Asad Ali et al., International Journal of Advanced Trends in Computer Science and Engineering, 10(2), March - April 2021, 1489– 1494 1489 ABSTRACT Agent technology has developed into a sturdy instrument for e-commerce approach in recent years. The use of agent technology in e-commerce systems may address traditional e-commerce weaknesses, respond to the intelligence and individual needs of users, and significantly improve the efficiency of online transactions. There are some weaknesses in the system designed in this paper. The system will be less efficient in order to complete decentralization of the system. Every decentralized node needs to redundantly preserve a huge volume of information that not only takes up a lot of storage space however, it also makes cross-requesting and detail verification ineffective. This writing presents the evaluation of integrity of the e-commerce systems using block-chain and large amounts of data analysis. The fast growth of the Internet, in particular in the well-developed field of e-commerce, has advanced to digital marketing. In order to understand the common code generating conventional file to identify the associated event configuration, we will analyze Improved Practical Byzantine IPBF source code algorithms. The simulation shows the efficiency of the model. Key words: block-chain, e-commerce systems, IPBF, traditional e-commerce 1. INTRODUCTION In physical stores and e-commerce faith plays a prominent role. There is no question that during the buying process buyers will interpret more risk if they lack confidence in the vendors. As previous researchers stated, "trust enhances the creation of e-commerce in all its forms more than technology." The reputation and feedback systems are generally believed to foster the trust, making consumers safe when they purchase on social e-commerce [1]. Note that information cannot always be available, for instance when a new retailer joins the e-commerce industry and an improving infrastructure is unavailable. In these cases, the system should allocate an appropriate reputation to the new supplier, which will enhance its visibility and allow them to interact with established suppliers. As a result, the system is capable of resolving the cold start issue [2]. We are aware of only few researchers which tried to deal with the problem of entrepreneurial credibility setting instead of using a predetermined primary value. The main concept of reputational model modularizing is that relationships between service quality (QoS) characteristics and the maintenance of individual suppliers are initially acquired by samples and then expanded to obtain new vendors' reputational values [2], [3]. Chinese e-commerce innovation capabilities have progressively changed the economic trend and the way in which commodities are circulated and network products, technology and services' innovation capabilities have increased steadily. As the Internet develops quickly, online marketing has come into being, in particular in an environment that widely uses and develops e-commerce [4]. Whether it's traditional online marketing, forums, video retailing, or event marketing, it can be a powerful driving force. Traditional e-commerce becomes tradition due to mobile e-commerce. Traditional e-commerce is primarily based on wired terminal computers, whereas mobile e-commerce is based mainly on intelligent devices such as mobile telephones [5]. It is not confined to the space and the time that the computer terminal can achieve synchronous control and also offer a forum for B2B, B2C, O2O etc. Consideration will therefore be given to data mining technology. The calculation of the collection's similarity is an important element in the recovery of similarity. However, it is extremely difficult and tedious to accurately calculate similarity of the set. Estimation of similarities like set, compared to the accurate calculations, is faster, less costly and reaches a compromise between efficiency and precision [6], E-commerce Network Credibility Modelling Using Block-chain 1 Asad Ali , Bilal Safdar 2 , Tayyaba Raza 2 , Zainab Riaz 3 1 Namseoul University South Korea, asad@nsu.ac.kr 2 University of Agriculture Pakistan, bilalsafdar175@gmail.com 2 University of Agriculture Pakistan, tayyabaraza11@gmail.com 3 National University of Science and Technology Pakistan, zriaz.pg@smme.edu.pk ISSN 2278-3091 Volume 10, No.2, March - April 2021 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse1381022021.pdf https://doi.org/10.30534/ijatcse/2021/1381022021