A Survey on Mutual Authentication and Key Agreement Scheme Combined with Migration Model For Peer to Peer Cloud

Abstract

The demand for efficient and secure data exchange in Peer-to-Peer (P2P) cloud environments, this survey paper meticulously investigates the landscape of mutual authentication and key agreement schemes complemented by migration models. The seamless integration of these two essential components plays a pivotal role in fortifying the security infrastructure of P2P cloud systems. Our survey begins by providing an overview of the challenges and vulnerabilities associated with conventional P2P cloud architectures. Subsequently, delves into the diverse array of mutual authentication mechanisms, scrutinizing their strengths and weaknesses in the context of peer communication. Emphasis is placed on evaluating the adaptability of these schemes to dynamic P2P cloud environments, where nodes may frequently join or depart. In tandem with mutual authentication, the paper comprehensively explores key agreement schemes vital for establishing secure communication channels among peers. This scrutinizes various cryptographic protocols and algorithms, assessing their applicability in the P2P cloud paradigm. Furthermore, the survey investigates the efficacy of these key agreement schemes in ensuring confidentiality, integrity, and authenticity. A distinctive feature of this survey is its in-depth analysis of migration models integrated with mutual authentication and key agreement schemes. P2P cloud systems are inherently dynamic, necessitating the seamless movement of data and processes between peers. It examines migration strategies and their impact on security protocols, ensuring a holistic understanding of the intricate relationship between migration models and authentication mechanisms. The survey concludes by synthesizing the key findings, identifying current challenges, and proposing potential avenues for future research. By providing a comprehensive analysis of mutual authentication, key agreement schemes, and migration models, this survey aims to serve as a valuable resource for researchers, practitioners, and policymakers involved in enhancing the security and efficiency of P2P cloud environments

Authors and Affiliations

M. Kohila1 , Dr. S. Rethinavalli2

Keywords

Related Articles

A Review of Oil Spills on Marine Life and Associated Wildlife

Oil is an ancient fossil fuel used to power sectors like heat and electricity production. A wide range of fuels in automobiles and lubricants for mechanical machines have a significant role in our economy. Oil spills occ...

Time Management and Academic Achievement of Under Graduate Students

Time management is an important thing in human life because it is only a things in human life which cannot change by the human. Good time management leads to improved efficiency and productivity, less stress, and more su...

Anticancer Properties and Cytotoxic Effects of Agasthiyar Hills Medicinal Herb Vernonia cinerea

Vernonia cinerea, an indigenous medicinal plant in Agasthiyar Hills, exhibits potent anticancer properties and cytotoxic effects. Research has revealed its ability to prevent the proliferation of cancer cells through sev...

Anti-Malware System Using Machine Learning Language

In today's interconnected digital landscape, the proliferation of malicious software, or malware, poses a grave threat to the security and integrity of computer systems and data. To combat this ever-evolving menace, ther...

Influence of Identity Crisis on Fear of Missing Out Among College Students

The current research endeavored to experimentally explore the correlation between identity achievement, identity moratorium, identity foreclosure, identity diffusion, and Fear of Missing Out (FOMO).The participants of th...

Download PDF file
  • EP ID EP737953
  • DOI 10.62226/ijarst20241326
  • Views 8
  • Downloads 0

How To Cite

M. Kohila1, Dr. S. Rethinavalli2 (2024). A Survey on Mutual Authentication and Key Agreement Scheme Combined with Migration Model For Peer to Peer Cloud. International Journal of Advanced Research in Science and Technology (IJARST), 13(3), -. https://europub.co.uk/articles/-A-737953