Enabling Fog Computing based Dynamic Security Service Function Chaining for 5G IoT
Imrith, Vashish N.; Ranaweera, Pasika; Damree, Sneha; Liyanage, Madhusanka (2022-11-11)
IEEE
11.11.2022
V. N. Imrith, P. Ranaweera, S. Damree and M. Liyanage, "Enabling Fog Computing based Dynamic Security Service Function Chaining for 5G IoT," 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Hyderabad, India, 2021, pp. 149-154, doi: 10.1109/ANTS52808.2021.9936997.
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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202401171300
https://urn.fi/URN:NBN:fi:oulu-202401171300
Tiivistelmä
Abstract
Fog computing is an edge computing strategy which fuels adaptation of Internet of Things (IoT) in many domains. The decentralized and dynamically deployable features of the fog nodes are useful to satisfy the service requisites of IoT nodes. However, security is a prime concern for both fog, and IoT deployments; where their inhibited limited resources are expanding the threat landscape for the malicious adversaries towards resource exhaustive attempts. Despite the available security servicing tools being effective, a singular service is not adequate to address all the intricacies of the contrived threat landscape. Hence, the requirement of multiple security services to operate in a cooperative domain is an obvious fact. However, integrating multiple security services in a resource constrained fog node is a challenge. Thus, in this research, we are leveraging Service Function Chaining (SFC) concept as a method to deploy multiple security services/ tools in a resource constrained edge node (i.e. Raspberry Pi), while evaluating its adaptability in a developed experimental virtual platform. The implemented SFC strategy on the fog node is compared with a resourceful virtual machine to understand the performance issues.
Fog computing is an edge computing strategy which fuels adaptation of Internet of Things (IoT) in many domains. The decentralized and dynamically deployable features of the fog nodes are useful to satisfy the service requisites of IoT nodes. However, security is a prime concern for both fog, and IoT deployments; where their inhibited limited resources are expanding the threat landscape for the malicious adversaries towards resource exhaustive attempts. Despite the available security servicing tools being effective, a singular service is not adequate to address all the intricacies of the contrived threat landscape. Hence, the requirement of multiple security services to operate in a cooperative domain is an obvious fact. However, integrating multiple security services in a resource constrained fog node is a challenge. Thus, in this research, we are leveraging Service Function Chaining (SFC) concept as a method to deploy multiple security services/ tools in a resource constrained edge node (i.e. Raspberry Pi), while evaluating its adaptability in a developed experimental virtual platform. The implemented SFC strategy on the fog node is compared with a resourceful virtual machine to understand the performance issues.
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