:10.1186/s13638-019-1402-8

Cited by 63 publications

(13 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In comparising with simular works, our approach demonstrates the better results in DoS attack detection for some indicators (optimal time interval and classification method). For instance, in our research F1-score value reached the value of 0.98 whereas the results of [27] shows only 0.90 and research results of [28] being equal to 0.95.…”

Section: Results and Analysiscontrasting

confidence: 58%

DoS attacks detection in MQTT networks

Dikii

Arustamov

Grishentsev

2021

IJEECS

View full text Add to dashboard Cite

<span>The paper considers the problem of protecting the Internet of things infrastructure against denial-of-service (DoS) attacks at the application level. The authors considered parameters that affect the network gateway workload: message frequency, payload size, number of recipients and some others. We proposed a modular structure of the attack detection tool presented by three classifiers that use the following attributes: username, device ID, and IP-address. The following types of classifiers have been the objects for the research: multilayer perceptron, random forest algorithm, and modifications of the support vector machine. Some scenarios for the behavior of network devices have been simulated. It was proved that for the proposed feature vector on simulated training and test data sets, the best results have been shown by a multilayer perceptron and a support vector machine with a radial basis function of the kernel and optimization with SMO algorithm. The authors also determined the conditions under which the selected classifiers have the best quality of recognizing abnormal and legitimate traffic in MQTT networks. </span>

show abstract

Section: Results and Analysiscontrasting

confidence: 58%

DoS attacks detection in MQTT networks

Dikii

Arustamov

Grishentsev

2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…Haripriya et al. [15] presented Secure‐MQTT, a lightweight fuzzy logic‐based intrusion detection technique for detecting malicious activities during IoT device communication. With the use of a fuzzy rule interpolation mechanism, the suggested solution employs a fuzzy logic‐based system to identify the node's harmful activity.…”

Section: Related Workmentioning

confidence: 99%

An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure

Qaddoori

Ali

2022

IET Information Security

View full text Add to dashboard Cite

With the widespread adoption of smart metres in the power sector, anomaly detection has become a critical tool for analysing customers' unusual consumption patterns and network traffic. Detecting anomalies in power consumption and communication is primarily a real-time big data analytics issue regarding data mining along with a vast number of parallel streaming data from smart metres. In this study, an embedded Intrusion Detection and Prevention System (IDPS) is proposed as a Wifi-based smart metre for Home Area Networks (HANs) in the Advanced Metering Infrastructure (AMI) network. So, the proposed system employs one machine learning model based on IDPS to guard the HAN network from various attacks that utilise the Message Queueing Telemetry Transport protocol between the smart metre and IoT sensors. Also, it uses two machine learning models to detect the abnormality in periodic and daily data metering respectively. So, multiple algorithms have been used to find the suitable algorithm for each of the three anomaly detection models. These models have been evaluated and tested using real data sets regarding resources usage and detection performance to demonstrate the efficiency and effectiveness of using machine learning algorithms in the built anomaly detection models. The experiments show that the anomaly detection models performed well for various abnormalities.

show abstract

“…Haripriya A. P et.al. [2] introduced the MQTT-based IoT framework which implement a lightweight, fuzzy logic-based intrusion detection scheme called Secure-MQTT. The framework developed provides a significant method to secure low-configuration devices.…”

Section: Literature Surveymentioning

confidence: 99%

Security exploration of MQTT protocol in Internet of Things

Hc¹

2020

IJATCSE

View full text Add to dashboard Cite

Internet of Things (IoT) connects sensing devices and physical object/things to the internet for the purpose of exchanging information. Things have become smarter than it was before. IoT enables user to communicate and control smart objects to rescue information that is essential. Massive quantities of data will be generated and exchanged which in turn help in making decisions. However, security and privacy is important while exchanging data from anywhere and at anytime. IoT application protocols based on middleware play a key role in order to facilitate two-way communication and remote control of the IoT devices. Message Queuing Telemetry Transport Protocol (MQTT) is widely used lightweight messaging protocol in IoT. This paper describes security analysis and issues in MQTT protocol by considering different attacking Scenarios.

show abstract

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Cited by 63 publications

References 23 publications

DoS attacks detection in MQTT networks

DoS attacks detection in MQTT networks

An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure

Security exploration of MQTT protocol in Internet of Things

Contact Info

Product

Resources

About