Machine Learning Methods in Identification of Encryption Methods - Couverture souple

Chitti Babu, P.; Ramakrishna, S.; Bharathi, K.C.K.

 
9783659386237: Machine Learning Methods in Identification of Encryption Methods
Couverture souple
ISBN 10 : 3659386235 ISBN 13 : 9783659386237
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

Cryptanalysis is the study of methods for obtaining the meaningful message from the encrypted information without access to the secret key information that is essential for decryption. One important task in cryptanalysis when only the cipher text is available is: identification of the encryption method used. The focus of this work is on identification of the encryption method. In this work, support vector machine based methods are explored for identification of encryption method from a given cipher text. This task is considered as a pattern classification task. One approach is proposed to the identification of encryption method using the support vector machines (SVM). In this approach, the cipher text is given as input to a classifier. Because of the complexity involved in the chosen encryption methods, the performance of the classifier using the cipher text is very poor. Hetero-association models built using support vector regression (SVR) are considered for generating the partially decrypted text. Different methods are considered to represent a cipher text or a partially decrypted text by a feature vector. This feature vector is given as input to an SVM based classifier.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Cryptanalysis is the study of methods for obtaining the meaningful message from the encrypted information without access to the secret key information that is essential for decryption. One important task in cryptanalysis when only the cipher text is available is: identification of the encryption method used. The focus of this work is on identification of the encryption method. In this work, support vector machine based methods are explored for identification of encryption method from a given cipher text. This task is considered as a pattern classification task. One approach is proposed to the identification of encryption method using the support vector machines (SVM). In this approach, the cipher text is given as input to a classifier. Because of the complexity involved in the chosen encryption methods, the performance of the classifier using the cipher text is very poor. Hetero-association models built using support vector regression (SVR) are considered for generating the partially decrypted text. Different methods are considered to represent a cipher text or a partially decrypted text by a feature vector. This feature vector is given as input to an SVM based classifier.

Biographie de l'auteur

Dr. P. Chitti Babu has obtained MCA andPh.D(Computer Science) Degree from S.V.University,Tirupati. He is working as a Professor & Principal,Annamacharya PG College of Computer Studies,Rajampet, Andhra Pradesh with the experience of 13years. He has published 15 papers in internationaland national journals. He is a life member of CSI andISTE.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659386235
ISBN 13 
9783659386237
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
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