نتایج جستجو برای: financial spam
تعداد نتایج: 149510 فیلتر نتایج به سال:
Unsolicited emails, known as spam, are one of the fast growing and costly problems associated with the Internet today. Among the many proposed solutions, a technique using Bayesian filtering is considered as the most effective weapon against spam. Bayesian filtering works by evaluating the probability of different words appearing in legitimate and spam mails and then classifying them based on t...
With the growing popularity of VoIP and its large customer base, the incentives of telemarketers for voice spam has been increasing in the recent years. If the threat of voice spam remains unchecked, it could become a problem as serious as email spam today. Compared to email spam, voice spam will be much more obnoxious and time consuming nuisance for telephone subscribers to filter out. In this...
The problem of spam e-mail has gained a tremendous amount of attention. Although entities tend to use e-mail spam filter applications to filter out received spam e-mails, marketing companies still tend to send unsolicited emails in bulk and users still receive a reasonable amount of spam e-mail despite those filtering applications. This work proposes a new method for classifying emails into spa...
Many of us are concerned about an onslaught of SPAM email. Spam has become major problem for the email communications. The number of spam mails is increasing daily – studies show that over 45-50% of all current email communication is spam, it is an ever-increasing problem and will reach up to 70% in coming years. The volume of nonEnglish language spam is increasing day by day. The motivation fo...
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using content and HTTP session analysis techniques on the Webb Spam Corpus – a collection of about 350,000 web spam pages. Our content analysis results are consistent with the hypothesis that web spam pages are different from normal...
The ever increasing menace of spam is bringing down productivity. More than 70% of the email messages are spam, and it has become a challenge to separate such messages from the legitimate ones. I have developed a spam identification engine which employs naive Bayesian classifier to identify spam. A new concept-based mining model that analyzes terms on the sentence, document is introduced. . The...
Search Engine spam is a web page or a portion of a web page which has been created with the intention of increasing its ranking in search engines. Web spamming refers to actions intended to mislead search engines and give some pages higher ranking than they deserve. Anyone who uses a search engine frequently has most likely encountered a high ranking page that consists of nothing more than a bu...
Search spam is an attack on search engines’ ranking algorithms to promote spam links into top search ranking that they do not deserve. Cloaking is a wellknown search spam technique in which spammers serve one page to search-engine crawlers to optimize ranking, but serve a different page to browser users to maximize potential profit. In this experience report, we investigate a different and rela...
Unsolicited commercial email or spam is recognized as a problem disrupting email communication and costing the community dearly. In order to protect recipients from receiving spam, anti-spam measures building on technologies, such as filters and block lists, have been deployed widely. There is some evidence that certain anti-spam measures based on the purported origin of the spam cause unintend...
Spam doesn't really need an introduction—anyone who owns an email address likely receives spam emails every day. However, spam is much more than just an annoyance. Spam's hidden economic cost for companies in wasted storage, bandwidth, technical support, and most important, the loss of employee productivity, is astronomical. The annual cost of spam for a company with 12,000 employees is approxi...
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