Enhancing Security in Mobile Cloud Computing: An Analysis of Authentication Protocols and Innovation
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 2
Abstract
Introduction/Importance of Study: Cloud computing is a model facilitating ubiquitous, convenient, and on-demand network access to a shared pool of computing resources, offering flexibility, reliability, and scalability . Objective: This study investigates authentication mechanisms in Mobile Cloud Computing (MCC) to enhance security and address emerging challenges. Novelty statement: Our research contributes novel insights into authentication protocols in MCC, offering solutions to security issues not previously addressed. Material and Method: The study analyzed various authentication mechanisms in MCC using NIST evaluation criteria, considering their alignment with security needs and resource constraints. Result and Discussion: Our findings underscore the importance of selecting authentication mechanisms that balance security and performance in MCC environments, highlighting the need for ongoing innovation in security measures. Concluding Remarks: The study emphasizes the significance of robust authentication protocols tailored to MCC's unique security requirements for ensuring data integrity and privacy.
Authors and Affiliations
Amna Shahzadi, Kashif Ishaq, Naeem A. Nawaz, Ghulam Mustafa, Fawad Ali Khan
Keywords
Related Articles
- EP ID EP760314
- DOI -
- Views 13
- Downloads 0
Machine Learning for Detecting Social Media Addiction Patterns: Analyzing User Behavior and Mental Health Data
In the modern world, communication through social networks has become the norm, and people have started to worry about the possible addictive properties of social networks and their influence on mental states. This res...
A Demographic Fuzzy Similarity ComputationMethod for Recommender Systems
In this allegedly never-ending stream of e-commerce, it is crucial to offer high-quality suggestions so that consumers can choose wisely from a wide range of picks. Recommender Systems (RS) has proven to be an essentia...
Enhanced Emotion Recognition on the FER-2013 Dataset by Training VGG from Scratch
Recognizing facial emotions is still a major obstacle in computer vision, particularly when dealing with complex datasets such as FER-2013. Advancements in deep learning have simplified the process of achieving high ac...
Enhancing Cardiovascular Disease Risk Prediction Using Resampling and Machine Learning
Cardiovascular Disease (CVD) remains a critical health concern around the globe, requiring precise risk prediction approaches for timely intervention. The primary motive of this study is to enhance CVD risk prediction...
https://journal.50sea.com/index.php/IJIST/article/view/1078/1629
The cryptocurrency market has evolved in unprecedented ways over the past decade. However, due to the high price volatility associated with cryptocurrencies, predicting their prices remains an attractive research topic...