Protocol Message Queuing Telemetry Transport Research Articles

IoT based security and privacy implementation in smart home

IoT based security and privacy implementation in smart home

Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the deployment of different one-class classifiers to prevent attacks over the Internet of Things (IoT) protocol Message Queuing Telemetry Transport (MQTT). The utilization of real data sets has allowed us to train the one-class algorithms, showing a remarkable performance in detecting attacks.

The MI-SDN System to Manage MQTT Data in an Interoperable IoT Wireless Network

The main challenge for the Internet of Things (IoT) is to ensure interoperability between heterogeneous IoT entities. To support the interaction, intercommunication, and interoperability between these devices several solutions are proposed in the literature. The SDN (Software-defined Network) is one of these solutions to resolve the problem of the heterogeneous network used in IoT. To guarantee network interoperability, the SDN uses a centralized controller, which handles the entire network. The role of end devices in IoT is only forwarding data. The MQTT (Message Queuing Telemetry Transport) protocol is another solution for granting interoperability in IoT. Which is a publish/subscribe based messaging protocol that avoids direct connection between devices by relaying data through a central server called the broker. Combination of these two solutions to manage IoT devices makes it easy to add new devices without touching or changing the existing infrastructure. The new devices only need to communicate with the broker. Moreover, the Controller SDN is responsible for handling networks. Consequently, smart devices added don’t need to be compatible with the others. In this paper, we present the design and the implementation of a new IoT architecture, which is a combination of SDN technology and MQTT protocol. That enables heterogeneous IoT devices to be interoperable and interact without any problems. Our system utilizes the lightweight protocol MQTT with a new mechanism using several slave brokers and one master. The slaves manage the group of the end devices in the wireless IoT network, and the master broker installed in the SDN controller supervises the integral network. The SDN controller uses a multicast system to send MQTTdata across the external wireless network. As a result, that reduces transmission delay between wireless IoT network compared with the using of a standard MQTT.

Monitoring Ruangan Berbasis Internet of Things Menggunakan Thingsboard dan Blynk

<p><em>Technology designed to facilitate humans in a variety of work. A very popular technology today is the Internet of Things. The application of Internet of Things technology is widely used in various fields at present. One was used to monitor the room. The methodology used in this study is a Hardware Development Life Cycle (HDLC). The results of this research that the device can transmit ambient conditions via the Internet of Things with protocol Message Queuing Telemetry Transport (MQTT). In this study, Raspberry Pi serves as an intermediary between the media data is read by the sensor is then stored on the application Thingsboard. In addition the application Blynk used as a medium for monitoring the device remotely.</em></p>

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

A smart grid is an electricity network, which deals with electronic power conditioning and control of production, transmission, and distribution of electrical power by employing digital communication technologies to monitor and manage local changes in electricity usage. In the traditional power grid, energy consumers remain oblivious to their power consumption patterns, resulting in wasted energy as well as money. This issue is severely pronounced in the developing countries where there is a huge gap between demand and supply, resulting in frequent power outages and load-shedding. For electrical energy savings, the smart grid employs demand side management (DSM), which refers to adaptation in consumer's demand for energy through various approaches such as financial incentives and awareness. The DSM in future smart grid must exploit automated energy management systems (EMS) built upon the state-of-the-art technologies such as the internet of things (IoT) and cloud and/or fog computing. In this paper, we present the architecture framework, design, and implementation of an IoT and cloud computing-based EMS, which generates load profile of consumer to be accessed remotely by utility company or by the consumer. The consumers' load profiles enable utility companies to regulate and disseminate their incentives and incite the consumers to adapt their energy consumption. Our designed EMS is implemented on a Project Circuit Board (PCB) to be easily installed at the consumer premises where it performs the following tasks: (a) monitors energy consumption of electrical appliances by means of our designed current and voltage sensors, (b) uploads sensed data to Google Firebase cloud over many-to-many IoT communication protocol Message Queuing Telemetry Transport (MQTT) where consumer's load profile is generated, which can be accessed via a web portal. These load profiles serve as input for implementing the various DSM approaches. Our results demonstrate generated load profiles of consumer load in terms of current, voltage, energy, and power accessible via a web portal.

Software Defined Internet of Things using lightweight protocol

Abstract The upsurge in the Internet of Things (IoT) has led towards an increasing interest in simplifying the control mechanism in the wireless network. The control mechanism is a challenge as it involves data acquisition and analysis, decision making, and actuation/control in IoT networks. This has led towards combining Software Defined Networks (SDN) and IoT for easy of controlling the network devices. The mobile application available at the tip of hands to control the connected devices to the internet has led to exponential growth in data. The management and handling the data intensive applications is a challenge to the network operators. SDN is a paradigm shift that enables network programmability, control, and management of diverse networking devices. This paper describes the data transmission in SDN and integration of SDN and IoT. The light weight protocol Message Queue Telemetry Transport (MQTT) is used for data transmission between the IoT devices. The result analysis shows that the light weight protocol MQTT is 30% efficient for data transmission in SDN IoT architecture. The testbed for integrating virtual network in SDN and real-time network for IoT applications using lightweight protocol is described.

