A cloud-fog architecture for physical-internet-enabled supply chain

Mededjel, Mansour; Belalem, Ghalem; Neki, Abdelkader

doi:10.1080/16258312.2021.1996861

Cited by 4 publications

(1 citation statement)

References 49 publications

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“…In this mechanism, the utilization of the fog was divided into two layers, where Layer 1 monitors and controls the supply chain and Layer 2 manages the cloud servers, where the communication is performed using the cellular or GPRS network. Another cloud-fog integrated architecture was proposed for an Internet-enabled supply chain [34]. The proposed approach utilizes A*, with real-time processing with enabled IoT and fog capabilities to manage the supply chain.…”

Section: [33]mentioning

confidence: 99%

Fog-Computing-Based Cyber–Physical System for Secure Food Traceability through the Twofish Algorithm

et al. 2022

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The Internet is an essential part of daily life with the expansion of businesses for maximizing profits. This technology has intensely altered the traditional shopping style in online shopping. Convenience, quick price comparison, saving traveling time, and avoiding crowds are the reasons behind the abrupt adoption of online shopping. However, in many situations, the product provided does not meet the quality, which is the primary concern of every customer. To ensure quality product provision, the whole food supply chain should be examined and managed properly. In food traceability systems, sensors are used to gather product information, which is forwarded to fog computing. However, the product information forwarded by the sensors may not be similar, as it can be modified by intruders/hackers. Moreover, consumers are interested in the product location, as well as its status, i.e., manufacturing date, expiry date, etc. Therefore, in this paper, data and account security techniques were introduced to efficiently secure product information through the Twofish algorithm and dual attestation for account verification. To improve the overall working, the proposed mechanism integrates fog computing with novel modules to efficiently monitor the product, along with increasing the efficiency of the whole working process. To validate the performance of the proposed system, a comparative simulation was performed with existing approaches in which Twofish showed notably better results in terms of encryption time, computational cost, and the identification of modification attacks.

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Section: [33]mentioning

confidence: 99%