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Deception Detection and Opinion Spam
2017In this chapter we first introduce the reader to the problem of deception detection in general, describing how lies may be detected automatically using different methods. Later we address the specific problem of deception detection in predatory communication.
Rosso, Paolo, Cagnina, Leticia Cecilia
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An HMM for detecting spam mail☆
Expert Systems with Applications, 2007Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidden Markov Models. In this paper, we show that these models can also be adapted to the problem of classifying misspelled words by identifying its primary structure through ...
José Gordillo, Eduardo Conde
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Combining Classifiers for Spam Detection
2012Nowadays e-mail has become a fast and economical way to exchange information. However, unsolicited or junk e-mail also known as spam quickly became a major problem on the Internet and keeping users away from them becomes one of the most important research area. Indeed, spam filtering is used to prevent access to undesirable e-mails.
Fatiha Barigou +2 more
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Harnessing the Nature of Spam in Scalable Online Social Spam Detection
2018 IEEE International Conference on Big Data (Big Data), 2018Disinformation in social networks has been a worldwide problem. Social users are surrounded by a huge volume of malicious links, biased comments, fake reviews, or fraudulent advertisements, etc. Traditional spam detection approaches propose a variety of statistical feature-based models to filter out social spam from a historical dataset.
Hailu Xu +4 more
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Detecting Professional Spam Reviewers
2013Spam reviewers are becoming more professional. The common approach in spam reviewer detection is mainly based on the similarities among reviews or ratings on the same products. Applying this approach to professional spammer detection has some difficulties. First, some of the review systems start to set some limitations, e.g., duplicate submissions from
Junlong Huang +4 more
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International Conference on Digital Telecommunications (ICDT'06), 2006
The SIP protocol has been showing for the last few years a strong acceptance by the market. Through a large row of services, in particular VoIP calls and Instant Messaging (IM), SIP has become ubiquitous in the public communications as well as the corporated ones.
Y. Rebahi, D. Sisalem, T. Magedanz
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The SIP protocol has been showing for the last few years a strong acceptance by the market. Through a large row of services, in particular VoIP calls and Instant Messaging (IM), SIP has become ubiquitous in the public communications as well as the corporated ones.
Y. Rebahi, D. Sisalem, T. Magedanz
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Exploiting the Spam Correlations in Scalable Online Social Spam Detection
2019The huge amount of social spam from large-scale social networks has been a common phenomenon in the contemporary world. The majority of former research focused on improving the efficiency of identifying social spam from a limited size of data in the algorithm side, however, few of them target on the data correlations among large-scale distributed ...
Hailu Xu +3 more
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2023
Spam is any kind of unwanted, unsolicited digital communication that gets sent out in bulk. Often spam is sent via email, but it can also be distributed via text messages, phone calls, or social media. While it may not be possible to avoid spam altogether, there are steps you can take to help protect yourself against falling for a scam or getting ...
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Spam is any kind of unwanted, unsolicited digital communication that gets sent out in bulk. Often spam is sent via email, but it can also be distributed via text messages, phone calls, or social media. While it may not be possible to avoid spam altogether, there are steps you can take to help protect yourself against falling for a scam or getting ...
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Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal, 2015
Spammers always find new ways to get spammy content to the public. Very commonly this is accomplished by using email, social media, or advertisements. According to a 2011 report by the Messaging Anti-Abuse Working Group roughly 90% of all emails in the United States are spam. This is why we will be taking a more detailed look at email spam.
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Spammers always find new ways to get spammy content to the public. Very commonly this is accomplished by using email, social media, or advertisements. According to a 2011 report by the Messaging Anti-Abuse Working Group roughly 90% of all emails in the United States are spam. This is why we will be taking a more detailed look at email spam.
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Hyperparameter Optimization of Ensemble Models for Spam Email Detection
Applied Sciences (Switzerland), 2023David Oyewola +1 more
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