Real Time Online Banking Fraud Detection Using Location Information

2011 ◽  
pp. 770-772 ◽  
Author(s):  
Nadeem Akhtar ◽  
Farid ul Haq
Keyword(s):  
Real Time ◽  
Fraud Detection ◽  
Online Banking ◽  
Location Information

scholarly journals Phone-Based Restaurant Recommendation System by Using Position Information and Association Rules

2012 ◽  
Vol 6-7 ◽  
pp. 783-789
Author(s):  
Jian Feng Dong ◽  
Tian Yang Dong ◽  
Jia Jie Yao ◽  
Ling Zhang
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Association Rules ◽  
Recommendation System ◽  
Rapid Development ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Position Information ◽  
The Real

With the rapid development of smart-phone applications, how to make the ordering process via smart-phones more convenient and intelligent has become a hotspot. This paper puts forward a method of restaurant dish recommendation relying on position information and association rules. In addition, this paper has designed and developed a restaurant recommendation system based on mobile phone. The system would fetch the real-time location information via smart-phones, and provide customers personalized restaurant and dish recommendation service. According to the related applications, this system can successfully recommend the related restaurants and food information to customers.

Prevention, Detection, and Recovery of CSRF Attack in Online Banking System

2017 ◽  
pp. 172-188
Author(s):  
Nitin Nagar ◽  
Ugrasen Suman
Keyword(s):  
Real Time ◽  
Banking System ◽  
Online Banking ◽  
Banking Systems ◽  
Removal And Recovery ◽  
Cross Site

Online banking system has created an enormous impact on IT, Individuals, and networking worlds. Online banking systems and its exclusive architecture have numerous features and advantages over traditional banking system. However, these new uniqueness create new vulnerabilities and attacks on an online banking system. Cross-site scripting request forgery or XSS attack is among the top vulnerabilities, according to recent studies. This exposure occurs, when a user uses the input from an online banking application without properly looking into them which allows an attacker to execute malicious scripts into the application. Current approaches use to mitigate this problem, especially on effective detection of XSS vulnerabilities in the application or prevention of real-time XSS attacks. To address this problem, the survey of different vulnerability attacks on online banking system performed and also presents a concept for the prevention, detection, removal and recovery of XSS vulnerabilities to secure the banking application.

RFID Indoor Localization Using Master-Slave Reference Tags Scheme for Manufacturing Environment

2014 ◽  
Author(s):  
Shilong Zhang ◽  
Quan Liu ◽  
Wenjun Xu ◽  
Zaiqun Liu
Keyword(s):  
Real Time ◽  
Manufacturing Process ◽  
Indoor Localization ◽  
Physical Object ◽  
Location Information ◽  
Localization Algorithm ◽  
System Load ◽  
Indoor Location ◽  
Time Performance ◽  
Reference Tags

In manufacturing process, the indoor location information of physical object is an essential part in storage and transport link. The efficient perception of indoor location is able to significantly reduce the system load and also improves its real-time performance. In this paper, a novel RFID indoor localization algorithm using Master-Slave reference tags scheme (MSRT) is presented. The algorithm divides the sensing area into several subspaces with master reference tags to realize rough location. In each subspaces, slave reference tags are used to perform partial location. A set of experiments have been conducted and the results demonstrate that the proposed method can reduce system redundancy and server load without decrement of accuracy.

scholarly journals IoT in Online Banking

2021 ◽  
Vol 2 (4) ◽  
pp. 219-222
Author(s):  
Malti Bansal ◽  
Naman Oberoi ◽  
Mohd. Sameer
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Market Share ◽  
Online Banking ◽  
Huge Amount ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Banking Institutions ◽  
Physical Objects

As we know, there are so many changes arriving right now ion the banking industries which are really complex industries. Every day, huge amount of data is processed and gathered. With this increase in size, it is becoming more difficult for banking institutions to manage this data and handle other segments of their business. This paper presents the scope of IoT in the banking domain and how various transformations could potentially bring game changing reforms in the traditional methodology. Banking institutions need to integrate IoT in their systems to increase their market share by providing services catered to a clients need based on the data that’s being processed in real time. In future, IoT will be able to create such technologies which will be able to connect physical objects so that objects can do their own intelligent decision making.

scholarly journals Positive Train Control (PTC): Calculating Benefits and Costs of a New Railroad Control Technology

2010 ◽  
Author(s):  
Randolph R. Resor ◽  
Michael E. Smith ◽  
Pradeep K. Patel
Keyword(s):  
Real Time ◽  
Point Of View ◽  
Class I ◽  
Location Information ◽  
Service Reliability ◽  
Economic Point ◽  
Track Maintenance ◽  
The Road ◽  
Train Control ◽  
Positive Train Control

The purpose of this analysis was to quantify the business benefits of Positive Train Control (PTC) for the Class I freight railroad industry. This report does not address the safety benefits of PTC. These were previously quantified by the Rail Safety Advisory Committee (RSAC), which identified nearly a thousand "PPAs" (PTC-preventable accidents) on U.S. railroads over a 12-year period, and determined the savings to be realized from each avoided accident. The RSAC finding was that avoidance of these PPAs was not, by itself, sufficient (from a strictly economic point of view) to justify an investment in PTC. Examples of potential business benefits include: * Line capacity enhancement * Improved service reliability * Faster over-the-road running times * More efficient use of cars and locomotives (made possible by real-time location information) * Reduction in locomotive failures (due to availability of real-time diagnostics) * Larger "windows" (periods during which no trains operate and maintenance workers can safely occupy the track) for track maintenance (made possible by real-time location information) * Fuel savings This paper presents the results of the analysis. It is important to recognize, however, that the state of the art in making these estimates is not sufficiently mature to make exact answers feasible. Presented here are the best estimates now possible, with observations as to how better information may be developed. Benefits were estimated in the above areas and the cost of deploying PTC on the Class I network (99,000 route miles and 20,000 locomotives) were calculated. The conclusions of the analysis were as follows: * Deployment of PTC on the Class I railroad network (99,000 route miles, 20,000 locomotives) would cost between $2.3 billion and $4.4 billion over five years * Annual benefits, once the system was fully implemented, were estimated at $2.2 billion to $3.8 billion * Internal rate of return was estimated (depending on timing and cost) to be between 44% and 160%

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