WoT Communication Protocol Security and Privacy Issues

In this paper, we have proposed a novel approach for the prevention of the Internet of Things (IoT) from fake devices and highlighted privacy issues by using third party Application Program Interface (RestAPI) in Web of Things (WoT). For the ease of life, the usage of IoT devices, sensors, and Radio-Frequency Identifications (RFIDs) increased rapidly. Such as in transport for monitoring vehicles, taxi services, healthcare for patient’s health condition monitoring, smart cars, smart grids, and smart homes, etc. Due to this for financial gain attackers are targeting these networks or protocol and adversaries are trying to damage the reputation of the organization or to steal intellectual property. From the last two decades or more, the injection vulnerabilities are more threatening security risks for the web application still exists. The new security challenges occur for the security professional or security researchers in the form of IoT or WoT (Web of Things) communication protocols implementation. These protocol Message Queuing Telemetry Transport (MQTT), Constrained Application Protocol (CoAP), WebSockets, and RestAPI have a different type of security issues. Respectively insertion of fake devices, authentication is not implemented in WebSocket connections, and user’s privacy can be leaked with the use of RestAPI without its validation. We have developed a program in Personal Home Pages (PHP) for the detection of new devices in the IoT network. With this, the user’s privacy and data will be protected along with some critical security issues of WoT underlying protocols.

Contextualization using Context-Aware Publish and Subscribe (CAPS) based on IoT

The Internet of Things (IoT) activates massive data flow in the real world. Each computer can presently be linked to the internet and supply useful decision-making information. Virtually sensors are implemented in every aspect of life. From different sources of sensors can produce raw data. Due to the various data sources, the method of extracting information from the flow of data is mostly complicated, networks inadequate and criteria for real-time processing. In addition, an issue of context-aware data processing and architecture also present, despite the fact that they are essential criteria for stronger IoT structure. In order to meet this issue, we recommend a Context-aware Internet of Things Middleware (CAIM) architecture. This enables the incorporation of highly diverse IoT application context information by using light weigh protocol MQTT (Message Queue Telemetry Transport) for transmitting basic data streams from sensors to middleware and applications. In this paper, we propose a contextualization which means that obtain data from sensors of different sources. First have to create a context profile with the help of context type like user, activity, physical, and environment context. Then also is create a profile by using attributes. Finally, raw data can be change into contextualized data through CAPS (context-aware Publish-Subscribe) hybrid approach. This paper discusses the current context analysis strategies that use either rational models or probabilistic methods exclusively. The evaluation of identifying contextualization methods shows the shortcomings of IoT sensor data processing as well as offers alternative ways of identifying the context

Power consumption analysis on an IoT network based on wemos: a case study

On Internet of Things network (IoT), connections established among every device that connected to the Internet. An IoT uses different communication method instead to that, the Internet uses. Internet of Things (IoT) applications, use a light weight protocol Message Queue Telemetry Transport (MQTT). In this article an Internet of Things (IoT) system is presented, an advanced solution of monitoring the temperature and luminosity at different locations in a data centre of MQTT Server, measuring power consumption in 2 types of time of capturing data (every 0,5 min and every 1 min) making temperature and luminosity data visible over internet through cloud based dashboard. The quality of service (QoS) in some application is very crucial because the data collection is essential. This research focus on QoS in terms of power consumption as well as the battery life of the system. The results show that the battery life span is proportional to the QoS and the longevity of the battery and respectively the IoT network life depends on it.

Measuring Performances of a White-Box Approach in the IoT Context

The internet of things (IoT) refers to all the smart objects that are connected to other objects, devices or servers and that are able to collect and share data, in order to “learn” and improve their functionalities. Smart objects suffer from lack of memory and computational power, since they are usually lightweight. Moreover, their security is weakened by the fact that smart objects can be placed in unprotected environments, where adversaries are able to play with the symmetric-key algorithm used and the device on which the cryptographic operations are executed. In this paper, we focus on a family of white-box symmetric ciphers substitution–permutation network (SPN)box, extending and improving our previous paper on the topic presented at WIDECOM2019. We highlight the importance of white-box cryptography in the IoT context, but also the need to have a fast black-box implementation (server-side) of the cipher. We show that, modifying an internal layer of SPNbox, we are able to increase the key length and to improve the performance of the implementation. We measure these improvements (a) on 32/64-bit architectures and (b) in the IoT context by encrypting/decrypting 10,000 payloads of lightweight messaging protocol Message Queuing Telemetry Transport (MQTT).