Fraud Prevention in Online Digital Advertising PDF Download

Author: Xingquan Zhu
Publisher: Springer
ISBN: 3319567934
Category : Computers
Languages : en
Pages : 61

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Book Description
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.

Author: Andreas Ramos
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 108

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Book Description
If you pay for advertising in Google, Facebook, Microsoft Advertising, and so on, there are lots of hidden settings. Whether these ad platforms are intentionally fooling you or they're just bad design, nobody knows. But you will pay for useless ads. This is big money. Ad fraud in text and display ads may range from 40 to 80 billion dollars per year. Programmatic advertising will reach 300 billion dollars in 2021 and as much as 90% is fraud. A few examples from the book: - Junk ads in Youtube use up your ad budget- If you're advertising in California, did you know your ads are shown in Argentina and 130+ countries? You pay for those ads- If you don't turn off a setting, your ads will show on websites for porn, violence, and extremists. Those sites get part of the money, so you're financing that stuff. Learn how to block your ads from those sites.- Google recommends what you should bid. Is that accurate? Or just junk numbers? See the data.- See how to monitor your contractors, agency, or staffers.- Lots more in the book.Written in clear English, with easy, step-by-step instructions to change your advertising settings. You will save a great deal of money

Author: Ahmed Hassan Hassan Metwally
Publisher: ProQuest
ISBN: 9780549152927
Category :
Languages : en
Pages : 400

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Book Description
Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise their products, and hence contributes to the well being of e-commerce. Some publishers are dishonest, and use automation to generate traffic to defraud the advertisers. Similarly, some advertisers automate clicks on the advertisements of their competitors to deplete their competitors' advertising budgets. Moreover, some dishonest publishers and advertisers form coalitions to circumvent the fraud detecting techniques.

Author: Tim Hwang
Publisher: FSG Originals
ISBN: 0374721246
Category : Social Science
Languages : en
Pages : 176

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Book Description
From FSGO x Logic: a revealing examination of digital advertising and the internet's precarious foundation In Subprime Attention Crisis, Tim Hwang investigates the way big tech financializes attention. In the process, he shows us how digital advertising—the beating heart of the internet—is at risk of collapsing, and that its potential demise bears an uncanny resemblance to the housing crisis of 2008. From the unreliability of advertising numbers and the unregulated automation of advertising bidding wars, to the simple fact that online ads mostly fail to work, Hwang demonstrates that while consumers’ attention has never been more prized, the true value of that attention itself—much like subprime mortgages—is wildly misrepresented. And if online advertising goes belly-up, the internet—and its free services—will suddenly be accessible only to those who can afford it. Deeply researched, convincing, and alarming, Subprime Attention Crisis will change the way you look at the internet, and its precarious future. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today.

Author: Chamila Kumara Walgampaya
Publisher:
ISBN:
Category : Electronic commerce
Languages : en
Pages : 454

