Vulnerability Evaluation Method for E-Commerce Transaction Systems With Unobservable Transitions

Wang, Mimi; Ding, Zhijun; Zhao, Peihai

doi:10.1109/access.2020.2998132

Cited by 3 publications

(3 citation statements)

References 61 publications

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“…Tough peer-to-peer communication can be done through data replication methods, there are scalability issues in this work. Wang et al [16] work on the evaluation method for ecommerce transaction systems with unobservable transactions. Tis work can be used in the analysis and design of the system for online transaction processes.…”

Section: Related Workmentioning

confidence: 99%

FHAAPS: Efficient Anonymous Authentication with Privacy Preservation Scheme for Farm-to-Home Communication

Rajasekaran

Azees

Yahya

2023

Security and Communication Networks

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With the advancement in information and communication technology (ICT), secure farm-to-home communication has become an emerging concept. Food is the most basic essential commodity for the survival of human beings which is produced by farmers. However, because of the presence of intermediaries, farmers/producers do not make a sufficient profit and also the consumers have to pay more money to buy food items from these mediators. As a result, in this work, we proposed an efficient farm-to-home anonymous authentication privacy-preserving scheme in which the storehouse will buy goods from farmers and sell them to the consumers at the base rate. Moreover, in our scheme, an unprofitable trusted delivery agent assists in the transfer of food commodities between end users and storehouses to provide maximum profit for the farmers and consumers. Further, essential security parameters are provided to the end users and it provides conditional privacy to the delivery agent; i.e., if any mishap occurs, then the malicious delivery agent’s privacy is revoked to avoid further damage to the system. The performance analysis section shows that our scheme supports the transfer of food commodities with minimum computational and communication costs.

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Section: Related Workmentioning

confidence: 99%

FHAAPS: Efficient Anonymous Authentication with Privacy Preservation Scheme for Farm-to-Home Communication

Rajasekaran

Azees

Yahya

2023

Security and Communication Networks

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“…Even though, there is various research conducted to detect malicious behavior in the e-commerce systems, still open issues exist to detect vulnerabilities. To this end, to identify the malicious behavior in an e-commerce system employing Petri nets are presented in [39,40]. Wang et al proposed a method using hidden Markov models to detect unobservable transitions in e-commerce transactions [39].…”

Section: Figure 3: 3d Secure Methods Diagrammentioning

confidence: 99%

“…To this end, to identify the malicious behavior in an e-commerce system employing Petri nets are presented in [39,40]. Wang et al proposed a method using hidden Markov models to detect unobservable transitions in e-commerce transactions [39]. The method simply constructs a vulnerable e-commerce transaction net which implements labeled Petri nets, detects vulnerabilities and possible attacks, evaluates these vulnerabilities and attacks in the e-commerce system and prevents them before their occurrence.…”

Section: Figure 3: 3d Secure Methods Diagrammentioning

confidence: 99%

Secure E-Commerce Scheme

2022

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E-commerce security has recently been an emerging topic due to the escalation in credit card fraud and stolen user accounts. In general, the security bridge and privacy leakage occur on the side of e-commerce companies due to various factors such as flaws in the design of their storage systems. The stored information of users increases the risk on privacy bridge and to remedy such risks e-commerce companies are forced to make costly investments. The security threats also enforce the development of robust security protocols and methods in digital commerce systems. The current protocols and methods generally bring extra communication and computation costs to all parties involving in the e-commerce system and the security risk on the side of e-commerce companies still remains. In this paper, we propose a Secure E-commerce Scheme (SES) which alleviates the security threats on the side of e-commerce companies and reduces communication costs for all parties. The proposed secure e-commerce protocol, SES, is implemented, analyzed and compared to two well-known schemes; Secure Electronic Transaction (SET) and 3D Secure.INDEX TERMS E-commerce security, security protocol, algorithm development, symmetric key cryptography.

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Analysis of Artificial Intelligence-Based E-Commerce Transaction Anomaly Monitoring Strategies and Their Implementation Effects

Huang,

Nie

2024

Applied Mathematics and Nonlinear Sciences

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The rapid development of e-commerce is accompanied by the problem of a large number of abnormal transactions, and the development of artificial intelligence models has brought the possibility of large-scale real-time monitoring of transaction anomalies. The study integrates the transaction anomaly monitoring method based on the Light GBM model and multi-instance learning model, and trains the constructed combined model based on Taobao data. The average accuracy, precision, recall, and F1 values of the combined model are 0.977, 0.971, 0.973, and 0.972, respectively. The monitoring effect is higher than that of a single model, which indicates that the combined model is more effective in identifying anomalies in e-commerce transactions. The relevant technicians of A e-commerce platform who have used the model said that the implementation effect of the combination model constructed in this paper is more satisfactory.

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Vulnerability Evaluation Method for E-Commerce Transaction Systems With Unobservable Transitions

Cited by 3 publications

References 61 publications

FHAAPS: Efficient Anonymous Authentication with Privacy Preservation Scheme for Farm-to-Home Communication

FHAAPS: Efficient Anonymous Authentication with Privacy Preservation Scheme for Farm-to-Home Communication

Secure E-Commerce Scheme

Analysis of Artificial Intelligence-Based E-Commerce Transaction Anomaly Monitoring Strategies and Their Implementation Effects

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