%0 Journal Article %1 sharif2011performance %A Sharif, Suhaila Omer %A Mansoor, Saad P. %D 2011 %E Das, Dr. Vinu V %J International Journal on Network Security %K Classifiers Cryptanalysis Encryption Pattern_Recognition %N 4 %P 4 %T Performance Evaluation of Classifiers used for Identification of Encryption Algorithms %U http://doi.searchdl.org/01.IJNS.2.4.60 %V 2 %X Evaluating classifier performance is a critical problem in pattern recognition and machine learning. In this paper pattern recognition techniques were applied to identify encryption algorithms. Four different block cipher algorithms were considered, DES, IDEA, AES, and RC2 operating in (Electronic Codebook) ECB mode. Eight different classification techniques were used for this purpose, these are: Naïve Bayesian (NB), Support Vector Machine (SVM), neural network (MLP), Instance based learning (IBL), Bagging (Ba), AdaBoostM1 (MdaBM1), Rotation Forest (RoFo), and Decision Tree (C4. 5). The result shows that using pattern recognition is a useful technique to identify the encryption algorithm, and according to our simulation using one encryption of key provide better classification than using different keys. Furthermore, increase the number of the input files will improve the accuracy.

@article{sharif2011performance, abstract = {Evaluating classifier performance is a critical problem in pattern recognition and machine learning. In this paper pattern recognition techniques were applied to identify encryption algorithms. Four different block cipher algorithms were considered, DES, IDEA, AES, and RC2 operating in (Electronic Codebook) ECB mode. Eight different classification techniques were used for this purpose, these are: Naïve Bayesian (NB), Support Vector Machine (SVM), neural network (MLP), Instance based learning (IBL), Bagging (Ba), AdaBoostM1 (MdaBM1), Rotation Forest (RoFo), and Decision Tree (C4. 5). The result shows that using pattern recognition is a useful technique to identify the encryption algorithm, and according to our simulation using one encryption of key provide better classification than using different keys. Furthermore, increase the number of the input files will improve the accuracy.}, added-at = {2012-09-25T09:29:46.000+0200}, author = {Sharif, Suhaila Omer and Mansoor, Saad P.}, biburl = {https://www.bibsonomy.org/bibtex/2bd98477a476b275c0fdf3431bed4bcae/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {8e82b39827a0262256c97bf35871a565}, intrahash = {bd98477a476b275c0fdf3431bed4bcae}, journal = {International Journal on Network Security}, keywords = {Classifiers Cryptanalysis Encryption Pattern_Recognition}, month = {October}, number = 4, pages = 4, timestamp = {2012-09-25T09:29:46.000+0200}, title = {Performance Evaluation of Classifiers used for Identification of Encryption Algorithms}, url = {http://doi.searchdl.org/01.IJNS.2.4.60}, volume = 2, year = 2011 }