Mobile fraud detection and prevention


Mobile fraud detection encompasses a set of technologies and reports that help mobile marketers identify fraud. Whereas mobile fraud protection uses a variety of rules and signals to actively block fraud in real-time, many advanced types of fraud require deeper analysis to detect.

Mobile devices have rapidly evolved over the past several years. From this small, handheld device, your customers can request a ride, conduct a video conference, apply for a loan or transfer money. As more online business is conducted via mobile, fraudsters are increasingly targeting mobile transactions.

Detection of Fraud in the ranking of Mobile Apps
free download

The ranking fraud in the mobile Apps market leads to misleading and illusive activities which is used in keeping more and more Apps in the popularity list. The developers such as posting unauthentic App ratings, for the purpose of ranking, used many of the misguiding

Fraud Detection of Mobile Apps
free download

These days everyone is using smart phones. There is necessity of various applications to be installed on smart phone. To download application smart phone user has to visit play store such as Google Play Store. Mobile App is a very popular and well known concept due to the

UNMASKING FRAUDULENT RANKING OF MOBILE APPLICATIONS
free download

This fraudulent representation of mobile app ratings will be discerned in this paper by detecting the leading sessions of the App at which the fraudulent ratings are depicted Furthermore, all the evidence for the detection of the fraud is integrated by optimization based

Elimination of fraud by optimization to integrate evidences in mobile play store applications
free download

with the analysis of Apps ranking behaviors, we find that the fraudulent Apps often have latent relationship among rating, review and rankings.We extended our ranking fraud detection approach with J. Pei, and Z. Tang, A spamicity approach to web spam detection , in Proc

Semantic Analysis of App Review for Fraud Detection using Fuzzy Logic
free download

PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection , IEEE International Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen, Discovery of Ranking Fraud for Mobile

Discovery of Fraud Apps utilizing Sentiment Analysis
free download

In paper proposed ranking fraud detection system for mobile Apps . Specifically, they first showed that ranking fraud happened in leading sessions and provided a ranking based evidences, rating based evidences and review based evidences for detecting ranking fraud

Detection of Fraud in the ranking of Mobile Apps
free download

The ranking fraud in the mobile Apps market leads to misleading and illusive activities which is used in keeping more and more Apps in the popularity list. The developers such as posting unauthentic App ratings, for the purpose of ranking, used many of the misguiding

App Store with Counterfeit Activity Detection and Restriction System
free download

PROPOSED SYSTEM To detect the fraudulent app in the app store we have contrived a method calledranking fraud detection system for mobile First, ranking fraud does not always happen in the whole life cycle of an App , so we need to detect the time when fraud happens

Uncovering of Phoney Assessment for Mobile Apps
free download

Therefore, the problem of detecting ranking fraud is to detect fraudulent leading sessions Further, an optimization based aggregation method combines all the three evidences to detect the fraud B. Zhou, J. Pei, and Z. Tang, A spamicity approach to web spam detection , in Proc

N enhanced technique for ranking fraud discovery for mobile apps
free download

G. Pradesh Ranking Fraud Detection Using Opinion Mining for Mobile Apps ||International Advanced V.-A. Nguyen, N. Jindal, B. Liu, and HW Laue, Detecting product review Mano.R An Enhanced Mining Leading Session Algorithm For Fraud App Detection In Mobile

DISCOVERY of RANKING FRAUD
free download

This analysis helps in finding fraudulent apps in a leaderboard evidences can be modelled by statistical hypothesis tests, thus it is easy to be extended with other evidences from domain knowledge to detect ranking fraud Survey on web spam detection : principles and algorithms

Fair Play Technology Using In Search Rank Fraud and Malware Detection in Google Play
free download

Fraudulent developers frequently exploit We call this behavior search rank fraud Previous mobile malware detection work has focused on dynamic analysis of app executables as well as static analysis of code and permissions

Fraud App Detection using Fuzzy Logic Model Based on Sentiment of
free download

Detecting Spam Webpages through

VBu on: Practical A estation of User-driven Operations in Mobile Apps
free download

Consequently, fraudulent requests often cause remarkable damage to service providers while bringing considerable revenue to attackers Anomaly/ Fraud Detection : Server-side anomaly or fraud de- tections, especially those using machine learning [2 28], are use

Detection of Ranking Fraud in Mobile Applications
free download

integrated to get an aggregated result which is most reliable in finding a fraudulent application A taxi driving fraud detection system, in Survey on web spam detection : Principles and algorithms, SIGKDD Explor

Discovering Fraudulent Behaviors in Google App Stories
free download

2.2 Opinion Fraud Detection in Online Reviews by Network Effects (2013) This paper proposes a fast and effective framework, FRAUD EAGLE, for spotting fraudulent developers and fake reviews in online review datasets

Proactivity or Retroactivity Evaluating the Benefits of Using Proactive Transformed-domain-based Techniques in Fraud Detection Tasks
free download

fraud detection system to operate also in absence of previous fraudulent transactions future work could involve the design and development of a fraud detection system exclu partially funded by Regione Sardegna under project Next generation Open Mobile Apps De- velopment

A Survey on Online Click Fraud Execution and Analysis
free download

Click fraud is a fraudulent method that is quite prevalent room to individuals or organizations to generate and give rise to false clicks also known as click fraud This paper prevents the automated click frauds using detection techniques that are executed post the fraud execution

An empiric path towards fraud detection and protection for NFC-enabled mobile payment system
free download

supervised techniques. 2.2. Description of NFC-Enabled Mobile Payment Fraud Detection Ecosystem To prevent fraudulent transaction, we propose an NFC-enabled mobile payment fraud detection ecosystem. The fraud

Mobile Wallet Payments Recent Potential Threats and Vulnerabilities with its possible security Measures
free download

The Possible Vulnerabilities of Mobile Wallet Apps are: Hardcoded secrets as private keys. Missing to disable code debugging routines. Unsigned production binaries Payment fraud : Payment fraud detection should occur at fraudulent mobile payments transactions

Fraud Detection of Mobile Apps
free download

These days everyone is using smart phones. There is necessity of various applications to be installed on smart phone. To download application smart phone user has to visit play store such as Google Play Store. Mobile App is a very popular and well known concept due to the

Behavior Language Processing with Graph based Feature Generation for Fraud Detection in Online Lending
free download

BLP with Graph Analysis for Online Lending Fraud Detection edges with two fraud – ulent nodes / the expected number of edges with two fraud – ulent nodes Dyadicity > indicates that fraudulent nodes are connected more densely among themselves than a random simulation


COMMENT computer-science



FREE IEEE PAPER