The concept of cloud computing has arisen thanks to academic work in the fields of utility computing, distributed computing, virtualisation, and web services. By using cloud computing, which can be accessed from anywhere, newly-launched businesses can minimise their start-up costs. Among the most important notions when it comes to the construction of cloud computing is virtualisation. While this concept brings its own security risks, these risks are not necessarily related to the cloud. The main disadvantage of using cloud computing is linked to safety and security. This is because anybody which chooses to employ cloud computing will use someone else's hard disk and CPU in order to sort and store data. In cloud environments, a great deal of importance is placed on guaranteeing that the virtual machine image is safe and secure. Indeed, a previous study has put forth a framework with which to protect the virtual machine image in cloud computing. As such, the present study is primarily concerned with confirming this theoretical framework so as to ultimately secure the virtual machine image in cloud computing. This will be achieved by carrying out interviews with experts in the field of cloud security

At present, the market for IT services is quite unstable. The Gartner study shows that the cost of IT services has significantly decreased over 2015–2016. Some growth in expenses for IT services observed in 2017 did not eliminate the uncertainty of the market dynamics [1]. It should be not- ed that the software segment remains the largest segment in the IT market today [1]. Therefore, one of the main problems requiring attention from consumers and providers of IT ser- vices is the problem of reducing the IT service development expenses. One of the most important expense items in the IT proj- ects of software product development is the staff expense item. This type of expenses includes, particularly, the ex- penses on hiring the staff to participate in the IT project, the IT salaries and emoluments, training, and upgrade of the IT project staff skills. It should also be noted that the existing project management practices recommend that the project personnel be divided into groups of permanent employees and employees hired to participate in a particular project [2]. At the same time, existing models of maturity of IT com- panies assume improvement of software writing processes and the IT project management in the direction of ensur- ing repeatability and standardization of software products [3, 4]. This approach enables an assumption of the possibility of substitution of intelligent information technologies for the IT project personnel in a number of repeatable process- es and software development works provided that such a replacement is economically viable. Such a solution to the problem of reducing expenses on staff participation in the development of information systems and software products for various purposes is relevant from theoretical and applied points of view.

In this research paper, we will present how to hide confidential information in a color image randomly
using a mathematical equation; by apply this equation to the number of image bytes after converting
the image into a digital image, the number of randomly selected bytes depends on the length of
the secret message. After specifying the bytes, we include the secret message in those selected
bytes utilizing least significant bit (LSB) of steganography, and return the new bytes in the same
place in the original image by using the same mathematical equation, after the hiding process using
steganography, and then we encrypt the image and send it to the recipient. Several statistical
measures applied to the original image, compared with the image after embedding, and after the
image encrypted. The results obtained are very good. The statistical measures were used the
histogram, mean square error (MSE) and the peak signal to noise ratio (PSNR). The system is
designed to perform these processes, which consists of two stages, hiding stage and extract stage.
The first stage contains from four steps, the first step of this stage reading the image and converting
it to a digital image and make an index on each byte of the image bytes and the application of
the mathematical equation to select the bytes by randomly, second step is the process of hiding the
secret message in selected bytes and return those bytes to the original locations, third step is the
calculation of the statistical measures to determine the rate of confusion after the inclusion of the
confidential message, fourth step to encrypt the image of the message carrier and measure the rate of
confusion after the encryption and compare with the original image. The extraction process consists
of three steps, the first step is to use the private key to decrypt, and the second step is to apply..

The information and communications technology time are essential for the security aspect of processes
and methodologies. The security of information should a key priority in the secret exchange of
information between two parties. That’s to guarantee the information’s security, some strategies are
used, and they include steganography, watermark, and cryptography. In cryptography, the secrete
message is converted into unintelligible text, but the existence of the secrete message is noticed, on
the other hand, watermarking and steganography involve hiding the secrete message in a way that its
presence cannot be noticed. Presently, the design and development of an effective image steganography
system are facing several challenges such as low capacity, poor robustness and imperceptibility.
To surmount these challenges, a new secure image steganography work called the Pixels Contrast
(PC) method is proposed along with the eight neighbour’s method and Huffman coding algorithm
to overcome the imperceptibility and capacity issues. In the proposed method, a new image partitioning
with a Henon map is used to increase the security part. This method has three main stages
(preprocessing, embedding, and extracting) each stage has a different process. In this method, different
standard images were used such as medical images and SIPI-dataset. The experimental result
was evaluated with different measurement parameters like Histogram Analysis Structural Similarity
Index (SSIM), Peak signal-to-noise ratio (PSNR). Compared the proposed method with the previous
works then proved to be better than existing methods. In short, the proposed steganography method
outperformed the commercially available data hiding schemes, thereby resolving the existing issues.

The development of control systems to improve efficiency requires accurate mathematical models. This article deals with the modelling of two-mass variable speed wind turbine generators. A model design of a 3.5 MW vertically axial wind generator and a mathematical model of an electromechanical system is considered in this article. Wind turbine generators behave to have the most significant uncertainty, specified the possibility for nonlinear behaviour. The main focus is on structural aerodynamics, including the forcing and motion of the rotating parts of the turbine. The turbine’s critical structural aerodynamics and mechanical components are the blade pitch actuators, drive shaft actuators, and turbine specifications. With an accurate wind turbine model, the control engineers will design control systems to reduce loads, increase the operating lifetime, and increase electrical power. Methods of linearization about operating points have been proposed to enable an efficient control system design. The results show that the model can be used in different strategies evaluation.