Amazon & E Bay

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This document discusses security risks in e-commerce. It outlines several points of vulnerability for attackers, including tricking shoppers, snooping their computers by exploiting security weaknesses, sniffing traffic on unencrypted networks, guessing passwords through automation, and launching denial of service attacks to overwhelm servers. The risks include theft of personal and financial information, disruption of services, and potential shutdown of e-commerce businesses.

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COMPARISON BETWEEN AMAZON AND EBAY SECURITY COUNTERMEASURES

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A BRIEF DESCRIPTION OF THE COUNTERMEASURE TAKEN:

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In e commerce, main problem is to be more secure for payment systems and disputation between online merchant and customer. To solve this problem, this paper presents design and implementation of Electronics Payment Gateway for online payment system. In this system, a customer's financial information credit or debit card information is sent directly to a Payment Gateway also called Trusted Third Party, TTP instead of sending it through an online merchant. The Payment Gateway can support more secure for online payment system. In this system, Secure Socket Layer SSL with RivestShamirAdleman RSA is used to enhance more secure connection in payment process. In secure online payment system, end to end encryption is required to maintain the integrity of transactions carried out online. RSA is more secure because its factors are large integers and key size is large, which increases the security. The electronic payment gateway provides the confidentiality by using RSA for online payment transactions and trusted third party to recover the disputation between online merchant and customer. Kyaw Zay Oo "Design and Implementation of Electronic Payment Gateway for Secure Online Payment System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26635.pdfPaper URL: https://www.ijtsrd.com/engineering/information-technology/26635/design-and-implementation-of-electronic-payment-gateway-for-secure-online-payment-system/kyaw-zay-oo

A Survey Paper on Identity Theft in the Internet

ijtsrd

Identity of any internet user is stole in seconds and the user may not aware about it. There are various tools available in the internet which allow anyone to steal data of any particular user, if he she is connected to internet. The attacker is not required to have advanced knowledge about the internet technology or how networking works. Identity theft is a tremendous issue for most Internet clients.. This paper is an attempt to make reader aware about how their identity can be theft in the internet. This work expects to expand the mindfulness and comprehension of the Identity thefts that are and related cheats all through the world. Guruprasad Saroj | Rasika G. Patil ""A Survey Paper on Identity Theft in the Internet"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23966.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23966/a-survey-paper-on-identity-theft-in-the-internet/guruprasad-saroj

E-business,Methods, Function, Formation, Risk, Resources,etc- SNAPDEAL

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Review of the machine learning methods in the classification of phishing attack

journalBEEI

The development of computer networks today has increased rapidly. This can be seen based on the trend of computer users around the world, whereby they need to connect their computer to the Internet. This shows that the use of Internet networks is very important, whether for work purposes or access to social media accounts. However, in widely using this computer network, the privacy of computer users is in danger, especially for computer users who do not install security systems in their computer. This problem will allow hackers to hack and commit network attacks. This is very dangerous, especially for Internet users because hackers can steal confidential information such as bank login account or social media login account. The attacks that can be made include phishing attacks. The goal of this study is to review the types of phishing attacks and current methods used in preventing them. Based on the literature, the machine learning method is widely used to prevent phishing attacks. There are several algorithms that can be used in the machine learning method to prevent these attacks. This study focused on an algorithm that was thoroughly made and the methods in implementing this algorithm are discussed in detail.

IRJET-Content based approach for Detection of Phishing Sites

IRJET Journal

Anjali Gupta, Juili Joshi, Khyati Thakker, Chitra bhole "Content based approach for Detection of Phishing Sites", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net Abstract Phishing is a significant problem involving fraudulent email and web sites that trick unsuspecting users into revealing private information. In this paper, we present the design, implementation, and evaluation of content-based approach to detecting phishing web sites. We also discuss the design and evaluation of several heuristics we developed to reduce false positives. Our experiments show that CANTINA is good at detecting phishing sites, correctly labeling approximately 95% of phishing sites.We are going to implement Revelation of Masquerade Attacks: A Content-Based Approach to Detecting Phishing Web Sites using PHP & MYSQL.Our system will crawl the original site of bank and it will retrieve all URL’s, location of bank’s server and whois information. If user get any email with phishing attack link. Then our system will take that url as input and crawl the link, retrieve all url’s and system will compare these url’s with original banks url database, try to find url’s are similar or not. Then system will find location of Phishing link URL and compare location with original banks location. After that system will find out Whois information of URL.System will analyze the information and show the results to the user.

Galih technologytajudinnoer

IJSRED-V2I4P0

IJSRED

IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.

