BAT algorithm for Cryptanalysis of Feistel cryptosystems
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 2
Abstract
Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks; available results, emerged many years ago remain insufficient when handling large instances due to resources requirement which increase with the amount of processed data. On another side, optimization techniques inspired by swarm intelligence represents a set of approaches used to solve complex problems. This is mainly due to their fast convergence with a consumption of reduced resources. The purpose of this paper is to provide, and for a first time, a more detailed study about the performance of BAT algorithm in cryptanalysis of some variant of Data encryption standard algorithms. Experiments were performed to study the effectiveness of the used algorithm in solving the considered problem and underline the difficulties encountered.
Authors and Affiliations
T. Mekhaznia*| LAMIS Laboratory, University of Tebessa, Algeria, A. Zidani| Department of Computer Sciences, University of Batna, Algeria
GA Based Selective Harmonic Elimination for Five-Level Inverter Using Cascaded H-bridge Modules
Multilevel inverters (MLI) have been commonly used in industry especially to get quality output voltage in terms of total harmonic distortion (THD). In addition, development in semiconductor technology and advanced modul...
Store Data from Experiments with Microorganisms Used in Food Industry
The aim of this paper is to present results from collaboration of computer engineers and experimenters in microbiology working with molecular-genetic methods. The experimenters in microbiological laboratory at the Univer...
An Artificial Neural Network Model for Wastewater Treatment Plant of Konya
In this study, modelling of Konya wastewater treatment plant was studied by using artificial neural network with different architectures in Matlab software. All data were obtained from wastewater treatment plant of Konya...
Predicting Student Success in Courses via Collaborative Filtering
Based on their skills and interests, students’ success in courses may differ greatly. Predicting student success in courses before they take them may be important. For instance, students may choose elective courses that...
A Mitigation Technique for Inrush Currents in Load Transformers for the Series Voltage Sag Compensator
In many countries, high-tech manufacturers concentrate in industry parks. Survey results suggest that 92% of interruption at industrial facilities is voltage sag related. An inrush mitigation technique is proposed and im...