Image Encryption Based on Intelligent Session Mask Keys

The revolution of multimedia has been a driving force behind fast and secured data transmission techniques. The security of image information from unapproved access is imperative. Encryptions technique is used to transfer data, where each kind of data has its own special elements; thus various methods should to be used to conserve distributing the image. This paper produces image encryption improvements based on proposed an approach to generate efficient intelligent session (mask keys) based on investigates from the combination between robust feature for ECC algebra and construction level in Greedy Randomized Adaptive Search Procedure (GRASP) to produce durable symmetric session mask keys consist of ECC points. Symmetric behavior for ECC by keeping the points set Ps as 1D mask secret key produce. B+ tree compress operations use to increase the security level and reduce multi session secret mask keys size based on indexing data base to unique code that transmit between the sender and receiver in secure channel. According to the popular measurements the proposed approach give efficient results in image encryption and the proposed method to generate 1D intelligent mask generation succeed to conceal pure images information.