machine learning methods identification von chitti babu (6 Ergebnisse)

Taschenbuch. Zustand: Neu. Machine Learning Methods in Identification of Encryption Methods | P. Chitti Babu (u. a.) | Taschenbuch | 124 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659386237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chitti Babu P.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 e.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.