2019· International Journal of Emerging Trends in Multidisciplinary Research· Vol 2, pp. 01-15· 0 citations
TL;DR
The researcher has synthesized academic literature, industry white papers, and standards that have been published before 2024 to arrive at major security trends, such as zero trust architecture and systems, cloud security posture management (CSPM), cloud workload protection systems (CWPP), identity-centric security, confidential computing, policy-as-code, and AI-assisted threat detection.
Abstract
The use of multi-clouds has taken the form of a leading architecture trend in organizations that desire a resilient, vendor-independent enterprise, regulatory-compliant, and cost-performance trade-off platforms. Nevertheless, allocating workloads, data and identities among heterogeneous cloud service providers (CSPs) present challenging and dynamic security issues. In this paper, the author offers an in-depth and detailed discussion of the current changes in the multi-cloud security frameworks, focusing on the architectural foundations, threat patterns, governance processes, and new technologies that are defining the secure multi-cloud environments. The abstract expounds the rationale behind the need of multi-cloud security, constraints in the single-cloud security posture, and the need to have coherent but provider-understanding security models. In this paper, the researcher has synthesized academic literature, industry white papers, and standards that have been published before 2024 to arrive at major security trends, such as zero trust architecture and systems, cloud security posture management (CSPM), cloud workload protection systems (CWPP), identity-centric security, confidential computing, policy-as-code, and AI-assisted threat detection. A multi-layered approach has been suggested that incorporates the governance, identity, data, network, and application security among various CSPs with Interoperability and compliance. The discussion and results lead to a qualitative assessment of the efficiency of the proposed framework in comparison to the existing findings and a significant enhancement of the visibility, decrease of the risk, and consistency in the operations. The conclusion provides the future direction of research, such as autonomous security orchestration and cryptography resilience. The paper provides a systematic resource to researchers and practitioners developing secure, scalable and compliant multi-cloud environments
The spread of the distributed computing paradigms such as cloud, edge, and fog computing has made a difference in current information systems architecture. Although each of these technologies provides incredible scalability, low latency, and a greater level of computational efficiency, they also create intricate multi-layered security vulnerabilities that cross through heterogeneous infrastructure environments. The conventional security evaluation strategies that are mainly set to centralised computing paradigms are ineffective in dealing with the dynamic and distributed characteristics of these emerging paradigms. The shared ecosystem between the cloud datacenters, edge nodes, and the fog computing devices introduces attack surfaces that are significantly wider than traditional conceptions of what security measures can encompass, and thus theoretically requires the development of new frameworks to evaluate risks across all tiers of the system. The research paper brings in a cohesive theoretical framework of the systematic assessment of security risks in cloud, edge, and fog computing setups. The main goals include the construction of mathematical models to quantify multi-dimensional security threats, algorithmic solutions to real-time risk evaluation and uniform metric measures for comparative security analysis across heterogeneous distributed computer systems. In the methodology that is proposed to be used, the topologies of distributed computing will be represented using graph theoretical modelling, with Bayesian inference networks to account for probabilistic risk analysis, and machine learning algorithms to adaptively represent and search for threats. The framework combines time analysis on the risk dynamics, space analysis on the extent of danger, and hierarchical modelling on the multitier safety analysis. Next, an in-depth analysis is conducted based on practical deployment on all major cloud platforms, assessment of edge computing testbeds, and implementation of fog computing. The experimental validation results prove that, with diverse distributed computing environments, the framework identification performance is 97.3% precision, and the 94.8% identification performance of security vulnerabilities. The methodology raises the threat detection accuracy by 23 percent compared to the current methods and lowers the false positive rates by 31 per cent. Scalability Performance analysis demonstrates scale to networks with more than 10,000 heterogeneous nodes with real-time assessment capability, which can maintain response times of under a second. The theoretical framework presents a broad base of security risk assessment in the contemporary distributed computing paradigms. The practice allows the proactive security management process, allows the formalisation of the process of risk assessment, and informs the decision-making process regarding infrastructure security investment. The flexibility and scalability of the framework make it an invaluable support in the protection of next-generation distributed computing environments.
K. Mulenga, S. Tembo· International journal of res...· 0 citations
Analysis of hybrid cloud architecture, its applicability to the modern enterprise business setting, and its use in facilitating resilience-based scalable and secure business activities indicate that hybrid cloud solutions can be effective with regards to enhanced performance, availability and reduced costs in comparison with earlier single-cloud models.
