A GAN-EfficientNet-Based Traceability Method for Malicious Code Variant Families

Due to the diversity and unpredictability of changes in malicious code,studying the traceability of variant families remains challenging.In this paper,we propose a GAN-EfficientNetV2-based method for tracing families of malicious code variants.This method leverages the similarity in layouts and textures between images of malicious code variants from the same source and their original family of malicious code images.The method includes a lightweight classifier and a simulator.The classifier utilizes the enhanced EfficientNetV2 to categorize malicious code images and can be easily deployed on mobile,embedded,and other devices.The simulator utilizes an enhanced generative adversarial network to simulate different variants of malicious code and generates datasets to validate the model’s performance.This process helps identify model vulnerabilities and security risks,facilitating model enhancement and development.The classifier achieves 98.61%and 97.59%accuracy on the MMCC dataset and Malevis dataset,respectively.The simulator’s generated image of malicious code variants has an FID value of 155.44 and an IS value of 1.72±0.42.The classifier’s accuracy for tracing the family of malicious code variants is as high as 90.29%,surpassing that of mainstream neural network models.This meets the current demand for high generalization and anti-obfuscation abilities in malicious code classification models due to the rapid evolution of malicious code.

Potentials and Challenges of Carbon Knowledge Graph in Sustainable Textile Production for Carbon Traceability:A Review

Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment.In addressing this challenge,the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry.Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes,enhancing energy efficiency and minimizing material waste.Consequently,low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios.However,while research on low-carbon manufacturing technologies for textile production has advanced,these studies predominantly concentrate on theoretical methods,with relatively limited exploration of practical applications.To address this gap,a thorough overview of carbon emission management methods and tools in textile production,as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues.Additionally,two new concepts,carbon knowledge graph and carbon traceability,are introduced,offering strategic recommendations and application directions for the low-carbon development of sustainable textile production.Beginning with seven key aspects of sustainable textile production,the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized.The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage.Furthermore,the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability,and several research ideas and suggestions are proposed.

Research Progress and Prospects of Traceability Methods of Organic Matter in Lake Sediment

Organic matter in sediment is an important carrier of energy and material circulation in ecosystems,and also provides an important place for the accumulation of nutrient salts.The study of its composition,structure and characteristics is of great importance for the study of the geochemical cycle of sediment in water environment.Identifying the source of organic matter in sediment and mastering its temporal and spatial distribution characteristics are important ways to reveal the migration and transformation law of pollutants,which is conducive to controlling nutrient load from the source and providing strong technical support for the fine management of water environment.

Research of Blockchain Technology in the Traceability of Characteristic Agricultural Products

With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.

Design and Implementation of Traceability Management System of Agricultural Products Quality and Safety Based on Domestic Basic Software of China

[Objective] To establish the traceability mechanism of agricultural products safety, and the application of promote domestic based software in the supervision area of agricultural products quality and safety. [Method] Through the analysis on the circulation characteristics of agricultural products, like fruits, vegetables, livestock and poultry, the agricultural products quality safety management and traceability query business component libraries were designed. Based on the run-time-supporting environment provided by domestic based software, traceability management system of agricultural products quality and safety was constructed. [Result] The traceability management system provided the information interaction and comprehensive management platform of agricultural product quality and safety based on domestic based software for the government, enterprises and consumers. [Conclusion] Through the application demonstration, the quality control and information traceability of full circulation of agricultural products was achieved effective and reliably, and the management level of agricultural products quality and safety was improved.

Studies on GIS Based Tracing and Traceability of Safe Crop Product in China

The safety of safe crop products （SCP） is critical to maintain people＇s health and living standard. With the global efforts on the improvement of the traceability of food products, it is inevitable to establish corresponding traceability systems to monitor the safety of crop products in China. In this article, the supply chain pattern of SCP in China has been analyzed and its spatial characters have been described in detail. The study deals with on how to relate traceability technology with GIS, and on how to trace and retrace the safety of SCP using the function of excellent spatial representation, spatial locating, and spatial analysis provided in GIS, which has been discussed from several aspects, such as coding technique of traceability information, transferring technique of traceability information, spatialization of traceability information, and application integration of traceability system. A pilot study was carried out to present the basic functions of the system, which provided an efficient and credible way to trace and retrace the safety of SCP in a real supply chain. An innovative idea has been brought forward for how to establish an efficient, credible, applied traceability system of SCP.

