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Showing 1 to 8 of 8 for “"Email spam"”.

  1. Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough Sets

    Email spam filtering commonly is viewed as binary classification problem, that is, classifies incoming email messages into spam or non-spam email. But it has two main limitations. Firstly, binary classification needs people to make definite decisions that are hard. Secondly, binary classification …

    regina Repository record for Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough Sets (opens in a new tab)

  2. An email spam filtering proxy using secure authentication and micro-bonds

    … of existing technologies in order to give an email user full control over their incoming email. The innate uncertainty of automatic spam detection creates a tension between the desire to filter 100% of spam, and the need to avoid the loss of legitimate mail. Apuma attempts to solve this …

    mit Repository record for An email spam filtering proxy using secure authentication and micro-bonds (opens in a new tab)

  3. Pattern recognition for computer security

    … the following two computer security problems: email spam campaign and malware detection. Email spam campaigns can easily be generated using popular dissemination tools by specifying simple grammars that serve as message templates. A grammar is disseminated to nodes of a bot net, the nodes …

    potsdam-diss Repository record for Pattern recognition for computer security (opens in a new tab)

  4. Prediction games : machine learning in the presence of an adversary

    … given data. Consider, for instance, the task of email spam filtering where one seeks to find a model which automatically assigns new, previously unseen emails to class spam or non-spam. Building such a predictive model based on observed training inputs (e.g., emails) with corresponding outputs …

    potsdam-diss Repository record for Prediction games : machine learning in the presence of an adversary (opens in a new tab)

  5. Using decoys to block SPIT in the IMS

    … have shown that 80-85% of e-mails sent were spam. Another form of spam that has just surfaced is VoIP (Voice over Internet Telephony) spam. Currently, VoIP has seen an increasing numbers of users due to the cheap rates. With the introduction of the IMS (IP Multimedia Subsystem), the number of …

    cape-town Repository record for Using decoys to block SPIT in the IMS (opens in a new tab)

  6. Scaling up VoIP: Transport Protocols and Controlling Unwanted Communication Requests

    … calls will be at least as serious a problem as email spam. This dissertation studies how we can reduce load both on ITSPs and end users to ensure continuing the success of VoIP services. From ITSPs' perspective, the scalability of VoIP servers is of importance and concern. Scalability depends on …

    columbia-diss Repository record for Scaling up VoIP: Transport Protocols and Controlling Unwanted Communication Requests (opens in a new tab)

  7. Discriminative Classification Models for Internet Security

    … initiate countermeasures. As an example, inbound email spam filters decide for spam or non-spam. They can base their decision on both the content of each email as well as on features that summarize prior emails received from the sending server. In general, discriminative classification methods …

    potsdam-diss Repository record for Discriminative Classification Models for Internet Security (opens in a new tab)

  8. Automatic identification and removal of low quality online information

    … and countering various forms of DoI attacks in email systems. We develop a new DoI attack based on camouflaged messages, and we show that spam producers and information consumers are entrenched in a spam arms race. To break free of this arms race, we propose two solutions. One solution involves …

    gatech Repository record for Automatic identification and removal of low quality online information (opens in a new tab)