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Book Description
Online search advertising is currently the greatest source of revenue for many Internet giants such as GoogleTM, Yahoo!TM, and BingTM. The increased number of specialized websites and modern profiling techniques have all contributed to an explosion of the income of ad brokers from online advertising. The single biggest threat to this growth is however click fraud. Trained botnets and even individuals are hired by click-fraud specialists in order to maximize the revenue of certain users from the ads they publish on their websites, or to launch an attack between competing businesses. Most academics and consultants who study online advertising estimate that 15% to 35% of ads in pay per click (PPC) online advertising systems are not authentic. In the first two quarters of 2010, US marketers alone spent $5.7 billion on PPC ads, where PPC ads are between 45 and 50 percent of all online ad spending. On average about $1.5 billion is wasted due to click-fraud. These fraudulent clicks are believed to be initiated by users in poor countries, or botnets, who are trained to click on specific ads. For example, according to a 2010 study from Information Warfare Monitor, the operators of Koobface, a program that installed malicious software to participate in click fraud, made over $2 million in just over a year. The process of making such illegitimate clicks to generate revenue is called click-fraud. Search engines claim they filter out most questionable clicks and either not charge for them or reimburse advertisers that have been wrongly billed. However this is a hard task, despite the claims that brokers' efforts are satisfactory. In the simplest scenario, a publisher continuously clicks on the ads displayed on his own website in order to make revenue. In a more complicated scenario. a travel agent may hire a large, globally distributed, botnet to click on its competitor's ads, hence depleting their daily budget. We analyzed those different types of click fraud methods and proposed new methodologies to detect and prevent them real time. While traditional commercial approaches detect only some specific types of click fraud, Collaborative Click Fraud Detection and Prevention (CCFDP) system, an architecture that we have implemented based on the proposed methodologies, can detect and prevents all major types of click fraud. The proposed solution analyzes the detailed user activities on both, the server side and client side collaboratively to better describe the intention of the click. Data fusion techniques are developed to combine evidences from several data mining models and to obtain a better estimation of the quality of the click traffic. Our ideas are experimented through the development of the Collaborative Click Fraud Detection and Prevention (CCFDP) system. Experimental results show that the CCFDP system is better than the existing commercial click fraud solution in three major aspects: 1) detecting more click fraud especially clicks generated by software; 2) providing prevention ability; 3) proposing the concept of click quality score for click quality estimation. In the CCFDP initial version, we analyzed the performances of the click fraud detection and prediction model by using a rule base algorithm, which is similar to most of the existing systems. We have assigned a quality score for each click instead of classifying the click as fraud or genuine, because it is hard to get solid evidence of click fraud just based on the data collected, and it is difficult to determine the real intention of users who make the clicks. Results from initial version revealed that the diversity of CF attack Results from initial version revealed that the diversity of CF attack types makes it hard for a single counter measure to prevent click fraud. Therefore, it is important to be able to combine multiple measures capable of effective protection from click fraud. Therefore, in the CCFDP improved version, we provide the traffic quality score as a combination of evidence from several data mining algorithms. We have tested the system with a data from an actual ad campaign in 2007 and 2008. We have compared the results with Google Adwords reports for the same campaign. Results show that a higher percentage of click fraud present even with the most popular search engine. The multiple model based CCFDP always estimated less valid traffic compare to Google. Sometimes the difference is as high as 53%. Detection of duplicates, fast and efficient, is one of the most important requirement in any click fraud solution. Usually duplicate detection algorithms run in real time. In order to provide real time results, solution providers should utilize data structures that can be updated in real time. In addition, space requirement to hold data should be minimum. In this dissertation, we also addressed the problem of detecting duplicate clicks in pay-per-click streams. We proposed a simple data structure, Temporal Stateful Bloom Filter (TSBF), an extension to the regular Bloom Filter and Counting Bloom Filter. The bit vector in the Bloom Filter was replaced with a status vector. Duplicate detection results of TSBF method is compared with Buffering, FPBuffering, and CBF methods. False positive rate of TSBF is less than 1% and it does not have false negatives. Space requirement of TSBF is minimal among other solutions. Even though Buffering does not have either false positives or false negatives its space requirement increases exponentially with the size of the stream data size. When the false positive rate of the FPBuffering is set to 1% its false negative rate jumps to around 5%, which will not be tolerated by most of the streaming data applications. We also compared the TSBF results with CBF. TSBF uses only half the space or less than standard CBF with the same false positive probability. One of the biggest successes with CCFDP is the discovery of new mercantile click bot, the Smart ClickBot. We presented a Bayesian approach for detecting the Smart ClickBot type clicks. The system combines evidence extracted from web server sessions to determine the final class of each click. Some of these evidences can be used alone, while some can be used in combination with other features for the click bot detection. During training and testing we also addressed the class imbalance problem. Our best classifier shows recall of 94%. and precision of 89%, with F1 measure calculated as 92%. The high accuracy of our system proves the effectiveness of the proposed methodology. Since the Smart ClickBot is a sophisticated click bot that manipulate every possible parameters to go undetected, the techniques that we discussed here can lead to detection of other types of software bots too. Despite the enormous capabilities of modern machine learning and data mining techniques in modeling complicated problems, most of the available click fraud detection systems are rule-based. Click fraud solution providers keep the rules as a secret weapon and bargain with others to prove their superiority. We proposed validation framework to acquire another model of the clicks data that is not rule dependent, a model that learns the inherent statistical regularities of the data. Then the output of both models is compared. Due to the uniqueness of the CCFDP system architecture, it is better than current commercial solution and search engine/ISP solution. The system protects Pay-Per-Click advertisers from click fraud and improves their Return on Investment (ROI). The system can also provide an arbitration system for advertiser and PPC publisher whenever the click fraud argument arises. Advertisers can gain their confidence on PPC advertisement by having a channel to argue the traffic quality with big search engine publishers. The results of this system will booster the internet economy by eliminating the shortcoming of PPC business model. General consumer will gain their confidence on internet business model by reducing fraudulent activities which are numerous in current virtual internet world.

