Criminal law imputation path for biometric information
نویسندگان
چکیده
Abstract Biometric information is the of human physiological and behavioural characteristics used for automatic identification, state analysis attribute estimation. It has uniqueness, stability, easy collection public interest. Illegal acquisition, provision use biometric may constitute an infringement others’ personal rights, property order even national interests. The civil code clearly expresses importance protection distinguishes from general information, but criminal law not responded to this in a timely manner. Based on minimum uncertainty neural network (MUNN) model, article discusses attribution object gives path under information. empirical results show that number misjudgements, recognition rate iterations MUNN model proposed study are 65, 93.5% 1501, respectively, effects all optimal. Due insufficient response there differences main charges sentences, consistency 50% 75%, respectively.
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ژورنال
عنوان ژورنال: Applied mathematics and nonlinear sciences
سال: 2022
ISSN: ['2444-8656']
DOI: https://doi.org/10.2478/amns.2021.2.00280