SPL-based traceability model for food document tracing

Azram, Nur Adila; Atan, Rodziah

doi:10.1109/mysec.2015.7475223

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Therefore, sensors are responsible for obtaining product information from different stages and forwarding it to fog computing [3]. In food traceability, it is important to identify the actual content and information of the food product because it is essential to find the ingredients and product values used in various food products [4]. Due to the mentioned challenges, food traceability plays an important role in the food supply chain domain [5].…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

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

et al. 2022

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A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data

Song

Huo

et al. 2022

Discrete Dynamics in Nature and Society

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The data of food quality tracing information have a few features, such as wide coverage range, many circulation links, complex data sources, low authenticity, and difficult information sharing. The continuous development of big data technology provides infinite possibilities for the construction of food quality source tracing systems. Currently, there are many studies on the application of food quality source tracing systems; however, most of them are in the field of food quality databases, and few have concerned about its application in the field of big data. Therefore, to fill in this research gap, this paper aimed to study a dynamic source tracing method for food supply chain quality and safety based on big data. At first, this paper summarized the variables of food supply chain quality and safety, constructed a Petri net model and a Bayesian network model for food quality prediction and source tracing, and realized the prediction of food quality features. Then, this paper applied two data analysis and processing methods—the density-based clustering algorithm and the cosine similarity algorithm—to preliminarily process the collected quality tracing information of each link in the food supply chain and analyzed the influencing factors of food quality. Finally, experimental results proved the effectiveness of the constructed model. Relying on the real-timeliness and authenticity of big data, this paper guarantees the credibility of the traceable information in the tracking process and improves the accuracy through real-time stream processing of the updated data, providing unlimited possibilities for the comprehensive tracking of food sources.

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SPL-based traceability model for food document tracing

Cited by 2 publications

References 10 publications

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

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

A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data

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