Author: Papadakis, Stylianos
Publisher: IGI Global
ISBN: 179984806X
Category : Business & Economics
Languages : en
Pages : 270

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Book Description
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

Author: Bob Hoffman
Publisher:
ISBN: 9780979688515
Category :
Languages : en
Pages : 65

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Book Description
The Ad Contrarian, Getting beyond the fleeting trends, false goals, and dreadful jargon of contemporary Advertising, originally published in 2007 is now available in this new expanded and revised edition.

Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
ISBN: 152257767X
Category : Business & Economics
Languages : en
Pages : 818

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Book Description
As businesses aim to compete internationally, they must be apprised of new methods and technologies to improve their digital marketing strategy in order to remain ahead of their competition. Trends in entrepreneurship that drive consumer engagement and business initiatives, such as social media marketing, yields customer retention and positive feedback. Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship provides information on emerging trends in business innovation, entrepreneurship, and marketing strategies. While highlighting challenges such as successful social media interactions and consumer engagement, this book explores valuable information within various business environments and industries such as e-commerce, small and medium enterprises, hospitality and tourism management, and customer relationship management. This book is an ideal source for students, marketers, social media marketers, business managers, public relations professionals, promotional coordinators, economists, hospitality industry professionals, entrepreneurs, and researchers looking for relevant information on new methods in digital marketing and entrepreneurship.

Author: Min Chen
Publisher:
ISBN:
Category : Advertising
Languages : en
Pages : 290

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Book Description
The third essay analyzes click fraud in a setting wherein a neutral third party investigates the disagreements between the SP and the advertiser. I consider two investigation payment schemes, the SP-pay scheme (SS) and the advertiser-pay scheme (AS) and find the following results: first, the two parties can never be both better off in SS. Second, the advertiser may also benefit from the SP's choice of AS if the investigation cost is moderate and the SP's incentive problem is more severe in the AS. Third, when the advertiser's incentive problem is more severe in both schemes, although the sum of the SP's and advertiser's profits are higher in AS, the SP always prefers SS because he can increase his profits by "hurting" the advertiser more in the SS.

Author: Alan Charlesworth
Publisher: Taylor & Francis
ISBN: 1000770567
Category : Business & Economics
Languages : en
Pages : 472

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Book Description
Digital Marketing: A Practical Approach provides a step-by-step and comprehensive guide to implementing the key aspects of digital marketing. Building on the previous editions, this fully updated fourth edition takes an approach that prepares students for an active role in digital marketing. As well as topic-based exercises, the text also includes practical case-study exercises – based on theory and recognized good practice – which will ensure that readers will be able to analyse situations within the work place, identify the most appropriate course of action and implement the strategies and tactics that will help the organization meet its online objectives. Key updates to the new edition include: The role of the digital influencer Direct to Consumer (DTC) and omni-channel retailing Individuals’ privacy and the role of organizations in gathering and storage of their personal data Ethical aspects of digital marketing and its impact on the environment SEO and Google’s development of the ‘zero click’ Online ad fraud Updated online resources available via the author’s own site This essential text equips advanced undergraduate, postgraduate and executive education students with the tools to undertake any digital marketing role within a variety of organizations. Comprehensive support material available online for both students and instructors includes links to articles and opinion pieces, PowerPoint lecturer slides and questions based on the chapter material.