نتایج جستجو برای: sms spam
تعداد نتایج: 9102 فیلتر نتایج به سال:
Emails are one of the fastest economic communications. Increasing email users has caused the increase of spam in recent years. As we know, spam not only damages user’s profits, time-consuming and bandwidth, but also has become as a risk to efficiency, reliability, and security of a network. Spam developers are always trying to find ways to escape the existing filters therefore new filters to de...
This paper is designed to investigate physicians’ opinions regarding an SMS professional medical news service in the Finnish health-care sector. A survey using SMS mobile technology was conducted on March 5, 2003. 259 out of 685 responded within 2 days, and 90% came within 6 hours after the survey was sent out. The response rate was 38%. Findings from this simple SMS survey showed that physicia...
We propose a privacy-preserving Naive Bayes classifier and apply it to the problem of private text classification. In this setting, party (Alice) holds message, while another (Bob) classifier. At end protocol, Alice will only learn result applied her input Bob learns nothing. Our solution is based on Secure Multiparty Computation (SMC). Rust implementation provides fast secure for classificatio...
Just as email spam has negatively impacted the user messaging experience, the rise of Web spam is threatening to severely degrade the quality of information on the World Wide Web. Fundamentally, Web spam is designed to pollute search engines and corrupt the user experience by driving traffic to particular spammed Web pages, regardless of the merits of those pages. In this paper, we identify an ...
Abstract The Excessive use of short massage services can lead to traumatic psychological, interpersonal and social consequences. The aim of the present study was to evaluate the psychometric properties of the SMS Problem Use Diagnostic Questionnaire (SMS-PUDQ). The sample consisted of 200 students of Tehran University of medical sciences which were selected through convenience sampling. The...
Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...
Twitter is one of the most visited sites in these days. Twitter spam, however, is constantly increasing. Since Twitter spam is different from traditional spam such as email and blog spam, conventional spam filtering methods are inappropriate to detect it. Thus, many researchers have proposed schemes to detect spammers in Twitter. These schemes are based on the features of spam accounts such as ...
The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations More than 70% of global e-mail traffic consists of unsolicited and commercial direct marketing, also known as spam. Dealing with spam incurs high costs for organizations, prompting efforts to try to reduce spam-related costs by installing spam filters. Using modern econometric methods to re...
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