Welcome to IOTCB 2024

3rd International Conference on IOT, Cloud and Big Data (IOTCB 2024)

July 13 ~ 14, 2024, Virtual Conference

Accepted Papers
Security Concerns in IOT Light Bulbs: Investigating Covert Channels

Janvi Panwar Ravisha Rohilla


The proliferation of Internet of Things (IoT) devices has raised significant concerns regarding their security vulnerabilities. This paper explores the security risks associated with smart light systems, focusing on covert communication channels. Drawing upon previous research highlighting vulnerabilities in communication protocols and encryption flaws, the study investigates the potential for exploiting smart light systems for covert data transmission. Specifically, the paper replicates and analyzes an attack method introduced by Ronen and Shamir, which utilizes the Philips Hue White lighting system to create a covert channel through visible light communication (VLC). Experimental results demonstrate the feasibility of transmitting data covertly through subtle variations in brightness levels, leveraging the inherent functionality of smart light bulbs. Despite limitations imposed by device constraints and communication protocols, the study underscores the need for heightened awareness and security measures in IoT environments. Ultimately, the findings emphasize the importance of implementing robust security practices and exercising caution when deploying networked IoT devices in sensitive environments.

Internet of Things: Domesticated Toolsets for Solving Major Challenges Faced by Individuals With Health Problems

Tunbosun Oyewale Oladoyinbo1 and Isiaka Akinkunmi Adeyemo2, 1University of Maryland Global Campus, Maryland, United States of America, 2Ladoke Akintola University of Technology, Ogbomoso Oyo State, Nigeri


In this modern era of globalization, technology has increasingly infiltrated all aspects of human life. Health is no exception to this advance. Provision of health services has undergone evolution to reach the current status. However, many people, especially in developing countries, do not enjoy optimum health services due to several constraints. This is where technology continues to grow and be beneficial for all strata of society. From the direct provision of health services, technology can also help to prevent, optimize diagnosis, and treatment of diseases. One of the latest breakthroughs in health service provision is the integration of the Internet of Things (IoT). Utilization of IoT is expected to bring a radical change to the provision of health services. This is in line with the principle approach of preventive, predictive, and personalized that so far has not been applied optimally due to limitations and constraints of health resources.


Globalization, internet of things, health, quality of life, chronic conditions, companion devices, wearable devices.

Forecasting Network Capacity for Global Enterprise Backbone Networks using Machine Learning Techniques

Kapil Patil and Bhavin Desai


This paper presents a machine learning approach to forecasting network capacity for global enterpriselevel backbone networks. By leveraging historical traffic data, we develop a predictive model that accurately forecasts future demands. The effectiveness of our approach is validated through rigorous testing against established benchmarks, demonstrating significant improvements in forecasting accuracy.


Network capacity forecasting, Machine learning, Time series forecasting, ARIMA, Predictive modelling & Capacity Planning.