Bio: Malaserene I is an academic researcher from VIT University. The author has contributed to research in topic(s): Heterogeneous network & Wireless sensor network. The author has an hindex of 1, co-authored 1 publication(s) receiving 2 citation(s).
Topics: Heterogeneous network, Wireless sensor network, Intelligent transportation system, Home automation
••01 May 2019
TL;DR: The paper will aim to configure smart gateway systems with increased flexibility of configuration which can adapt to different application requirements such as in ,  and .
Abstract: IoT gateway acts as a connection between two different networks namely the sensor network and the traditional network which is why its role and significance is of much importance. The paper will aim to configure smart gateway systems with increased flexibility of configuration which can adapt to different application requirements such as in ,  and . It would also provide techniques to improve the overall functioning of the system by reducing the development cycle, costs, and difficulty and also provide more ease in new applications to be applied.With exponential rise in demand of internet of things (IoT)  , a surge in utilization of ubiquitous connectivity to combine different types of networks, which can be an ad-hoc network along with Zigbee, cable, wireless LAN and so on  There are many standard programs where the need of a smart gateway has been realized to increase the data rate, support end-to-end connectivity for applications like intelligent transportation, medical support, environmental monitoring, smart home, industry control etc. where the utilization of bandwidth of multi-hop networks is higher amongst the heterogeneous networks. This project proposes a singular easy to configure smart IoT gateway which comprises of three important advantages. Firstly, it has uniform user interface which is suitable for pliable software development. Secondly, the gateway consist of detachable architecture, where there can be customization for devices with extraordinary communication  methods and can also be attached in accordance with various network systems. Lastly, it provides flexibility by translating protocols to end number of sensor data accurately into a homogenous format which is better in comparison to earlier research.  The gateway provides enhanced flexibility, adaptability, and efficient cost cutting. The paper includes a scrupulous analysis of the data which would be acquired through multiple sensors and processes it in accordance to the requirement and its suitable application.
TL;DR: A holistic review of existing smart airport applications and services enabled by IoT sensors and systems is presented, and several types of cyber defence tools including AI and data mining techniques are investigated, and their strengths and weaknesses are analysed in the context of smart airports.
Abstract: Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence of smart airports. Services and systems powered by the IoT enable smart airports to have enhanced robustness, efficiency and control, governed by real-time monitoring and analytics. Smart sensors control the environmental conditions inside the airport, automate passenger-related actions and support airport security. However, these augmentations and automation introduce security threats to network systems of smart airports. Cyber-attackers demonstrated the susceptibility of IoT systems and networks to Advanced Persistent Threats (APT), due to hardware constraints, software flaws or IoT misconfigurations. With the increasing complexity of attacks, it is imperative to safeguard IoT networks of smart airports and ensure reliability of services, as cyber-attacks can have tremendous consequences such as disrupting networks, cancelling travel, or stealing sensitive information. There is a need to adopt and develop new Artificial Intelligence (AI)-enabled cyber-defence techniques for smart airports, which will address the challenges brought about by the incorporation of IoT systems to the airport business processes, and the constantly evolving nature of contemporary cyber-attacks. In this study, we present a holistic review of existing smart airport applications and services enabled by IoT sensors and systems. Additionally, we investigate several types of cyber defence tools including AI and data mining techniques, and analyse their strengths and weaknesses in the context of smart airports. Furthermore, we provide a classification of smart airport sub-systems based on their purpose and criticality and address cyber threats that can affect the security of smart airport’s networks.
21 Apr 2020
TL;DR: An industrial IoT architectural framework that allows data offloading between the cloud and the edge is proposed and an anomaly detection algorithm that exploits deep learning techniques to assess the working conditions of the plant is designed.
Abstract: The advent of IoTs has catalyzed the development of a variety of cyber-physical systems in which hundreds of sensor-actuator enabled devices (including industrial IoTs) cooperatively interact with the physical and human worlds. However, due to the large volume and heterogeneity of data generated by such systems and the stringent time requirements of industrial applications, the design of efficient frameworks to store, monitor and analyze the IoT data is quite challenging. This paper proposes an industrial IoT architectural framework that allows data offloading between the cloud and the edge. Specifically, we use this framework for telemetry of a set of heterogeneous sensors attached to a scale replica of an industrial assembly plant. We also design an anomaly detection algorithm that exploits deep learning techniques to assess the working conditions of the plant. Experimental results show that the proposed anomaly detector is able to detect 99% of the anomalies occurred in the industrial system demonstrating the feasibility of our approach.