11 research outputs found
Detecting Phishing E-mails by Heterogeneous Classification
This paper presents a system for classifying e-mails into two
categories, legitimate and fraudulent. This classifier system is based on the
serial application of three filters: a Bayesian filter that classifies the textual
content of e-mails, a rule- based filter that classifies the non grammatical
content of e-mails and, finally, a filter based on an emulator of fictitious
accesses which classifies the responses from websites referenced by links
contained in e-mails. This system is based on an approach that is hybrid,
because it uses different classification methods, and also integrated, because it
takes into account all kind of data and information contained in e-mails. This
approach aims to provide an effective and efficient classification. The system
first applies fast and reliable classification methods, and only when the resulting
classification decision is imprecise does the system apply more complex
analysis and classification methods.Peer reviewe
CSIC archival collections: scientific records from the “past” to today science for the “future”
29 transparencias.-- Comunicación presentada en el CASE, FutureProofV, Barcelona May 6-8 2009.About CSIC, ¿Does CSIC has archives?, Archives situation, Archives andrecords typology, What has been done, Some results achieved, Challenges and problems, Conclusions.Peer reviewe
Radioimmunoassay for Parathyrin. Characterization of Six Different Antigens and Antisera
Peer Reviewe