Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Automatic Template Pattern Recognition
Kovařík, David ; Lengál, Ondřej (oponent) ; Šimková, Hana (vedoucí práce)
Spam does not occur as separate messages, but it is sent in so-called campaigns. They are usually generated by a certain template which allows producing large amount of semantically, but not syntactically, equivalent messages. The goal of this work is to design an algorithm able to reversely extract a template of a campaign from a set of concrete messages. The main focus is on spam in SMS communication. However, proposed method is general enough for wider use. The proposed algorithm is based on a method of aligning to sequences, which is used in bioinformatics to detect similar regions of protein strings. Resulting templates are represented as regular expressions. The tool is able to visualize extracted templates using HTML.Results of the tool were validated on more than three hundred real-world campaigns. In most cases extracted regular expressions were able to identify their source campaign.
Automatic Template Pattern Recognition
Kovařík, David ; Lengál, Ondřej (oponent) ; Šimková, Hana (vedoucí práce)
Spam does not occur as separate messages, but it is sent in so-called campaigns. They are usually generated by a certain template which allows producing large amount of semantically, but not syntactically, equivalent messages. The goal of this work is to design an algorithm able to reversely extract a template of a campaign from a set of concrete messages. The main focus is on spam in SMS communication. However, proposed method is general enough for wider use. The proposed algorithm is based on a method of aligning to sequences, which is used in bioinformatics to detect similar regions of protein strings. Resulting templates are represented as regular expressions. The tool is able to visualize extracted templates using HTML.Results of the tool were validated on more than three hundred real-world campaigns. In most cases extracted regular expressions were able to identify their source campaign.

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