Md Masuduzzaman

Md Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam et al.

Integrating renewable energy sources into the power grid is becoming increasingly important as the world moves towards a more sustainable energy future in line with SDG 7. However, the intermittent nature of renewable energy sources can make it challenging to manage the power grid and ensure a stable supply of electricity, which is crucial for achieving SDG 9. In this paper, we propose a deep learning model for predicting energy demand in a smart power grid, which can improve the integration of renewable energy sources by providing accurate predictions of energy demand. Our approach aligns with SDG 13 on climate action, enabling more efficient management of renewable energy resources. We use long short-term memory networks, well-suited for time series data, to capture complex patterns and dependencies in energy demand data. The proposed approach is evaluated using four historical short-term energy demand data datasets from different energy distribution companies, including American Electric Power, Commonwealth Edison, Dayton Power and Light, and Pennsylvania-New Jersey-Maryland Interconnection. The proposed model is compared with three other state-of-the-art forecasting algorithms: Facebook Prophet, Support Vector Regression, and Random Forest Regression. The experimental results show that the proposed REDf model can accurately predict energy demand with a mean absolute error of 1.4%, indicating its potential to enhance the stability and efficiency of the power grid and contribute to achieving SDGs 7, 9, and 13. The proposed model also has the potential to manage the integration of renewable energy sources effectively.

Kazi Sadia, Md. Masuduzzaman, Rajib Kumar Paul et al.

Voting is a very important issue which can be beneficial in term of choosing the right leader in an election. A good leader can bring prosperity to a country and also can lead the country in the right direction every time. However, elections are surrounds with ballot forgery, coercion and multiple voting issues. Moreover, while giving votes, a person has to wait in a long queue and it is a very time consuming process. Blockchain is a distributed database in which data are shared with the participant of the node and each participant holds the same copy of the data. Blockchain has properties like distributed, pseudonymous, data integrity etc. In the paper, a fully decentralized evoting system based on blockchain technology is proposed. This protocol utilizes smart contract into the evoting system to deal with security issues, accuracy and voters privacy during the vote. The protocol results in a transparent, non editable and independently verifiable procedure that discards all the intended fraudulent activities occurring during the election process by removing the least participation of the third party and enabling voters right during the election. Both transparency and coercion are obtained at the same time.

Md Masuduzzaman, Ashik Mahmud, Anik Islam et al.

With the advancement of technology, devices, which are considered non-traditional in terms of internet capabilities, are now being embedded in microprocessors to communicate and these devices are known as IoT devices. This technology has enabled household devices to have the ability to communicate with the internet and a network comprising of such device can create a home IoT network. Such IoT devices are resource constrained and lack high-level security protocols. Thus, security becomes a major issue for such network systems. One way to secure the networks is through reliable authentication protocols and data transfer mechanism. As the household devices are controllable by the users remotely, they are accessed over the internet. Therefore, there should also be a method to make the communication over the internet between IoT devices and the users more secured. This paper proposes a two-phase authentication protocol for authentication purposes and a VPN based secure channel creation for the communication of the devices in the network. Furthermore, the paper discusses the Elliptic Curve Cryptography as a viable alternative to RSA for a more efficient Key exchange mechanism for low-powered IoT devices in the network.