Antenna Design of Traceability System in Pig Breeding Stage

[Objective] In response to pig breeding stage characteristics,the research aimed to design the traceability system to realize the pig product marking which based on RFID technology. [Method] The antenna＇s design method of electronic tag and reader antenna were expounded and different antennas were used for testing communication test of RFID system. [Result] When the parameter setup such as data transportation ratio was same,the communication distance of external antenna was farther than RCB antenna; compare with three external antennas,the communication distance of coaxial antenna and wall-hanged antenna were farther. In 500 kbps transfer rate,communication distance was within 28 meters,and in 250 kbps transfer rate,communication distance was within 40 meters. Considered the cost of hardware,the price of wall-hanged antenna was higher than coaxial antenna,so in the same communication distance request,system selected coaxial antenna. [Conclusion] During the pig breeding stage,by dint of electronic tag and reader designed by the research could improve the safety of the pork and fully realize the track of source of food and provide technology support for the transparent management of food safety.

Study on Pork Quality and Safety Traceability System and Relevant Management Systems

It is the key to construct the traceability mechanism of quality responsibility for ensuring the quality and safety of animal products. In this study, after defining the concept of traceability system and analyzing its function mechanism, the design ideas of pork quality and safety traceability system based on bar code and Internet were put forward, including network structure, system process, business process and information identifica- tion. Then the relevant management systems were proposed.

Leveraging core capabilities and environmental dynamism for food traceability and firm performance in a food supply chain: A moderated mediation model

This paper develops a moderated mediation model in which the interactive effects of food traceability and environmental dynamism on firm performance are mediated by the core capabilities(operating capabilities and marketing capabilities)in food supply chain context, by invoking the indirect view of organizational learning theory. Our hypotheses were tested using hierarchical regression and bootstrapping methods with a sample of 216 food manufacturing firms in China, and a survey-based, two-informant design was used to collect data. The results revealed that operating and marketing capabilities fully mediate the food traceability-performance link. In addition, environmental dynamism positively moderates the food traceability-core capabilities link. Moreover, it is found that operating and marketing capabilities transform the interactive impacts of environmental dynamism and food traceability into firm performance. Our study offers a fine-grained picture of the essential food traceability-performance link by revealing for the first time that there is an interactive impacts of food traceability and environmental dynamism on firm performance via core capabilities.

A Solution on Pork Quality Traceability from Farm to Dinner Table in Tianjin City,China

In order to meet government supervision of pork production safety as well as consumer＇s right to know what they buy and protect the public safety of pork food, this study adopts animal identification, intelligent personal digital assistant （PDA） reading and writing, general packet radio service （GPRS）, and other information technologies, proposes a pork tracking and traceability inferstructure based on pork production substrace flow and data flow, designs the metadata structure and related datatbases for farming, slaughtering, and retailing sector based on intensive pig farming and smallhold pig farming, develops three different data-recording systems, and finally establishes a public network platform for the information inquiry in light of ＂the administrative rules on identification and rearing files for animal and poultry＂ in China. The farming process information system supplies early warning for the usage of drugs and feed additives based on data of every individual pig and timely uploading all events data to remote traceability database when pigs are sold; the PDA data collecting system can collect farming events data for pigs fed by farmers and submit to the center database by GPRS; the web-based Tianjin＇s pork traceability platform can integrate all identifications and related pork quality data from farming, slaughtering to marketing by online, and achieve pork tracking from product origin to consumption and tracing in the turnover direction. It is feasible to realize pork quality traceability by identification technologies developed and/or integrated, metadata specifications designed, three data-recording systems deyeloped, and web-inquiring platform established. Some individual technical bottlenecks will be resolved with the development of communication technologies. The full implementation in Tianjin, China, will supply technical support for guaranteeing the quality and safety of pork production and meeting consumer＇s demands.

Direct farm, production base, traceability and food safety in China

With the rapid growth of China＇s economy, rising demand for safety food has been accompanied by frequent food safety scandals. Given that China＇s farming is dominated by millions of small-scale farms, ensuring food safety is a major challenge facing the public and private sectors. The direct farm （DF） program, initiated in 2008, represents one of the government＇s major initiatives to modernize the distribution of fresh fruit and vegetables （FFV） and improve food safety. Under the DF program, participating national and international retailers are expected to establish more direct procurement relationships with farm communities. While it is often claimed that greater participation by retailers in the production and post-harvest processing implied the DF program will lead to improved quality, safety and traceability, systematic evidence remains elu- sive as existing studies are largely narrative, based on case studies, or theoretical inference. Little empirical evidence is available for a broader evaluation of the DF program. This paper aims to fill this gap by assessing the overall performance of a single retailer＇s DF experience with respect to the procurement and food safety of FFV. We use data from a survey of production managers of 35 DF production bases （PBs） spread across 11 provinces, 3 cities and 1 autonomous region in China. The results show a mixture of opportunities and challenges. On one hand, the DF program improves production practices and distribution channels of FFV produced on its PBs, thus facilitating the move of China＇s food system towards improved food safety compliance. On the other hand, significant heterogeneity in the traceability of food and the ability of DF to meet higher safety standards is evident both across major product categories and across household-operated vs. firm-operated PBs. The paper concludes with policy implications.

