Tuesday, January 14, 2020

A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment

A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment

 
Android Projects Topics

With the growing popularity of online trading sites, reputation systems are increasingly becoming an integral part of C2C ecommerce systems. Reputation systems can collect, aggregate and distribute participant feedback from past actions to encourage sellers' honest behaviors, and effectively avoid cheating behaviors of those dishonest sellers. In such a situation that neither buyers nor sellers are well informed of each other, the reputation system is able to help buyers determine which sellers are more credible. Such as eBay and Taobao[1][2][3][4], they all have their own reputation systems. The world's largest C2C online auction site eBay has a reputation system dealing with feedback information. Upon the completion of each transaction, buyers and sellers have rights to give an rating points(-1, 0, 1)of the other[5]. Each participant will have an identification name, and its evaluation will be given in connection with the transaction name on it. Nowadays, many trading sites are using reputation systems like eBay's, while some of them provide 1-5 rating range or use some other rating scales. Some of them calculate the average feedback rating points while others calculate the cumulative ones. These reputation-rating mechanisms can’t well deal with thereputation slander, the reputation speculation and other means of fraud generally. This leads to the reputation values given by reputation systems can’t effectively reflect the performance of sellers, eventually leading to the average benefit of buyers greatly reduced. In order to deal with the fraud patterns mentioned above, Based on TRUST[8] model, we proposed a new fraud pattern identification and filtering method. It is to find fraud pattern in Time Window Scope and filter out those fraud ratings, Such as plenty of newer buyers give higher ratings over threshold or lower ratings below threshold to a fixed number of sellers, higher ratings over threshold are given by a fixed number of sellers each other, etc. In this way, the reputation value that the buyer computed will show much more fully of the true reputation of the sellers. The experiment results in multi-agent system JADE prove that the method proposed by us can make the sellers get more profit. The organization of the paper is as follows. The second part introduces two kinds of fraud patterns that are very regular and very hard to be recognized in ecommerce system. The third part expounds the anti-fraud method we put forward based on TRUST; part four illuminates the simulation experiment which is based on multi-agent system JADE; part five is the summary of the paper and discusses the next step of our study.

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Friday, January 10, 2020

Students Attendance Checker of Mapúa University

Students Attendance Checker of Mapúa University 

Code Shoppy Android Projects 2020
Abstract—Attendance checking can be tedious as there are hundreds or even thousands of students to be checked every day whether they attend class or not and instances where checking attendances manually just makes it worse. This design aims to create a method of checking the attendances of students withoutthe use of the traditional pen and paper method. The design made use of the RFID tags within the school ID of the students,Raspberry Pi as the processing unit of the system, and an android application that operates the entire system. The results include successes in the functionalities of the design including registration of students and checking of the attendance itself. It can be concluded that the design’s effectiveness enables the professor to check the attendance of the students without the use of the pen and paper method. Click Here Keywords—Attendance checking, RFID, Raspberry Pi, Android Application, Pen and Paper Method 

INTRODUCTION (HEADING 1) 
Recording the attendance of all the students in each class is one of the jobs of a professor. Professors usually check the attendance of their students using the traditional manual method, this includes the use of excel or other applications intheir mobile devices to check the attendance [1]. Doing this everyday often leads to incorrect records because they handle a lot of classes, imagine the burden of collecting those attendance papers every class and every day and compiling them at the end of term to encode it. Often times they misplaceor lose the paper that contains the attendance of their class. Compiling the attendance list is also a problem for them. Compiling and encoding the attendance of their classes proves to be tedious and cumbersome. So in some cases, they encode all of the attendance at the end of term, but to be able to do that they need to compile all the papers that contains the attendance of all of their classes. Imagine the burden of goingthrough all the papers and recording them one by one. Professors usually check the attendance of their classes using Microsoft excel. This is usually done on a laptop or a laboratory desktop. Some professors use their handheld devices like their smartphones or tablets to check the attendance. 

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Since the professors need to check their lists one by one, this method is susceptible to errors. It is both time-consumingand prone to human errors resulting to incorrect records. A similar study has been conducted by Gamboa et, al. (2015), which states that with the school’s growing number of students, checking of student I.D along with the employees takes too much time and hard work, since the guards will have to check each person in the school gate to make sure that they have their IDs with them, and the security is lenient, since the guards only check if the students or employees are wearing an ID before they enter the premises without confirmation if the ID really belongs to that person. Therefore, the client is in need of a system that will update the institution’s ID system for automated identification, attendance, and security purposes. Listed beloware the features the client wants the system to perform for this design; the system must be able to record and show data such as the timestamps of student and faculty, and remarks; the client also wants their school ID and employee ID as a means of attendance to the school premises; the client wants a systemGUI that shows the Student Picture, Year Level, Remarks; the system must be portable that can be moved from one place to another[2]. A queuing problem particularly for large class or participants may occur and is the main statement of the problem of the study for attendance checking proposed by Jun Iio which consists of a mobile device and web application. During the lecture, students may register their attendance intothe mobile device passed around using their signature or picture of oneself. At the end of the period, registration data is sent to the database server and generates an attendance report[3]. Late submission of assessment evaluation forms which includes students' attendance is a problem at a certain university laboratory. Students’ attendance are still checked manually which is time consuming and tedious. 
A paper written by Arbain, Norakmar et. al, (2014) decribes a web-based Laboratory Attendance System (LAS) that utilize RFID and Arduino technology. The hardware system is implemented using RFID devices with Arduino UNO microcontroller board  that can detect the unique ID in the student card and then print the information of the student on LCD panel of the system devices. For the software system, a web-based application is design to provide an interface for user to manage the attendance and laboratory modules such as grading, upload and download contents[4]. The Muffin project proposed and conducted by Čisar,Sanja Maravić et. al, (2016). It makes use of a mobile application on the students' devices, and Arduino Uno board with Bluetooth module and a desktop application. 
The basic idea is that when students want to log in their attendance, all they need to do is send some log in data from the mobile application to the Arduino board, which is then forwarded to the desktop application. The use of Bluetooth technology prevents students from logging in outside the classroom[5]. Different studies incorporated the use of different technologies specially RFID for an attendance system. Collection of information through the RFID is also used in thisstudy but data gathering, storage and monitoring is done using one component which is the Raspberry Pi. An option of using the Android smartphone application may be used in monitoring and output display.