Utilizing document classification for grooming attack recognition

Grooming attack recognition is a complex issue that is difficult to address using simple word matching in order to identify potential hazard for minor users. In this paper, the utilization of document classification to create patterns from real dialogs is proposed. Furthermore, a decision making met...

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Bibliographic Details
Published in2011 IEEE Symposium on Computers and Communications (ISCC) pp. 864 - 869
Main Authors Michalopoulos, D., Mavridis, I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Accuracy
Classification algorithms
Cyber-Crime
Decision making
Document Classification
Grooming Recognition
Internet
Naive Bayes
Sexual Exploitation
Software
Support vector machines
Topology
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Summary:Grooming attack recognition is a complex issue that is difficult to address using simple word matching in order to identify potential hazard for minor users. In this paper, the utilization of document classification to create patterns from real dialogs is proposed. Furthermore, a decision making method that results in generating proper warning signals based on the classification results is introduced. The decision making method is then applied using the best ranked algorithm with a comparative evaluation which conducted on seven document classification algorithms.
ISBN:9781457706806
1457706806
ISSN:1530-1346
DOI:10.1109/ISCC.2011.5983950