[IJET V2I5P15] Authors: V.Preethi, G.Velmayil

IJET - International Journal of Engineering and Techniques

In spite of the development of aversion strategies, phishing remains an essential risk even after the primary countermeasures and in view of receptive URL blacklisting. This strategy is insufficient because of the short lifetime of phishing websites. In order to overcome this problem, developing a real-time phishing website detection method is an effective solution. This research introduces the PrePhish algorithm which is an automated machine learning approach to analyze phishing and non-phishing URL to produce reliable result. It represents that phishing URLs typically have couple of connections between the part of the registered domain level and the path or query level URL. Using these connections URL is characterized by inter-relatedness and it estimates using features mined from attributes. These features are then used in machine learning technique to detect phishing URLs from a real dataset. The classification of phishing and non-phishing website has been implemented by finding the range value and threshold value for each attribute using decision making classification. This method is also evaluated in Matlab using three major classifiers SVM, Random Forest and Naive Bayes to find how it works on the dataset assessed

Prevention of Phishing Attacks Based on Discriminative Key Point Features of ...

CSCJournals

Phishing is the combination of social engineering and technical exploits designed to convince a victim to provide personal information, usually for the monetary gain of the attacker (Phisher). Attempts to stop phishing by preventing a user from interacting with a malicious web site have shown to be ineffective. In this paper, present an effective image-based anti-phishing scheme based on discriminative key point features in WebPages. We use an invariant content descriptor, the Contrast Context Histogram (CCH), to compute the similarity degree between suspicious pages and authentic pages. To determine whether two images are similar, a common approach involves extracting a vector of salient features from each image, and computing the distance between the vectors, which is taken as the degree of visual difference between the two images. The results show that the proposed scheme achieves high accuracy and low error rates.

E commerce Security for end Users

Muhammad Faisal Naqvi, CISSP, CISA, AMBCI, ITIL, ISMS LA n Master

Iy2515891593IJERA Editor

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Detecting Phishing using Machine Learning

ijtsrd

Phishing is a social engineering Technique which they main aim is to target the user Information like user id, password, credit card information and so on. Which result a financial loss to the user. Detecting Phishing is the one of the challenge problem that relay to human vulnerabilities. This paper proposed the Detecting Phishing Web Sites using different Machine Learning Approaches. In this to evaluate different classification models to predict malicious and benign websites by using Machine Learning Algorithms. Experiments are performed on data set consisting malicious and benign, In This paper the results shows the proposed Algorithms has high detection accuracy. Nakkala Srinivas Mudiraj ""Detecting Phishing using Machine Learning"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23755.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23755/detecting-phishing-using-machine-learning/nakkala-srinivas-mudiraj

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Digital physical frameworks are the key advancement driver for some spaces, for example, car, flight, mechanical procedure control, and industrial facility mechanization. Be that as it may, their interconnection possibly gives enemies simple access to delicate information, code, and setups. In the event that aggressors gain control, material harm or even damage to individuals must be normal. To neutralize information burglary, framework control and digital assaults, security instruments must be implanted in the digital physical framework. The social building assault layouts are changed over to social designing assault situations by populating the format with the two subjects and articles from genuine precedents while as yet keeping up the point by point stream of the assault as gave in the format. Social Engineering by E-Mail is by a wide margin the most intensely utilized vector of assault, trailed by assaults beginning from sites. The aggressor in this way misuses the set up trust by requesting that consent utilize the organization's remote system office to send an email. A social designer can likewise join mechanical intends to accomplish the assault goals. The heuristic-based discovery method examines and separates phishing site includes and recognizes phishing locales utilizing that data .Based on the robotized examination of the record in the informal organization, you can construct suppositions about the power of correspondence between clients. In view of this data, it is conceivable to compute the likelihood of achievement of a multistep social building assault from the client to the client in digital physical/digital social framework. Furthermore, the proposed social designing assault layouts can likewise be utilized to create social building mindfulness material.

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A counter challenge authentication method is presented for authentication of online users of web applications. The authentication method involves a counter challenge from a user to a web application asking to provide certain information from one or more user details recorded at the time of registration. The user enters his password and logs into the web application only in case the correct answer is received from the web application. This advanced authentication method protects online application users from phishing attacks. An incorrect answer or inability of the web application to provide the correct answer to the challenge is a clear indication of a phishing attack, thereby alerting the user and stopping submission of password to phishers. The authentication method is computer independent and eliminates dependency on two-factor authentication, hardware tokens, client software installations, digital certificates, and user defined seals.

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1. EVALUATION OF SECURITY OF AND

3. e-COMMERCE:

5. Amazon and eBay

7. What are the benefits of e-shopping?

10. What's the risk?

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33. COMPARISON BETWEEN AMAZON AND EBAY SECURITY COUNTERMEASURES

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35. A BRIEF DESCRIPTION OF THE COUNTERMEASURE TAKEN:

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37.

38.

39.

40. PASSWORD POLICY

41.

42.

43.

44.

45.

46. What does the statistics say:

47.

48.

49. Conclusion:

50.

51. THANK YOU

Amazon & E Bay

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