Crowdsourcing for click fraud detection
نویسندگان
چکیده
منابع مشابه
Click Fraud Detection on the Advertiser Side
Click fraud—malicious clicks at the expense of pay-per-click advertisers—is posing a serious threat to the Internet economy. Although click fraud has attracted much attention from the security community, as the direct victims of click fraud, advertisers still lack effective defense to detect click fraud independently. In this paper, we propose a novel approach for advertisers to detect click fr...
متن کاملClick Fraud
T oday, Web search engines are the primary method for millions of users throughout the world to access information on a topic, navigate to Web sites, keep up with the news, and shop online. Most major search engines generate revenue via sponsored search, a process whereby content providers pay for traffic from specific links the search engine's display in response to user queries. Search engine...
متن کاملClick Fraud
Click fraud" is the practice of deceptively clicking on search ads with the intention of either increasing third-party website revenues or exhausting an advertisers budget. Search advertisers are forced to trust that search engines do everything possible to detect and prevent click fraud even though the engines get paid for every undetected fraudulent click. We seek to answer whether it is in ...
متن کاملClick Fraud Resistant Methods for Learning Click-Through Rates
In pay-per-click online advertising systems like Google, Overture, or MSN, advertisers are charged for their ads only when a user clicks on the ad. While these systems have many advantages over other methods of selling online ads, they suffer from one major drawback. They are highly susceptible to a particular style of fraudulent attack called click fraud. Click fraud happens when an advertiser...
متن کاملFraud Detection for Healthcare
Fraud detection in healthcare is an important yet difficult problem. We present a fraud screening solution to identify suspicious pharmacies from a large dataset of pharmacy claims. Our solution has stemmed from collaboration with medical claim investigators and proven usefulness to investigators by discovering real fraud cases. We focus on a concrete problem of probabilistic outlier detection ...
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ژورنال
عنوان ژورنال: EURASIP Journal on Information Security
سال: 2019
ISSN: 2510-523X
DOI: 10.1186/s13635-019-0095-1