Proposal of a Perimeter Line Management Method for Fog and Edge Computing with SDP Concept

Tanimoto, Shigeaki; Sato, Yuzuka; Chertchom, Prajak; Satō, Hiroyuki; Kanai, Atsushi

doi:10.1007/978-3-030-57811-4_27

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…An IH is authorized by the SDP controller to form a secure data channel enabled with the mTLS protocol to the AH. When an AH receives a request from the IH, it authenticates it and then the authorized IH secures a data channel for communication [5]- [6].…”

Section: Current Status Of Sdpmentioning

confidence: 99%

Suitable Scalability Management Model for Software-Defined Perimeter Based on Zero-Trust Model

Tanimoto

Yangchen

Satō

et al. 2023

International Journal of Service and Knowledge Management

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The software-defined perimeter (SDP), a zero-trust model developed by the Cloud Security Alliance, has been attracting attention in the technological industry since its introduction to a world adapting to digital transformation. Many trust models have been introduced to meet the growing demands for cyber security, such as the public key infrastructure, software-defined network, and virtual private network. SDP has particularly gained importance as a zero-trust model because no one in the digital world can be trusted. With the introduction of new models and technical devices, there is now a need to improve newly introduced technology on various grounds when customers adapt to devices. In this work, we discuss how to overcome the current issues of SDP relating to scalability, reliability, usability, etc. As the number of organizations that share information online continues to expand, there is a need for scalable and reliable SDP models that are both easy to maintain and cost efficient for evolving organizations. To meet this need, we proposed several scalable SDP models that enable easier installation management of real networks of organizations with different organizational structures. Specifically, we propose hierarchical, bridge, hybrid, and mesh models. The results of qualitative and quantitative evaluations showed that the bridge model is the most suitable of the four as an extension of SDP.

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Section: Current Status Of Sdpmentioning

confidence: 99%

Suitable Scalability Management Model for Software-Defined Perimeter Based on Zero-Trust Model

Tanimoto

Yangchen

Satō

et al. 2023

International Journal of Service and Knowledge Management

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“…1(a), and a three-layer structure in which a "fog layer" is added in between the edge layer and cloud layer, as shown in Fig. 1(b) [4], [5]. As the number of IoT devices (things) continues to increase, the two-layer structure is facing problems such as increased communica-tion charges, increased network load, difficulty in ensuring security, and high latency.…”

Section: Iot Networkingmentioning

confidence: 99%

“…2) Measures should presuppose illegal equipment connections and malfunctions. These issues are not limited to IoT devices, but it is important to consider the related issues from edge fog to cloud [5], [12], [13].…”

Section: Related Workmentioning

confidence: 99%

Risk Management and Risk Countermeasure Portfolio of Fog Computing for Improving IoT Security

Tanimoto

Matsumoto

Endo

et al. 2022

International Journal of Service and Knowledge Management

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In the era of Digital Transformation (DX), as the Internet continues to become more and more widespread, various devices are now connected to it and the number of IoT devices is increasing. Data generated by IoT devices has traditionally been aggregated in the cloud and processed over time. However, there are two issues with using the cloud. The first is the response delay caused by the long distance between the IoT device and the cloud, and the second is the difficulty of implementing sufficient security measures on the IoT device side due to the limited resources of the IoT device. To address these issues, fog computing, which is positioned in the middle between IoT devices and the cloud, has been attracting attention as a new network component. However, the risks associated with the introduction of fog computing have not yet been fully investigated. In this study, we conducted a risk assessment of fog computing, which is newly established to promote the use of IoT devices, and identified 24 risk factors. The main countermeasures include the gradual introduction of connected IoT connection protocols and security policy matching. We also demonstrated the effectiveness of the proposed risk countermeasures by evaluating the risk values. Furthermore, from a practical viewpoint, the portfolio for the proposed risk countermeasures is mentioned to ensure a more practical risk assessment result. As a result, the proposed risk countermeasures for fog computing will contribute to the safe and secure use of IoT devices.

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Multilayer Defense Security Management in Consideration of TPO Conditions

Yuki

Tanimoto

Goromaru

et al. 2022

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)

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Proposal of a Perimeter Line Management Method for Fog and Edge Computing with SDP Concept

Cited by 7 publications

References 3 publications

Suitable Scalability Management Model for Software-Defined Perimeter Based on Zero-Trust Model

Suitable Scalability Management Model for Software-Defined Perimeter Based on Zero-Trust Model

Risk Management and Risk Countermeasure Portfolio of Fog Computing for Improving IoT Security

Multilayer Defense Security Management in Consideration of TPO Conditions

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