الفهرس 
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Abstract
Today is the era of internet and networks applications. So information security has become an important issue in data communication. Information security is a multidisciplinary area of study and professional activity which is concerned with the development and implementation of security mechanisms to protection of information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction in order to provide confidentiality, integrity, and availability. Cryptography has come up as a solution, and plays an important role in information security system. Cryptography is the study of secret writing that is one such way to make sure that confidentiality, authentication, integrity, availability and identification of user data can be maintained as well as security and privacy of data can be provided to the user. In general, cryptographic algorithms are often grouped into two broad categories symmetric and asymmetric but in practice, today’s popular cryptosystems use a hybrid combination of symmetric and asymmetric algorithms. Symmetric and asymmetric algorithms are distinguished by the types of keys they use for encryption and decryption operations. Genetic Algorithm (GA), is stochastic search algorithm based on the
mechanism of natural selection and natural genetics. The main idea is that in order
for a population of individuals to adapt to some environment, it should behave like a natural system. This means that survival and reproduction of an individual is promoted by the elimination of useless traits and by rewarding useful behavior. The GA belongs to the class of evolutionary algorithms, which are used to find solutions to optimization problems using mechanisms based on biological evolution such as selection, crossover, mutation. and inheritance. Pattern Recognition (PR), is the study of how machines can observe the environment learn to distinguish patterns of interest from their background, make reasonable decisions about the categories of the patterns. The primary goal of the PR is to automatically assist humans in analyzing the large amount of data and extracting a useful knowledge from it. In this thesis, propose a new approach for cryptography real time data transmission through combining between two of the most famous artificial intelligence techniques namely GA and PR. Primary goals of proposed technique was to provide fast and improved performance results having practical and feasible implementation. The proposed framework includes three stages: The first stage generates unique genetic key and use it to formulate patterns tables, second stage divided the secrete message into blocks with same size according to length of key then make PR to blocks matched by weighted Euclidean distance, third stage (XOR) operation is applied on blocks after pattern recognition and genetic key. Performance of the proposed system is evaluated considering the encryption time decryption time, the proposed system possesses good performance in encryption, decryption speed and it is suitable for real-time cryptography and transmission.