Journal of Kufa for Mathematics and Computer

The proposed B-MQKD method uses a quantum key distribution to generate a key and provide an
authentication amongst many parties. It uses concepts of block cipher by using RC6 algorithm for encryption. The
mix concept in B-MQKD (quantum and block cipher) gives the algorithm more authentication, randomness, and
security which make it difficult to find the original message by attackers. In this paper using BB84 among three
parties make it possiple to give the key to many users in a secret way.

Abstract—Object detection and recognition is one of the important techniques in computer vision for searching and
scanning and identifying an object in images or videos. Object detection and recognition enters into many important
fields where one of the uses of object detection and recognition is to detect region of injury and determine the type of
injury. This paper suggested a new effective method called Local Quadrant Pattern (LQP). The proposed method uses a window and passes it on all pixels of the image and uses the pixel direction to arrange the adjacent pixels. It also uses four code values to encode and then produce a texture feature matrix which is used to detect objects as well as extract features based on magnitude of pixels for image classification. The experiments were conducted on the infected regions in the skin and the results showed the ability of the method to detect regions of infection as well as the high accuracy in the classification of those regions.

Abstract The concept of intuitionistic topological space was introduced by Çoker. The aim
of this paper is to generalize notions between bitopological spaces and double topological
spaces and also give a notion of pairwise locally compact and compactification for doubletopological
spaces.

Abstract— As a result of the tremendous development of information and communications technology, especially
after the wide spread of the internet, the process of preserving images has become a major and important subject. The most important method to preserve images is the use of encryption, which aims to ensure the preservation of the
privacy of images and not allowing anyone to tamper with or view them because they are either confidential or very
special. Also, no one can understand the content of those images unless they have a means of encryption.
In this research, a new methods has been applied in images encryption using mutation methods. Different analysis
like correlation coefficient, and histogram analysis is applied for the verification of the performance of the suggested
algorithm. Matlab language has been used to implement the suggested algorithm, because of its efficiency, accuracy
and flexibility in giving results.