دانلود رایگان ترجمه مقاله بررسی جدید تکنیک های شناسایی تقلب های کارت اعتباری – Ijcsmc 2014
دانلود رایگان مقاله انگلیسی + خرید ترجمه فارسی | |
عنوان فارسی مقاله: |
مروری بر فنون مختلف تشخیص جعل کارت اعتباری |
عنوان انگلیسی مقاله: |
A Revived Survey of Various Credit Card Fraud Detection Techniques |
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مشخصات مقاله انگلیسی (PDF) | |
سال انتشار | ۲۰۱۴ |
تعداد صفحات مقاله انگلیسی | ۱۲ صفحه با فرمت pdf |
رشته های مرتبط با این مقاله | مهندسی فناوری اطلاعات و کامپیوتر |
گرایش های مرتبط با این مقاله | تجارت الکترونیک، هوش مصنوعی، شبکه های کامپیوتری |
چاپ شده در مجله (ژورنال) | مجله بین المللی علوم کامپیوتری و محاسبات موبایل – International Journal of Computer Science and Mobile Computing |
کلمات کلیدی | روش های تشخیص کلاه برداری کارت اعتباری، کلاه برداری در کارت اعتباری، تجارت الکترونیک |
ارائه شده از دانشگاه | موسسه تکنولوژی و مدیریت انانپورا، فرید آباد |
رفرنس | دارد ✓ |
کد محصول | F994 |
نشریه | Ijcsmc |
مشخصات و وضعیت ترجمه فارسی این مقاله (Word) | |
وضعیت ترجمه | انجام شده و آماده دانلود |
تعداد صفحات ترجمه تایپ شده با فرمت ورد با قابلیت ویرایش | ۱۸ صفحه با فونت ۱۴ B Nazanin |
ترجمه عناوین تصاویر و جداول | ترجمه شده است ✓ |
ترجمه متون داخل تصاویر | ترجمه نشده است ☓ |
ترجمه متون داخل جداول | ترجمه شده است ✓ |
درج تصاویر در فایل ترجمه | درج شده است ✓ |
درج جداول در فایل ترجمه | درج شده است ✓ |
منابع داخل متن | به صورت عدد درج شده است ✓ |
کیفیت ترجمه | کیفیت ترجمه این مقاله متوسط میباشد |
توضیحات | ترجمه این مقاله به صورت خلاصه انجام شده است. |
فهرست مطالب |
چکیده |
بخشی از ترجمه |
چکیده I. مقدمه |
بخشی از مقاله انگلیسی |
Abstract As there is a vast advancement in the E-commerce technology, the use of credit cards has grown up. The credit card has become the crucial mode of payment so with the rise in the credit card transactions, the credit card frauds have also become frequent nowadays. [1] Thus, an improved fraud detection system has become essential to maintain the reliability of the payment system. The criterion is to assure secured transactions for credit card owners so that they can make electronic payment safely for the services and goods which are provided on internet. In an e-bank many transactions undergo simultaneously, so a fraud detection system should distinguish between legitimate, suspicious fraud and an illegitimate transaction.[4] There are many modern and new techniques which are based on Neural Network, Artificial Intelligence, Bayesian Network, Data mining, Artificial Immune System, K- nearest neighbor algorithm, Decision Tree, Fuzzy Logic Based System, Support Vector Machine, Machine learning, Genetic Programming etc., that has developed in detecting various credit card fraudulent transactions. This paper represents a survey of various techniques which are used in credit card fraud detection mechanisms. I. INTRODUCTION E-commerce payment systems have become increasingly popular due to the widespread use of the internet-based shopping and banking. [4] Credit Card Fraud is one of the largest threats to business organizations today. However, to overpower the fraud effectively, it is important to first understand the mechanisms of executing a fraud i.e. we need to understand the techniques of cyber credit card frauds. [1] Since earlier the fraud is detected only when the billing for credit card is done, it is very hard to prevent fraudulent transactions. Therefore the need to assure unexposed transactions for credit-card owners when using their credit cards to make electronic payments for goods and services provided on the internet is a criterion. Types of Frauds:- The credit-card fraud is divided into two types; (i) The online credit card fraud (or no card present fraud) and (ii) The offline credit card fraud (card present fraud) The online credit-card fraud (also known as cyber credit card fraud) is committed with no presence of a credit-card but instead, the use of a credit-card information to make electronic purchase for goods and services on the internet. [4] The offline credit-card fraud is committed with the presence of a credit-card which in most cases have been stolen or fake and thereby used at a local store or a physical location for the purchase or some goods or services. There are many cyber credit card fraudsters. Some of them are [1]: (i) Credit-card information buyers: these are the fraudsters who either have little or no professional computer skills like computer programming, networking etc. They buy stolen or hacked credit card information on an illegal credit card sales website, with the intension of buying goods and products online. (ii) Physical credit-card stealers: these are the fraudsters who physically steal credit cards may be by pick pocketing and use the information on it for making e-payment on internet for shopping. (iii) Black hat hackers: “Black hat hackers” which are also known as a cracker are those who violate computer security with malevolent intentions or for personal gains. They choose their targets using a two-pronged process known as the “pre-hacking stage”; which includes Targeting, Research and Information Gathering and finally finishing the Attack. These hackers are highly skilled in Computer Programming and Computer Networking and with such skills they can barge in a network of computers. The main purpose of their act of intrusion or hacking is to steal personal or private information such as credit-card information, bank-account information, etc. for their own personal gains. |