Secure information processing for multimedia forensics using zero-trust security model for large scale data analytics in SaaS cloud computing environment

Saleem, Mahreen; Warsi, M. R.; Islam, Saiful

doi:10.1016/j.jisa.2022.103389

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…The norm has become reactive networks with low accountability and monitoring. Emerging technologies, such as Zero Trust network architecture, have changed the way cloud network security is approached [ 45 ]. No entity, regardless of origin or access scope, is implicitly trusted in ZT network access.…”

Section: Comparative Analysis Of Zero Trust Network Systemmentioning

confidence: 99%

A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model

Dhiman,

Saini,

Gulzar

et al. 2024

Sensors

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The Zero Trust safety architecture emerged as an intriguing approach for overcoming the shortcomings of standard network security solutions. This extensive survey study provides a meticulous explanation of the underlying principles of Zero Trust, as well as an assessment of the many strategies and possibilities for effective implementation. The survey begins by examining the role of authentication and access control within Zero Trust Architectures, and subsequently investigates innovative authentication, as well as access control solutions across different scenarios. It more deeply explores traditional techniques for encryption, micro-segmentation, and security automation, emphasizing their importance in achieving a secure Zero Trust environment. Zero Trust Architecture is explained in brief, along with the Taxonomy of Zero Trust Network Features. This review article provides useful insights into the Zero Trust paradigm, its approaches, problems, and future research objectives for scholars, practitioners, and policymakers. This survey contributes to the growth and implementation of secure network architectures in critical infrastructures by developing a deeper knowledge of Zero Trust.

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Section: Comparative Analysis Of Zero Trust Network Systemmentioning

confidence: 99%

A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model

Dhiman,

Saini,

Gulzar

et al. 2024

Sensors

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“…Subsequently, scholars began to expand on this logical architecture by incorporating concepts such as policy information points (PIP) and policy storage (Buck et al 2021). Based on existing research (Teerakanok et al 2021;Rose et al 2020), the updated zero trust logic architecture and it key components are summarized in Fig. 2, which includes six major components: network participants, PEP, policy decision points (PDP), PIP, policy administration points (PAP), and resources.…”

Section: Zero Trust Architecturementioning

confidence: 99%

“…The NIST has released the final version of its publication, "Special Publication (SP) 800-207, Zero Trust Architecture" (Rose et al 2020). This document highlights the security concept of zero trust and introduces three technologies, known as "SIM", to implement this architecture.…”

Section: Zero Trust Architecturementioning

confidence: 99%

“…To ensure the search for the most relevant results, we identify related terms that are used as synonyms for zero trust concept, as suggested by Buck et al (Buck et al 2021). We also incorporate three technologies and their corresponding synonyms that are suggested by NIST (Rose et al 2020). The search string used is ("zero trust" OR "zero-trust" OR "software defined perimeter" OR "identity and access management" OR "micro segmentation" OR "micro-segmentation").…”

Section: Data Collection and Processingmentioning

confidence: 99%

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Dissecting zero trust: research landscape and its implementation in IoT

Liu,

Tan,

et al. 2024

Cybersecurity

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As a progressive security strategy, the zero trust model has attracted notable attention and importance within the realm of network security, especially in the context of the Internet of Things (IoT). This paper aims to evaluate the current research regarding zero trust and to highlight its practical applications in the IoT sphere through extensive bibliometric analysis. We also delve into the vulnerabilities of IoT and explore the potential role of zero trust security in mitigating these risks via a thorough review of relevant security schemes. Nevertheless, the challenges associated with implementing zero trust security are acknowledged. We provide a summary of these issues and suggest possible pathways for future research aimed at overcoming these challenges. Ultimately, this study aims to serve as a strategic analysis of the zero trust model, intending to empower scholars in the field to pursue deeper and more focused research in the future.

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“…Several future trends and innovations are expected to shape the landscape of cybersecurity. Zero Trust is a security model that assumes no implicit trust and verifies everyone and everything trying to connect to the network, regardless of location (Saleem, Warsi, and Islam, 2023). With the increasing complexity of networks and the rise of remote work, Zero Trust architectures provide enhanced security by continuously validating user and device identities.…”

Section: Future Trends and Innovationsmentioning

confidence: 99%

Cybersecurity Risk Assessment in Banking: Methodologies and Best Practices

Samuel Onimisi Dawodu,

Adedolapo Omotosho,

Odunayo Josephine Akindote

et al. 2023

Comput. sci. IT res. j.

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Cybersecurity risk assessment in banking is the process of identifying, analyzing, and evaluating the cyber threats and vulnerabilities that may affect the confidentiality, integrity, and availability of the information systems and data of banks and their customers. Cybersecurity risk assessment in banking helps banks to prioritize and implement appropriate controls and measures to mitigate the cyber risks and to comply with the relevant regulations and standards. This study focusses on identifying effective risk assessment strategies, highlighting how they can be adapted and applied in various banking environments, especially in developing economies like Nigeria. As the banking industry continues to evolve in the digital era, the significance of robust cybersecurity measures cannot be overstated. This paper delves into the critical domain of Cybersecurity Risk Assessment in Banking, exploring various methodologies and best practices employed to safeguard financial institutions against evolving cyber threats. The dynamic landscape of cyber risks faced by banks, ranging from sophisticated malware and phishing attacks to insider threats and system vulnerabilities are examined. The paper provides an in-depth analysis of established and emerging methodologies for conducting effective cybersecurity risk assessments in the banking sector. It explores quantitative and qualitative risk assessment approaches, threat modeling, and scenario analysis, shedding light on their respective strengths and limitations. Moreover, the document highlights the importance of aligning risk assessment methodologies with industry regulations and compliance standards to ensure a comprehensive and regulatory-compliant cybersecurity framework. Best practices for cybersecurity risk management in banking are scrutinized, emphasizing the integration of proactive threat intelligence, continuous monitoring, and incident response planning. The role of advanced technologies, including artificial intelligence and machine learning, in enhancing the efficiency of risk assessment processes is also discussed. Furthermore, the paper addresses the human element in cybersecurity, emphasizing the significance of training and awareness programs to mitigate risks associated with human error and social engineering attacks. By synthesizing insights from industry practices, regulatory guidelines, and technological advancements, this paper offers a comprehensive guide for banking professionals, cybersecurity practitioners, and policymakers involved in fortifying the resilience of financial institutions against cyber threats. Ultimately, the research aims to contribute to the ongoing discourse on cybersecurity risk assessment in banking, providing actionable insights to navigate the complex landscape of digital risks and ensuring the continued trust and security of the financial ecosystem. Keywords: Cybersecurity; Risk Assessment; Banking; Methodologies; Cyber Threat; Artificial Intelligence; Best Practices

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Secure information processing for multimedia forensics using zero-trust security model for large scale data analytics in SaaS cloud computing environment

Cited by 16 publications

References 9 publications

A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model

A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model

Dissecting zero trust: research landscape and its implementation in IoT

Cybersecurity Risk Assessment in Banking: Methodologies and Best Practices

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