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Cloud Data Security through BB84 Protocol and Genetic Algorithm
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In the current digitalized world, cloud computing becomes a feasible solution for the virtualization of cloud computing resources.  Though cloud computing has many advantages to outsourcing an organization’s information, but the strong security is the main aspect of cloud computing. Identity authentication theft becomes a vital part of the protection of cloud computing data. In this process, the intruders violate the security protocols and perform attacks on the organizations or user’s data. The situation of cloud data disclosure leads to the cloud user feeling insecure while using the cloud platform. The different traditional cryptographic techniques are not able to stop such kinds of attacks. BB84 protocol is the first quantum cryptography protocol developed by Bennett and Brassard in the year 1984. In the present work, three ways BB84GA security systems have been demonstrated using trusted cryptographic techniques like an attribute-based authentication system, BB84 protocol, and genetic algorithm. Firstly, attribute-based authentication is used for identity-based access control and thereafter BB84 protocol is used for quantum key distribution between both parties and later the concept of genetic algorithm is applied for encryption/decryption of sensitive information across the private/public clouds. The proposed concept of involvement of hybrid algorithms is highly secure and technologically feasible. It is a unique algorithm which may be used to minimize the security threats over the clouds. The computed results are presented in the form of tables and graphs.

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Publication Date
Sat Jan 01 2022
Journal Name
Bild Law Journal
Law and its influential role for strategic leadership in managing security crises in Iraq
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Scopus
Publication Date
Sun Mar 26 2023
Journal Name
Arab Science Heritage Journal
قرى الأنبار من خلال كتب الرحالة والبلدانيين من القرن الثالث الى نهاية القرن التاسع الهجري
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The topics that I wrote about Anbar took care with one side, because most of what was mentioned specializes with the special geographical nature of the region and its elements, neglected many social, urban and religious aspects, for a fundamental reason that the researcher sees, which is that Anbar did not occupy a metropolis.The Abbasid Caliphate was for a very limited period of time and did not have a great historical dimension. This is what the researcher believed, because Anbar did not have a sufficient period of time to be the capital of the Caliphate for a long time, and the accompanying construction, and its situation is similar to cities and villages that were built according to the desire of their owners.

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Publication Date
Sun Jun 12 2011
Journal Name
Baghdad Science Journal
Development Binary Search Algorithm
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There are many methods of searching large amount of data to find one particular piece of information. Such as find name of person in record of mobile. Certain methods of organizing data make the search process more efficient the objective of these methods is to find the element with least cost (least time). Binary search algorithm is faster than sequential and other commonly used search algorithms. This research develops binary search algorithm by using new structure called Triple, structure in this structure data are represented as triple. It consists of three locations (1-Top, 2-Left, and 3-Right) Binary search algorithm divide the search interval in half, this process makes the maximum number of comparisons (Average case com

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Publication Date
Tue May 01 2018
Journal Name
International Journal Of Computer Trends And Technology
Two Phase Approach for Copyright Protection and Deduplication of Video Content in Cloud using H.264 and SHA-512
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Cloud computing offers a new way of service provision by rearranging various resources over the Internet. The most important and popular cloud service is data storage. In order to preserve the privacy of data holders, data are often stored in cloud in an encrypted form. However, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in the cloud. Traditional deduplication schemes cannot work on encrypted data. Among these data, digital videos are fairly huge in terms of storage cost and size; and techniques that can help the legal aspects of video owner such as copyright protection and reducing the cloud storage cost and size are always desired. This paper focuses on v

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Publication Date
Thu Dec 02 2021
Journal Name
Iraqi Journal Of Science
The Moon, Sun and Jupiter coordinates and distances variation through 100 years
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In this research calculate the ecliptic and equatorial coordinates for the Moon , Sun and Jupiter through 100 years and calculate the distances between the Moon and the Earth , the Sun and the Earth , Jupiter and the Sun, Jupiter and the Earth . From Calculation and discussion the changes in the equatorial coordinate were: Δ , Δ δJ = (22.73+21.93, 23.28+22.99) , and the maximum values and minimum values for the Moon were: Rm(min) = 0.00239,0.00240 and Rm(max) = 0.0027,0.00272 , and Jupiter RJ(min) = 4.99077,4.99966 and RJ(min) = 5.44469,5.45057 , and the periods change preface to calculate the conjunction of the Moon and Jupiter. 

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Publication Date
Sun Oct 30 2022
Journal Name
Iraqi Journal Of Science
Power-Efficient Virtual Machine Placement in Cloud Datacenters using Heuristic Assisted Enhanced Discrete Particle Swarm Optimization
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    The increase in cloud computing services and the large-scale construction of data centers led to excessive power consumption. Datacenters contain a large number of servers where the major power consumption takes place. An efficient virtual machine placement algorithm is substantial to attain energy consumption minimization and improve resource utilization through reducing the number of operating servers. In this paper, an enhanced discrete particle swarm optimization (EDPSO) is proposed. The enhancement of the discrete PSO algorithm is achieved through modifying the velocity update equation to bound the resultant particles and ensuring feasibility. Furthermore, EDPSO is assisted by two heuristic algorithms random first fit (RFF) a

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Crossref
Publication Date
Wed Jan 13 2021
Journal Name
Iraqi Journal Of Science
Cloud Computing Platform for Mentoring Trainees: The Case of the Professional Training of Midwives in Morocco
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The digital transformation invites several solutions to optimize professional training. Its particularity lies in the management, conservation and securing of their data to each of the players. The use of the electronic learning booklet with Cloud computing aims to be simple and intuitive, it creates interaction and makes it possible to strengthen the links of the trinomial (Student, Educational tutor, supervisor on a training)
We thought of using a online platform tool using Cloud Computing Technology to overcome the limitations of the "paper" learning booklet. This technical-pedagogical system makes it possible to save all data of the apprentice through evaluation grids and follow-up sheets, both during training periods and in theor

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Publication Date
Mon Jun 30 2003
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Two-Phase Pressure Drop Through Obstructions
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Publication Date
Thu Sep 01 2022
Journal Name
Computers And Electrical Engineering
Automatic illness prediction system through speech
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Publication Date
Sun Jun 30 2013
Journal Name
Al-khwarizmi Engineering Journal
Estimated Outlet Temperatures in Shell-and-Tube Heat Exchanger Using Artificial Neural Network Approach Based on Practical Data
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The objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The commonly used Back Propagation (BP) algorithm was used to train and test networks by divided the data to three samples (training, validation and testing data) to give more approach data with actual case. Inputs of the neural network include inlet water temperature, inlet air temperature and mass flow rate of air. Two outputs (exit water temperature to cooling tower and exit air temperature to second stage of air compressor) were taken in ANN.

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