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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Kumar, Sumita
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Computer Science & IT Engineering

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Attendance management system using face recognition Jadhav, Ashish; Kamble, Dhwaniket; Rathod, Santosh B.; Kumar, Sumita; Kadam, Pratima; Dalwai, Mohammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp673-679

Abstract

Traditional attendance systems consist of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is a key point in this system. We wanted to revolutionize the digital tools available in today's time i.e., facial recognition. This project has revolutionized to overcome the problems of the traditional system. Face recognition and marking the present is our project. A database of all students in the class is kept in single folder, and attendance is marked if each student's face matches with one of the stored faces. Otherwise, the face is ignored and not marked for attendance. In our project, face detection (machine learning) is used.
Internet of things and blockchain integration for security and privacy Kumar, Sumita; Vidhate, Amarsinh
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4037-4044

Abstract

The internet of things (IoT) can be defined as a network of intelligent objects where physical objects are equipped with electronic and network components to enable connectivity. These smart objects are embedded with sensors that enable them to monitor, sense, and gather data pertaining to their surroundings, including the environment and human activities. The applications of IoT, both existing and forthcoming, show great promise in terms of enhancing convenience, efficiency, and automation in our daily lives. However, for the widespread adoption and effective implementation of the IoT, addressing concerns related to security, authentication, privacy, and recovery from potential attacks is crucial. To achieve end-to-end security in IoT environments, it is imperative to define standard framework to achieve end to end security for the IoT applications. The blockchain is distributed ledge offers advantages such as confidentiality, authenticity, and availability. In this paper, we propose a novel framework to provide security and privacy for heterogeneous IoT architecture with integration of blockchain. The framework has provided an assessment framework to deploy, govern physical deployment. The proposed framework has defined standard architecture to integrate blockchain with layered IoT architecture with customization in blockchain with lightweight cryptography and consensus mechanism to overcome integration challenges and to achieve authenticity, security, and privacy.
Co-Authors Dalwai, Mohammad Jadhav, Ashish Kadam, Pratima Kamble, Dhwaniket Rathod, Santosh B. Vidhate, Amarsinh