Published May 4, 2024 | Version 1
Journal Open

COMPREHENSIVE EXPLORATION OF CLOUD AND EDGE COMPUTING SECURITY: DEFENSE MECHANISMS, ADAPTIVE ALGORITHMS, AND THREAT DETECTION STRATEGIES

  • 1. Department of computer science, National College(Autonomous), Trichy, Tamilnadu, India

Description

The exploration encompasses key concepts including cloud computing, edge computing, defense mechanisms, adaptive algorithms, attack detection, and overall security considerations.This survey provides a comprehensive examination of recent academic journals, offering insights into the dynamic landscape of cloud and edge computing security. Beginning with an overview of the current state of cloud computing, the survey highlights advancements in architecture, service models, and deployment strategies. It then transitions into the evolving realm of edge computing, emphasizing its decentralized nature and the resulting implications for security in distributed environments.A significant portion of the survey is dedicated to elucidating the latest developments in cloud defense mechanisms. Researchers are actively addressing vulnerabilities in cloud infrastructures, proposing innovative solutions such as encryption techniques, access controls, and anomaly detection. The synthesis of findings from multiple journals provides a comprehensive understanding of these defense mechanisms and their effectiveness in countering diverse cyber threats.Adaptive algorithms emerge as a crucial component in this survey, demonstrating their role in dynamically adjusting systems to evolving threats. The exploration extends to the latest adaptive algorithms designed to bolster the resilience of cloud and edge systems, enabling real-time responses to emerging threats. Moreover, the survey delves into attack detection mechanisms, examining challenges associated with identifying and mitigating cyber threats in cloud and edge environments. Signature-based, anomaly-based, and behavior-based detection techniques are discussed within the context of securing these infrastructures.

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Additional details

Identifiers

ISSN
2320-7345

Dates

Available
2024-04-04