Noah Wright, Isabella Moore· International Journal of Mod...· 0 citations
A four-plane theoretical model can be introduced to separate authentication, authorization reasoning, enforcement, and auditability into four closely coupled but independent evolving planes for the system, providing a unified point of reference for both researchers and practitioners in the field of secure and scalable identity management in today's enterprise world.
Ravi Kumar Kotapati· International Research Journ...· 0 citations
This paper presents a systematic literature review examining how blockchain technologies can enhance the security and performance of multi-cloud systems. Multi-cloud architectures offer resilience, scalability, and flexibility; however, they also pose complex security challenges related to APIs, service-level agreements (SLAs), orchestration, and authentication. The promise of blockchain technology to improve the security and transparency of numerous applications, including cloud storage systems, has attracted considerable attention in recent years. Much research has focused on decentralized storage in cloud environments, spanning supply chains, FinTech, healthcare, and education. Still, the integration of blockchain with the cloud and its potential to enhance security and performance warrant an in-depth study. Using the PRISMA methodology, a structured search was conducted across six major scientific databases, including IEEE, ACM Digital Library, ScienceDirect, Scopus, Web of Science, and IJIMAI. Twenty-four primary papers published between 2019 and 2025 were selected for analysis after clear inclusion and exclusion criteria were applied. This review examines the security dimensions in multi-cloud environments—architectural vulnerabilities, API security, authentication, orchestration and automation vulnerabilities, SLAs, and cybersecurity compliance issues—in relation to blockchain technology. Based on the identified gaps, we propose a SOC-LLM-augmented security architecture that integrates blockchain-based evidence integrity, statistical anomaly detection, machine learning, large language models, and autonomous AI agents to enable intelligent attack detection and response. The proposed framework introduces specialized agents for detection, correlation, threat intelligence retrieval, blockchain evidence validation, explanation generation, and response planning. The analysis shows that integrating SOC-LLM capabilities with blockchain can move multi-cloud security from passive auditability toward proactive, explainable, and human-in-the-loop cyber defense. Finally, this paper discusses open challenges, including LLM hallucination, data scarcity, real-time scalability, evaluation standardization, and trustworthy deployment in critical multi-cloud infrastructures. The study’s conclusion highlights research gaps and suggests future lines of inquiry concerning scalable blockchain architectures and the incorporation of AI for proactive cloud security monitoring.
Adam Koty Abbass Ahmat, Habiba Chaoui· De Computis· 0 citations
Cloud Computing has completely transformed the way businesses operate today with its scalability, flexibility, and cost efficiency. Cloud platforms have become a key component for organizations in various sectors to store data, deploy software, manage infrastructure, and implement digital transformation efforts. But the adoption of cloud computing has made it extremely challenging to deal with several security concerns like data breach, cyberattacks, unauthorized access, insider threats, and compliance concerns. The research paper employs secondary data collection and thematic analysis to critically discuss challenges of cloud security and risk management approaches in contemporary cloud computing environment. A thorough literature review of the scholarly papers from 2015 to 2023 is conducted to assess cybersecurity threats, cloud vulnerabilities, identity management systems, encryption technologies, compliance frameworks, and artificial intelligence-based threat detection systems.Peer reviewed journal articles, conference papers and industry reports were analysed using the method of themed analysis, which identified themes that appeared repeatedly throughout. The results show that cloud environments are still very susceptible to advanced cyberattacks, ranging from weak authentication and insecure APIs to misconfigured cloud services and inadequate governance. The study also points out the effectiveness of modern technologies like multi-factor authentication, zero-trust security models, artificial intelligence, and encryption enhance cloud security performance. But there are still issues in the way of the organizations' operations regarding regulatory compliance, data governance and shared security responsibilities.The study demonstrates that the key factors to achieving effective cloud security are continuous monitoring, robust governance policies, employee awareness training, and high-level cybersecurity frameworks. The study adds to the body of knowledge about the security of cloud computing, and offers practical suggestions for any organization working in the cloud.
Veeramani Sampathkumar, Dinesh Kumar Ramaraj, Rajesh Kotha et al.· International journal of com...· 0 citations
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