SRM University

About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.

Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

Abstract: Hospital data management is one of the functional parts of operations to store and access healthcare data. Nowadays, protecting these from hacking is one of the most difficult tasks in the healthcare system. As the user’s data collected in the field of healthcare is very sensitive, adequate security measures have to be taken in this field to protect the networks. To maintain security, an effective encryption technology must be utilised. This paper focuses on implementing the elliptic curve cryptography (ECC) technique, a lightweight authentication approach to share the data effectively. Many researches are in place to share the data wirelessly, among which this work uses Electronic Medical Card (EMC) to store the healthcare data. The work discusses two important data security issues: data authentication and data confidentiality. To ensure data authentication, the proposed system employs a secure mechanism to encrypt and decrypt the data with a 512-bit key. Data confidentiality is ensured by using the Blockchain ledger technique which allows ethical users to access the data. Finally, the encrypted data is stored on the edge device. The edge computing technology is used to store the medical reports within the edge network to access the data in a very fast manner. An authenticated user can decrypt the data and process the data at optimum speed. After processing, the updated data is stored in the Blockchain and in the cloud server. This proposed method ensures secure maintenance and efficient retrieval of medical data and reports.

In vitro toxicity, apoptosis and antimicrobial effects of phyto-mediated copper oxide nanoparticles

Abstract: Herein, copper oxide nanoparticles (CuONPs) are proposed for widespread use in emerging biomedical applications. The aim of this study is to synthesize and characterize CuONPs using the aqueous dried fruit extract of Tribulus terrestris and assess their potential in vitro cytotoxicity and antibacterial activity. The CuONPs bio-physical and morphological properties are characterized via different analytical techniques. The synthesized particles are highly stable and spherical with particle sizes in the range of 5–22 nm. Confocal microscopy reveals that ROS generation is the potent mechanism behind the role of CuONPs mediated antimicrobial toxicity. In addition, MTT and apoptotic analyses illustrate that the CuONPs are relatively cytofriendly toward human mesenchymal stem cells and also exhibit anti-cancer activity on human adenocarcinoma AGS cell lines. These results clearly indicate that the prepared copper oxide nanoparticles are safe and their application can be expanded as effectual antimicrobial and anticancer agents for pharmaceutical applications.

Smart water grid management using LPWAN IoT technology

Abstract: As the world population increases at a steady rate, providing clean water to the masses in an efficient manner is one of the biggest challenges faced in the modern era. Controlling the flow of water so that it doesn't go to waste is another challenge. Water flow is generally managed through locks and manually controlling these gates often turn out to be a long-winding process. Due to recent technological progress and increased connectivity in rural areas, a system of IoT devices proved to be alternative for managing the water grid. A new Low Power Wide Area Network (LPWAN) technology called LoRa is explored in our study for the communication of these IoT devices. The LoRa devices can communicate within a range of 2–4 KMs while running on batteries that last for years. As a pilot project, we implemented a smart water grid management system in Mori, a village in the eastern Godavari district in Andhra Pradesh situated near to Bay of Bengal. The water grid management system proposed in this paper involves different sensors deployed at various strategically chosen locations to measure the quality of water by generating real time data. The system also provides an alert mechanism which notifies the different level of authorities through email and SMS in case of any issues. Furthermore, it provides a solution for handling the locks that have been employed in and around the village to control the flow of water in a timely manner. The sensors attached with a micro controller in the LoRa module will communicate to the cloud environment through the LoRa gateway. A web page provides the interface to the residents and to the authorities to gauge the water quality after analyzing the data using the prediction algorithm.