منابع مشابه
Trap E-mail Address for Combating E-mail Viruses
The biggest infection events show that the most dangerous viruses propagate via the Internet email systems. We propose a new solution to accelerate the identification of infected computers after an attack by e-mail viruses. Our approach uses trap e-mail addresses secured by a feasible cryptographic technique. The novelty of our work is the introduction of virtual e-mail addresses to identify vi...
متن کاملE E-mail Data Stores
For many people, e-mail has become a running record of their business and personal lives. Somewhere in that big clot of e-mail messages that have accumulated over the years is a wealth of information about people they’ve met, work they’ve done, meetings they’ve held. There are tough calls and tender moments, great debates and funny episodes. When did you first meet a certain person? Just what w...
متن کاملAn innovative analyser for multi-classifier e-mail classification based on grey list analysis
statistical learning algorithms. The GL is the output of a list of classifiers which are not categorized as true positive (TP) nor true negative (TN) but in an unclear status. Many works have been done to filter spam from legitimate e-mails using classification algorithms and substantial performance has been achieved with some amount of false-positive (FP) tradeoffs. However, in spam filtering ...
متن کاملCollaborative E-Mail Filtering
Acknowledgements I would like to thank my advisor, Dr. Susan Gauch, for guidance throughout my undergraduate and graduate years at the University of Kansas. Also, thanks to my thesis committee: Dr. Victor Frost, to whom I also owe my many opportunities at ITTC, and Dr. Perry Alexander, who served on my committee on short notice. I would like to thank my family: Ralph, Charlene, Jeff, and Denise...
متن کاملMining E-mail Authorship
In this paper we report an investigation into the learning of authorship identification or categorisation for the case of e-mail documents. We use various e-mail document features such as structural characteristics and linguistic evidence together with the Support Vector Machine as the learning algorithm. Experiments on a number of e-mail documents give promising results with some e-mail docume...
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ژورنال
عنوان ژورنال: Astronomy & Geophysics
سال: 1998
ISSN: 1366-8781,1468-4004
DOI: 10.1093/astrog/39.1.1.9-b