Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy

Chuka-Maduji, Nnamdi; Anu, Vaibhav

doi:10.1007/s42979-021-00732-3

Cited by 6 publications

(2 citation statements)

References 27 publications

(58 reference statements)

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“…One of the primary reasons for conducting this research is to enhance user awareness and reduce human error. Human errors are among the most common reasons for security breaches in cloud-based environments [24]. Cloud computing is enriched with technical measures but may include issues like weak passwords, misconfigurations, and the leakage of sensitive information.…”

Section: Lack Of User Awareness and Human Errormentioning

confidence: 99%

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Ahmadi

2024

JIS

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Cloud computing plays a significant role in modern information technology, providing organizations with numerous benefits, including flexibility, scalability, and cost-efficiency. However, it has become essential for organizations to ensure the security of their applications, data, and cloud-based networks to use cloud services effectively. This systematic literature review aims to determine the latest information regarding cloud computing security, with a specific emphasis on threats and mitigation strategies. Additionally, it highlights some common threats related to cloud computing security, such as distributed denial-of-service (DDoS) attacks, account hijacking, malware attacks, and data breaches. This research also explores some mitigation strategies, including security awareness training, vulnerability management, security information and event management (SIEM), identity and access management (IAM), and encryption techniques. It discusses emerging trends in cloud security, such as integrating artificial intelligence (AI) and machine learning (ML), serverless computing, and containerization, as well as the effectiveness of the shared responsibility model and its related challenges. The importance of user awareness and the impact of emerging technologies on cloud security have also been discussed in detail to mitigate security risks. A literature review of previous research and scholarly articles has also been conducted to provide insights regarding cloud computing security. It shows the need for continuous research and innovation to address emerging threats and maintain a security-conscious culture in the company.

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Section: Lack Of User Awareness and Human Errormentioning

confidence: 99%

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Ahmadi

2024

JIS

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“…While CSPs provide considerable convenience to users and corporations, they also pose potential threats to data storage security, resulting in some unavoidable security problems, such as network attacks, hardware failures, management errors, etc. [3]. When data owners (DOs) outsource data to the CSP, this also means that they lose physical control power over the data [4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Data Integrity Auditing Based on Hierarchical Merkle Hash Tree in Cloud Storage

et al. 2023

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In cloud storage mode, users lose physical control over their data. To enhance the security of outsourced data, it is vital to audit the data integrity of the data owners. However, most of the current audit protocols have a single application scenario and cannot accommodate the actual needs of individuals and enterprises. In this research, a safe and efficient auditing scheme is proposed that is based on a hierarchical Merkle tree. On the one hand, we use a hierarchical authentication data structure and local signature aggregation technique to reduce the scale of the Merkle tree. In addition, authoritative nodes are introduced to reduce the length of the authentication path and improve the update efficiency. On the other hand, we introduce a monitoring mechanism that is based on the original data integrity auditing model to analyze the cloud data, which improves the transparency and credibility of cloud service providers. In addition, we achieve incomplete data recovery through log analysis, which greatly reduces the number of replicas of files under the premise of multi-copy auditing, reduces the burden on cloud service providers, and improves the fairness of audit protocols. The theoretical analysis and experimental comparison prove that the method is secure and efficient. It can effectively reduce the computational overhead and storage overhead in integrity auditing.

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Research on Cloud Office Resource Allocation Algorithm Based on Correction Weight PSO

Wang

Chun²,

Gan

et al. 2022

Advances in Artificial Intelligence and Security

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Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy

Cited by 6 publications

References 27 publications

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Dynamic Data Integrity Auditing Based on Hierarchical Merkle Hash Tree in Cloud Storage

Research on Cloud Office Resource Allocation Algorithm Based on Correction Weight PSO

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