Food safety inspection and the adoption of traceability in aquatic wholesale markets: A game-theoretic model and empirical evidence

Supply chain traceability is key to reduce food safety risks,since it allows problems to be traced to their sources. Moreover,it allows regulatory agencies to understand where risk is introduced into the supply chain,and offers a major disincentive for upstream agricultural businesses engaging in economically motivated adulteration. This paper focuses on the aquatic supply chain in China,and seeks to understand the adoption of traceability both through an analytical model,and empirical analysis based on data collected through an extensive (largest ever) field survey of Chinese aquatic wholesale markets. The field survey includes 76 managers and 753 vendors,covering all aquatic wholesale markets in Zhejiang and Hunan provinces. The analytical and empirical results suggest that the adoption of traceability among wholesale market vendors is significantly associated with inspection intensity,their individual history of food safety problems,and their risk awareness. The effect of inspection intensity on traceability adoption is stronger in markets which are privately owned than in markets with state/collective ownership. The analysis offers insights into the current state of traceability in China. More importantly,it suggests several hypothesized factors that might affect the adoption of traceability and could be leveraged by regulatory organizations to improve it.

Willingness of farmers to participate in food traceability systems:improving the level of food safety

In order to solve frequently emerging food safety problems and adapt to the developing trends in the international food safety field, the Chinese government is establishing and developing food traceability systems. Whether or not food traceability sys- tems can guarantee food safety is a problem well worth discussing. Hence, we constructed a theoretical model to explore the effect of incentives in a food traceability system in order to improve food safety levels. The following results were obtained： enhancing the ef- fectiveness of a food traceability system, increasing the payment to farmers who supply safe agricultural products and strengthening the penalty for unsafe food supply actions are necessary conditions to improve the level of food safety. How to encourage farmers to use food traceability systems is another problem explored in our investigation. Based on a field survey on the willingness of vegetable growers to participate using a vegetable traceability system in Beijing, the first city in China to develop such a system, we used a de- scriptive statistics and a binary logistic regression model to investigate the factors which dominate the decision on the part of farmers to participate in a food safety system. The results indicate that i： younger farmers are more likely to get involved in a food traceability system than older farmers, ii： income from non-agricultural activities decreases the willingness of farmers to participate, iii： the high- er the cost-benefit ratio of growing vegetables, the more likely for farmers to engage in a food traceability system, iv： farmers with a great concern for food safety information have a high propensity to participate and v： increased penalties against unsafe food supply actions and high-risk expectation are adverse incentives. In contrast, high-price expectation is a positive incentive for farmers to par- ticipate, while agricultural training, government subsidies and being part of an industrial organization will significantly strengthen the confidence of farmers to participate in a food safety system.

Food Safety Traceability Systems in the Maritime Catering Logistics

This paper aims to explore food safety traceability in the onboard food and beverage operations on cruise ships through a case study approach. Semi-structured interviews were conducted with galley and foodservice staff. Additionally, a self-administered questionnaire was designed and distributed to logistics managers and employees of three Egyptian cruise companies. Results indicated that cruise ships in this study use paper-based and manually-entered (electronically stored) data traceability systems. Managing food safety by effective product recall, complying with legislation, and improving product quality are among the most important perceived benefits identified by foodservice staff. Maintaining a good reputation, ensuring food safety, reducing foodborne illnesses, suppliers' commitment to quality specifications, and maintaining guest confidence are considered the most important benefits from implementing a food traceability system. The results also depicted that the challenges managers face implementing or improving a food traceability system included high cost, absence of unified traceability standards between cruise companies and food suppliers, shortage of skilled staff, and lack of knowledge and satisfaction with current foodservice operation systems onboard cruise ships. Other findings elucidated that the critical success factors for implementing traceability included strict food traceability legislation, ensuring the adequacy and correctness of traceability information, adopting a food traceability system by the cruise company management, the standardization of food traceability information identification, and technology support for food traceability systems implementation from government. Other factors were reported of less importance. This research concluded the urgent need for more cooperation between cruise companies, food suppliers, and relevant governmental authorities to adopt food traceability systems and the need of authorizing and setting compulsory standards and regulations.

