An Artificial Intelligence Approach for Deploying Zero Trust Architecture (ZTA)

Hosney, Eslam Samy; Halim, Islam Tharwat Abdel; Yousef, Ahmed H.

doi:10.1109/icci54321.2022.9756117

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…However, machine learning can detect abnormal behavior or malicious activities in network traffic, and deep learning can analyze vast amounts of data to discover threat patterns (Sedjelmaci et al 2023). Automated policy configuration can enhance existing security intelligence engines by incorporating more complex rules and and minimizing time and effort (Hosney et al 2022). A MSG model based on machine learning can mitigate lateral Zero trust in cloud computing Cloud computing has gained widespread popularity in recent years as organizations seek to optimize their IT infrastructure and cut costs.…”

Section: Analyzing Key Research Hotspots and Future Trends For Zero T...mentioning

confidence: 99%

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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Section: Analyzing Key Research Hotspots and Future Trends For Zero T...mentioning

confidence: 99%

Dissecting zero trust: research landscape and its implementation in IoT

Liu,

Tan,

et al. 2024

Cybersecurity

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show abstract

“…Comprehensive Verification and Encryption: Zero Trust revolves around multifactor authentication (MFA), a process where both users and devices must prove their legitimacy. It also includes strong encryption to protect data and communications, as noted by Hosney et al (2022). Additional security checks, such as device verification, are employed to fortify defenses.…”

Section: Zero Trust Security Frameworkmentioning

confidence: 99%

Integrating Zero Trust and Human Elements for Enhanced Cloud Security

2024

ISDE

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This study investigates increasingly complex cyber threats that are challenging cloud environments as traditional protocols reach limitations. The rapid increase in cloud computing has exposed organizations to advanced cyber threats. This exposure has left them vulnerable to attacks that are large-scaled and complex. Conventional security models, which focus primarily on defending the perimeter, are not sufficient to meet the challenges posed by these changing threats. This situation requires a significant shift in cybersecurity strategies to ensure effective protection of cloud environments and to keep sensitive data safe. In response to these threats, we present an innovative methodology integrating Zero Trust principles with understanding of human factors for a versatile defense system closely aligned to nuances of conduct and culture. Our approach offers comprehensive solutions designed to address the dynamic and sophisticated nature of cloud protection requirements. As cyber risks continue to intensify, our methodology stands out by providing adaptive and human-centric security solutions. It represents a step forward in addressing the evolving challenges in cloud computing security, ensuring that defenses remain robust and responsive to both technological and human dynamics.

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“…Considering legacy systems and diverse platforms may cause compatibility matters, proper planning and interconnection of systems would be essential to seamlessly incorporate the Zero Trust environment. Remodeling an infrastructure is a large and complex project, therefore, there is a consideration of financial implications for investment, personnel, training, upgrades, and ongoing maintenance and support [39]. Organizations must reallocate resources strategically and perform a cost-benefit analysis to determine the level of Zero Trust adoption.…”

Section: Integration and Limitationsmentioning

confidence: 99%

The relevance, effectiveness, and future prospects of cyber deception implementation within organizations

Eng,

King,

Schillaci

et al. 2024

Assurance and Security for AI-enabled Systems

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Artificial Intelligence (AI) and Machine Learning (ML) based systems have seen tremendous progress in the past years. This unprecedent growth has also opened new challenges and vulnerabilities for keeping AI/ML based systems safe and secure. With a multitude of studies investigating adversarial machine learning (AML) and cyber security for AI/ML systems, there is a need for novel techniques and methodologies for securing these systems. Cyber security is often used as a blanket term meaning all defenses used in the context of cyber. This leaves out methodologies and techniques, being used more offensively, such as cyber deception. This study provides a comprehensive overview of cyber-deception for securing AI/ML systems including its relevance, effectiveness, and its potential for AI/ML assurance. The study provides an overview of behavioral sciences for cyber-deception, the benefits of using cyber deception, and the ethical concerns associated with cyber deception. Additionally, we present a use-case for the utilization of cyber deception with zero-trust architecture (ZTA) for assurance and security for AI/ML based systems.

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An Artificial Intelligence Approach for Deploying Zero Trust Architecture (ZTA)

Cited by 17 publications

References 20 publications

Dissecting zero trust: research landscape and its implementation in IoT

Dissecting zero trust: research landscape and its implementation in IoT

Integrating Zero Trust and Human Elements for Enhanced Cloud Security

The relevance, effectiveness, and future prospects of cyber deception implementation within organizations

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