Augmenting Zero Trust Network Architecture to enhance security in virtual power plants

Alagappan, Annamalai; Venkatachary, Sampath Kumar; Andrews, Leo John Baptist

doi:10.1016/j.egyr.2021.11.272

Cited by 30 publications

(21 citation statements)

References 32 publications

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“…Zero trust represents a new generation of network security protection, which means we do not trust anyone, devices, and systems inside or outside the enterprise network [50]. In the face of internal and external threats, the data security hierarchical dynamic access control is realized through the zero trust model to verify the data compliance.…”

Section: Prospects For Future Researchmentioning

confidence: 99%

The Development of Privacy Protection Standards for Smart Home

Liu¹,

Yang

et al. 2022

Wireless Communications and Mobile Computing

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With the rapid development of network technology, society has entered the Internet of Things (IoT) era. Enriching IoT devices enable smart home privacy information to be easily obtained through data mining. Smart home privacy protection (SHPP) has a farreaching impact on the development of all aspects of society. Industrial and academic circles pay great attention to the privacy protection of the smart home, and the ability to protect the privacy needs to be improved. SHPP standards are one way to evaluate privacy protection capabilities at this stage. Based on our research on privacy protection standards, this paper summarizes the development of privacy protection standards for the first time. It divides them into three phases: creation, exploration, and expansion. According to the characteristics of the privacy data rotation, the SHPP standard system is proposed, including basic commonality, critical technology, auxiliary management, test and certification, and device application. Finally, we focus on the opportunity and challenges of smart home privacy security standards brought by the current big data and prospect the trend of privacy protection technologies and standard study. They provide a connection for subsequent standard investigations.

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Section: Prospects For Future Researchmentioning

confidence: 99%

The Development of Privacy Protection Standards for Smart Home

Liu¹,

Yang

et al. 2022

Wireless Communications and Mobile Computing

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“…To close the trust gap [18] adopted the ZTA framework and proposed a trust model in cloud environments, their study offered a fine-grained model to enhancing trust in an organization"s information system reference components from the National Institute of standard and technology was adopted in the design, and performance analysis was carried out to test the efficacy of the model, it was evident that intrusion can be controlled with the distribution of trust-based node. Owing to the inefficiencies of current cyber security measures in virtual power plants [19] adopted the ZTA to enhance privacy and data protection in the energy sector, their model was built on the ZTA foundation and performance provided a feasible solution to data theft and breaches. The use cases of zero trust have continued to rise since the emergence of the pandemic and have changed the dynamics of work the place environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Zero Trust Architecture: Trend and Impact on Information Security

EDO¹,

Tenebe²,

Etu³

et al. 2022

IJETAE

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Traditional-based security models are a threat to information security; they have been regarded as weak and ineffective to meet the dynamics of information system trust. An emerging framework, Zero Trust Architecture (ZTA) seeks to close the trust gap in information security through enforcing policies based on identity and continuous authentication and verification. This framework is built on several trust nodes and logical components that attempt to close the trust gap that exists in an information system. The adoption of this framework is still in its teething stage which is a result of several misleading deductions and assumptions. We attempt to explore the intricacies in the framework and close the existing knowledge gap. we surveyed the literature on ZTA and provided a foundational discussion on its implementation and effectiveness from prior studies. while we do not critique other models, this paper studied the strength and variables of the zero-trust security architecture and attempt to provide an overview of the model and close the knowledge gap on the effectiveness of adopting a Zero trust philosophy.

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“…The trunk ensures the trust of the business and minimizes the untrusted security risks. Alagappan et al (2022) proposed a zero trust network architecture to enhance the security of virtual power plants. In order to prevent and contain network threats or network crimes, considering the ability of the architecture, a single damaged endpoint in a zero trust network is unlikely to spread horizontally, thus infecting the entire network.…”

Section: Introductionmentioning

confidence: 99%

Security feedback trust model of power network demand response terminal triggered by hacker attacks

Chen

Zhao²,

Sun³

et al. 2023

Front. Energy Res.

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With the rapid expansion of power system scale, demand response business is promoted to develop. More and more demand response terminals are connected to the smart grid, smart grid is an intelligent system that allows the grid to effectively perform its functions. Its data can be used in intelligent decision-making during grid operation, which may be attacked by hackers in practical applications, causing security problems of demand response terminals of the power network. The security feedback trust model establishes trust relationship through trust mechanism, which can effectively ensure the security of interaction between nodes and demand response terminals of the smart grid. Therefore, a security feedback trust model of power network demand response terminal triggered by hacker attacks is proposed. Analyze the role of smart grid in power grid, and use convolutional neural network in artificial intelligence technology to enhance the flexibility of smart grid. Aiming at the security problem of the demand response terminal of the power network being attacked by hackers, based on the trust theory, the security feedback trust model of the demand response terminal of the power network is designed through the main services provided by the security feedback trust model, the trust information storage of the power network nodes and the summary of the main work. Establish the identity trust relationship, adopt the distributed verifiable signature scheme, update the power grid node certificate, update the identity trust relationship, and revoke the identity trust relationship based on the trust evaluation and threshold value to prevent hackers from attacking the power grid demand response terminal. Based on information theory, trust is established and measured. Entropy is used to represent the trust value. Behavior trust evaluation and composition mechanism are introduced into the security feedback trust model of power network demand response terminals to achieve the credibility of identity and behavior among power network nodes. The experimental results show that the proposed method can judge the hacker attacks, reduce the impact of hacker attacks on the trust of power grid nodes, and improve the interaction security between power grid demand response terminals and power grid nodes.

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Augmenting Zero Trust Network Architecture to enhance security in virtual power plants

Cited by 30 publications

References 32 publications

The Development of Privacy Protection Standards for Smart Home

The Development of Privacy Protection Standards for Smart Home

Zero Trust Architecture: Trend and Impact on Information Security

Security feedback trust model of power network demand response terminal triggered by hacker attacks

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