Petri net-based methods for analyzing structural security in e-commerce business processes

Yu, Wangyang; Ding, Zhijun; Liu, Lu; Wang, Xiaoming; Crossley, Richard

doi:10.1016/j.future.2018.04.090

Cited by 23 publications

(14 citation statements)

References 22 publications

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“…However, most of these researches are to simulate the business process of e-commerce transactions. Then, they analyse the rationality of their models so as to ensure the transaction properties of the e-commerce business process, rather than use some formal modeling tools to assist outlier analysis and decision-making [26][27][28]. It is essential to use formal methods to model and analyse the information exchange in a trading process of e-commerce transactions.…”

Section: Related Workmentioning

confidence: 99%

A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking

Wang

Teng

et al. 2022

Wireless Communications and Mobile Computing

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With the development of smart devices and mobile communication technologies, e-commerce has spread over all aspects of life. Abnormal transaction detection is important in e-commerce since abnormal transactions can result in large losses. Additionally, integrating data flow and control flow is important in the research of process modeling and data analysis since it plays an important role in the correctness and security of business processes. This paper proposes a novel method of detecting abnormal transactions via an integration model of data and control flows. Our model, called Extended Data Petri net (DPNE), integrates the data interaction and behavior of the whole process from the user logging into the e-commerce platform to the end of the payment, which also covers the mobile transaction process. We analyse the structure of the model, design the anomaly detection algorithm of relevant data, and illustrate the rationality and effectiveness of the whole system model. Through a case study, it is proved that each part of the system can respond well, and the system can judge each activity of every mobile transaction. Finally, the anomaly detection results are obtained by some comprehensive analysis.

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Section: Related Workmentioning

confidence: 99%

A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking

Wang

Teng

et al. 2022

Wireless Communications and Mobile Computing

Self Cite

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“…Trust is the prerequisite for consumers to maintain online shopping loyalty. Yu et al [24] believed that e-commerce business processes adopt a structure of multiple participants, including shopping customers, merchants, third-party payment platforms, and banks. e communication between these participants relies on web services and application programming interfaces.…”

Section: Related Workmentioning

confidence: 99%

The Mechanism of Evolution and Balance for e-Commerce Ecosystem under Blockchain

ZhuanSun

Chen

et al. 2021

Scientific Programming

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With the development of society, e-commerce competition has become increasingly intense and has ascended to the level of the ecosystem. Therefore, it is extremely significant to study the mechanism of evolution and balance for the e-commerce ecosystem. Simultaneously, blockchain technology is essentially a consensus mechanism, the core idea of which is decentralization, but it is actually the deconstruction of privileges and authority. Especially, the influence on the e-commerce ecosystem cannot be underestimated. Blockchain technology ultimately changes not only technology, but a comprehensive reconstruction of various industries. Building an e-commerce information ecosystem based on blockchain can promote the healthy and sustainable development of e-commerce information ecology. This work combines the definition and technical characteristics of blockchain, discusses the blockchain-based e-commerce information ecosystem model, and discusses how to achieve the ecological balance and system evolution of e-commerce under the background of blockchain. According to the internal problems of the e-commerce ecosystem, three evolutionary paths are proposed in this work. First, consider the timeliness of the information and construct a full-process information channel. Second, remove central nodes and build a safe and efficient block payment. Third, solve the blind zone in the field of logistics and create efficient and transparent intelligent logistics. This work can provide an effective reference for the development of e-commerce.

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“…Petri Net is a mathematical model for discrete event systems [3]. Petri Net can model and algebraically analyze transportation networks [4][5] [6], manufacturing systems [7] [8], agriculture [9][10] [11], geography [12] [13], and E-commerce [14] [15]. Petri Net or Petri Network has been designed mainly to be used for modeling.…”

Section: Introductionmentioning

confidence: 99%

Petri Net Model in the Process of Submission for Customer Credit of BPR Lambang Ganda Serang

Octavia

Fitriani

Faisol

2021

BAREKENG: J. Il. Mat. & Ter.

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Petri net-based methods for analyzing structural security in e-commerce business processes

Cited by 23 publications

References 22 publications

A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking

A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking

The Mechanism of Evolution and Balance for e-Commerce Ecosystem under Blockchain

Petri Net Model in the Process of Submission for Customer Credit of BPR Lambang Ganda Serang

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