We present a research project aiming at detecting fraud in civil and military service examinations. A method based on profile signature and statistical parameters is proposed. Our conceptual proposal considers statistical, historical, geographical, social, and behavioral parameters. A suspicion signature, generated for each candidate, is converted into a suspicion index to provide a profile ranking of candidates.