Application of Blockchain Sharding Technology in Chinese Medicine Traceability System

Traditional Chinese Medicine(TCM)is one of the most promising programs for disease prevention and treatment.Meanwhile,the quality of TCM has garnered much attention.To ensure the quality of TCM,many works are based on the blockchain scheme to design the traceability scheme of TCM to trace its origin.Although these schemes can ensure the integrity,sharability,credibility,and immutability of TCM more effectively,many problems are exposed with the rapid growth of TCM data in blockchains,such as expensive overhead,performance bottlenecks,and the traditional blockchain architecture is unsuitable for TCM data with dynamic growth.Motivated by the aforementioned problems,we propose a novel and lightweight TCM traceability architecture based on the blockchain using sharding(LBS-TCM).Compared to the existing blockchain-based TCM traceability system,our architecture utilizes sharding to develop a novel traceability mechanism that supports more convenient traceability operations for TCM requirements such as uploading,querying,and downloading.Specifically,our architecture consists of a leader shard blockchain layer as its main component,which employs a sharding mechanism to conveniently TCM tracing.Empirical evaluations demonstrated that our architecture showed better performance in many aspects compared to traditional blockchain architectures,such as TCM transaction processing,TCM transaction querying,TCM uploading,etc.In our architecture,tracing TCM has become a very efficient operation,which ensures the quality of TCM and provides great convenience for subsequent TCM analysis and retrospective research.

Security and privacy threats in RFID traceability network

To address security and privacy issues in radio frequency identification (RFID) traceability networks, a multi-layer privacy and security framework is proposed, which includes four facets: a security model, a communication protocol, access permission and privacy preservation. According to the security requirements that are needed in an RFID system, a security model that incorporates security requirements that include privacy of tag data, privacy of ownership, and availability of tag identity is introduced. Using this model, a secure communication protocol that can be used for anti-counterfeiting, automatic identification and privacy preservation is then developed. In order to manage the number of parties, data records of items, and complicated transitions of access permissions in an item-level traceability context, a well-designed access control protocol is proposed to parties that can prove the physical possession of an item;meanwhile, to address the privacy issues during data sharing in an RFID network, a vision of database systems that take responsibility for the privacy of the data they manage is also presented.

Factors that Influence Enterprises' Enthusiasm for Continuously Establishing the Traceability System: An Empirical Analysis of 81 Enterprises in Sichuan

Agro-product enterprises are the mainstay of the traceability system,and are of great importance. We analyze the factors that influence the enthusiasm of agro-product enterprises for continuously establishing traceability system from characteristics of enterprises,environment and performance,using the data of 81 agro-product enterprises in Sichuan province. It shows that the enthusiasm is greatly influenced by enterprises' characters and performance,such as age,ownership,business pattern of enterprises,market breadth,condition of enterprises' traceability system,income,acceptance of consumers,sales volume. Finally we put forward some recommendations,such as consummating the relative policies,increasing the publicity and perfecting performance assessment system.

Requirements Analysis and Traceability at CIM Level

Poernomo suggested an approach for requirement analysis within the CIM level of the MDA framework. His approach combined MEASUR, goal and object oriented analysis, and developed a new methodology that can be integrated within the CIM level of the MDA. This paper adds requirement traceability capabilities to the method developed by Poernomo and applies the extended method on a case study based on a high profile international law firm.

A Food Traceability Framework Based on Permissioned Blockchain

In recent years,food safety problems have become increasingly serious.The traditional supply chain traceability solution faces some serious problems,such as centralization,data tampering,and high communication costs.To solve these problems,this paper proposes a food traceability framework based on permissioned blockchain.The proposed framework is decentralized,and the supply chain data of the framework cannot be tampered with.The framework divides supply chain entities into five organizations,and each organization deploys its own chaincode onto the blockchain.The chaincode specifies the query permission of each organization,which can effectively protect the user’s sensitive information.The PBFT consensus algorithm adopted by the framework improves the performance of processing transactions.The transactional throughput experiment shows that the proposed framework can achieve a high number of transactions per second.Query efficiency experiment demonstrates that the framework has lower query latency and good user experience.

Government drive,economic induction,and construction of food traceability systems:An empirical study based on supermarket samples from 'first-tier' and 'Olympic' cities in China

Food traceability systems are capable of overcoming or alleviating problems caused by incomplete and asymmetric information on food markets.This study conducts an empirical analysis using 308 supermarket samples from China's Beijing,Guangzhou,and Qingdao to determine the factors that influence supermarket behavior when operating traceability systems.The results show that operating profits(generated from food traceability systems),scale of operation,level of economic development(of a city),and government subsidies will positively affect the decision of supermarkets to use traceability systems.At the same time,government policies promoting food traceability systems should have a long-term role.