New encryption schema based on swarm intelligence chaotic map
Inf. Syst. Dept., Menofiya Univ., Shebin-El-Kom, Egypt
Conference: Informatics and Systems (INFOS), 2010 The 7th International Conference on
Recently, chaos has attracted much attention in the field of cryptography. It describes a dynamical system which is sensitive to initial condition. It generates apparently random behavior but at the same time the system is completely deterministic. Towards this direction, this paper presents a new encryption scheme based on a new chaotic map derived from a simplified model of Swarm Intelligence (SI). The proposed scheme is described in detail, along with the analysis of the possibility of using SI in the field of image cryptography. In the proposed schema, logistic map is used to control the parameters of swarm intelligence chaotic map (SICM) to increase the robustness of the developed cipher schema. Visually and computationally, experimental results are presented to demonstrate significantly encryption quality of the proposed schema.
Available from: Qinghai Gao
- "At the society level, evolutionary algorithms are invented to approach optimization problems. Among these, the genetic algorithm (GA), which imitates the principles of biological evolution by applying selection, mating and mutation operations, has been used for cryptanalysis of classic ciphers, for development of cryptographic primitive, and for cryptographic protocol design ; Ant Colony and Swarm Intelligence are applied for designing encryption scheme and for cryptanalysis . "
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ABSTRACT: This paper presents a 64-bits chaotic block cryptosystem, which uses as noise generator one-dimensional chaotic maps with
8 bits sub-blocks data. These chaotic maps use a control parameter that allows them to operate in the chaotic region, which
guarantees that each sub-block of data is mixed with unpredictable random noise. Statistical mechanic tools such as: bifurcation
diagram, Lyapunov exponent, and invariant distribution have been used to analyze and evaluate the behavior of the noise generator.
The cryptosystem has been evaluated using concepts of information theory, such as: entropy, as a diffusion measure in the
encryption process, and mutual information as a measure of relationship between plaintext and its respective cryptogram. The
noise generator has been used on the non-balanced and dynamic network proposed by L. Kocarev. The randomness of the cryptograms
has been evaluated using the NIST random tests. The proposed cryptosystem can be a component in software applications that
provides security to stored or communicated information. The proposed cryptosystem has a similar behavior to the one of currently
used cryptosystems and it has been designed with chaotic sequence generators, which are aperiodic by definition.
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