Enhancing the Security and Performance of Cloud for E-Governance Infrastructure

Author:

Lamkuche Hemraj Shobharam1,Kondaveety Vijaya Bhaskar1,Sapparam Vijaya Lakshmi1,Singh Shruti1,Rajpurkar Raj Deepak1

Affiliation:

1. Symbiosis Centre for Information Technology, Symbiosis International University (Deemed), India

Abstract

E-Governance is getting momentous in India. Over the years, e-Governance has played a major part in every sphere of the economy. In this paper, we have proposed E-MODI (E-governance model for open distributed infrastructure) a centralized e-Governance system for government of India, the implementation of this system is technically based on open distributed infrastructure which comprises of various government bodies in one single centralized unit. Our proposed model identifies three different patterns of cloud computing which are DGC, SGC and CGC. In addition, readiness assessment of the services needs to migrate into cloud. In this paper, we propose energy efficient VM allocation algorithm to achieve higher energy efficiency in large scale cloud data centers when system on optimum mode. Our objectives have been explained in details and experiments were designed to demonstrate the robustness of the multi-layered security which is an integration of High secure lightweight block cipher CSL along with Ultra powerful BLAKE3 hashing function in order to maintain information security triad.

Publisher

IGI Global

Subject

General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distributed Denial of Service Attack Detection Using Sequence-To-Sequence LSTM;Communications in Computer and Information Science;2024

2. SAILFISH-I: A Lightweight Block Cipher for Cloud-Enabled Fog Devices;2022 IEEE 6th Conference on Information and Communication Technology (CICT);2022-11-18

3. A Comparative Study of Privacy-Preserving Homomorphic Encryption Techniques in Cloud Computing;International Journal of Cloud Applications and Computing;2022-09-30

4. Telecommunication Stocks Prediction Using Long Short-Term Memory Model Neural Network;Communications in Computer and Information Science;2022

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