Behavior Analysis for Electronic Commerce Trading Systems: A Survey

Zhao, Peihai; Ding, Zhijun; Wang, Mimi; Cao, Ruihao

doi:10.1109/access.2019.2933247

Cited by 17 publications

(12 citation statements)

References 322 publications

(231 reference statements)

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“…For marking M (0) , we have Pr M (0) (t1) = Pr M (0) (t3) = Pr M (0) (no firing) = 1/3. For marking M (1) , we have Pr M (1) (t4) = Pr M (1) (no firing) = 1/2. For marking M (2) , we have Pr M (2) (t2) = Pr M (2) (t5) = Pr M (2) (no firing) = 1/3.…”

Section: B Vulnerability Evaluationmentioning

confidence: 99%

“…In Fig. 6(a), we know that observation α occurs via a transition sequence of (t1t2) * t3 or (t1t2) * t5, which leads to the marking M (1) or M (3) . We can calculate the unnormalized probabilities p (1) u (α) and p (3) u (α) as follows:…”

Section: B Vulnerability Evaluationmentioning

confidence: 99%

“…With the development of e-commerce, an increasing number of people are paying attention to the study of economic systems. Due to the imperfect nature of the e-commerce system itself, there are many problems in managing e-commerce systems [1]. There are some useful modeling methods to describe e-commerce systems, such as those of [2]- [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

2020

Self Cite

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E-commerce transaction systems have become an important factor in trading activities. However, e-commerce systems are still undergoing development. Unobservable actions and attacks on systems are frequent problems that increase the vulnerability of e-commerce systems. Most existing approaches to addressing these issues cannot describe or analyze the overall structure of a local specification and unobservable actions well. The vulnerable e-commerce transaction net (VET-net) is a useful model for describing the unobservable actions, online transactions and third-party payment platforms of e-commerce systems. Based on a VET-net, we focus on the detection and evaluation of e-commerce transaction systems to attacks. We propose the concept of vulnerable transitions, which include not only vulnerable actions but also unobservable transitions. Then, we use an improved slice method to locate the vulnerable transitions. For these vulnerable transitions, we propose a vulnerable transition evaluation method based on a hidden Markov model along with a reachability graph (HMM-RG). The HMM-RG uses hidden Markov models (HMMs) to approximate the state reachability graph of a VET-net. By calculating the firing probability, the HMM-RG can evaluate the vulnerability degree of malicious states. We use a real-world case to show our method's effectiveness and reasonability.

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Section: B Vulnerability Evaluationmentioning

confidence: 99%

Section: B Vulnerability Evaluationmentioning

confidence: 99%

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

2020

Self Cite

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“…Moreover, a method of behavioral consistency has been proposed that is centered on the process profile and can be calculated in polynomial time. An exploration has been commenced to analyze the behaviors of e-commerce organizations [20]. The primary focus is on analyzing both system behavior and user behavior in the context of e-commerce trading systems.…”

Section: Related Workmentioning

confidence: 99%

A Pragmatic Algorithm for Attack Prevention on Semantic Web Services

Nayak,

Singh

2019

IJEAT

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In this digital age, semantic Web services have emerged as services that are used in every field. Today various types of services like e-commerce, social networking, and online payment of various services, etc., are used by the user through the Semantic Web. The Semantic Web has emerged as a powerful medium for using online services. The use of semantic Web services greatly simplified the life of the common citizen. The database is used to hoard information related to various services provided by Semantic Web Services. It turns out to be indispensable that when a user communicates with the database then there should not be any interference in it. The expansion of semantic Web services led various assailants to start making various efforts to stop these services. The network assail for instance Man-in-middle or DoS assail has adverse effect on the performance of the Web service. This paper insinuates a principle server of ARP algorithm that uses IP-MAC trussing approach on the network to prevent Man-in-the-middle and DoS assail within a entreaty succumbed to the Web service. Aftermath revelations that after implementing the algorithms, the number of packet loss reduces drastically and enhancing the overall performance of Web service. The staple objective of this paper is how the services bestowed by the Web service can be protected from assailant.

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“…Behavioral analytics is none other than a tool to predict the actions taken by the user [8]. It becomes extremely important when an essential quantity of highly sensitive data to be handled.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce

Alojail

Bhatia

2020

IEEE Access

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The era of E-commerce and availability of data in every field of operations in an enormous volume that implies to Big Data is one of the biggest sources of competitive advantage for the organizations in this digital world. It provides useful information to grow businesses by posting the advertisement and help consumers find the relevant product according to their preferences. The focus of this research is on the advertisement strategies analysis under which a Business employs several online advertisement strategies in order to appeal to the consumer. This research work will present a detailed analysis in user behavioral to use for business or Online Behavioral advertising and provide the framework of how Enterprise Resource Planning systems track the targeted audience and show their content. The paper's prime objective is to classify and effectively run targeted advertising using the data that shows user's retail behavior. This is where an Enterprise Resource Planning driven data will give rise to behavioral analytics. In addition to this, various data streaming technologies are also emphasized that will help to create a pipeline for the huge amount of data in Enterprise Resource Planning's database.

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Behavior Analysis for Electronic Commerce Trading Systems: A Survey

Cited by 17 publications

References 322 publications

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

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

A Pragmatic Algorithm for Attack Prevention on Semantic Web Services

A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce

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