Intrusion detection is used to monitor and capture intrusions into computer and network systems which attempt to compromise their security. Many intrusions manifest in changes in the intensity of events occuring in computer networks. Because of the ability of exponentially weighted moving average (EWMA) control charts to monitor the rate of occurrences of events based on their intensity, this technique is appropriate for implementation in control limits based algorithms. The paper also gives a review of a possible optimization method. The validation check of results will be performed on authentic network samples.
The speed of response to change and fluidity are key preconditions for the next generation of IT solutions in the digital world. We are witnessing a rather unimaginable expansion of the use of technology in everyday life, on the one hand, and a continuous increase in the speed of software delivery, on the other, which significantly increased expectations and contributed to the adoption of agile methods and practices, shifting the pendulum of software architecture from traditional to agile methods and practices. Agile architecture, as a result of the transformation of a traditional and agile approach to software development, is a new approach that uses agile techniques to deliver a flexible architecture, adaptable to changing demands, tolerant to changes, which is the result of the iterative-incremental design of the agile process of software development. In recent years, there has been a shift in focus, in practice and research, from people and processes to integration technologies and application's hosting, which has led to the emergence of microservices and increased interest in software architecture and design. One consequence of this is the emergence and development of new approaches in the process of building Agile architecture, such as Continuous Architecting, Lean Architecting or Evolutionary Architecting, which essentially share the same goals. In this connection, in order to understand better the concept and the new role of Agile architecture in the digital era, it is necessary to study the genesis of Agile architecture, as a special approach in software development, to identify current trends and practices that are adapted to the contemporary digital environment (scalability, distribution, complexity). The results of conducted systematic literature review will help researchers and practitioners in better understanding of what Agile architecture is and its role, the current trends and directions of future development, and practices that are particularly useful in the development of complex software, with the aim of broadening the application and improvement of the agile software development process.
Digital transformation (DT), as a result of digitalization process, rapidly and fundamentally changes the business entities and organizations, which involves a radical review of the use of technology to change the strategy, value streams, operations, and business models, with a significant impact on customers, business partners and employees. Enterprises are launching the DT initiatives examining the wishes and needs of customers and creating operational models that use the new opportunities to increase competitiveness. In this regard, the key responses to changes in the digital era are the reshaping customer value propositions and reconfiguration the operation model. In the basic industries, where the product is mainly a raw material, such as the mining industry, the companies launch the DT initiative to improve operations. The operating model is adjusted so that user preferences and expectations affect each activity in the value chain. This requires the integration of business activities and the optimization of the way to manage and track data related to each key activity in the value chain. However, although there is a great potential for future growth, the current state of digital transformation in mining is at a low level. Therefore, the question arises as to how to launch and effectively realize the DT initiative for improvement the operational model in the mining enterprise. This paper, in general, discusses the importance of the DT, with particular reference to the key aspects of the DT, challenges and success factors in the mining industry. As a result of research, the key aspects of realization the DT initiative for improving the operational model in the large, diversified mining enterprise are presented; challenges and success factors are identified and classified in a given context. The complete research efforts, as well as the obtained results, are dedicated to the role and significance of the DT phenomenon in the mining industry, with the goal of wider and more effective use the digital technologies in the mining enterprises.
Knowing what attracts or deters tourists to/from a tourist visit and what products to offer them and to pay special attention to is crucial for good economic results. Such knowledge can be obtained by analysis of online comments and reviews that tourists leave on travel websites (such as Booking, TripAdvisor, Trivago, etc.). This paper describes the value which information about opinions and emotions hidden in online reviews has for managers who receive it, especially the knowledge of (dis)satisfaction of users with certain aspects of the tourist offer. Uncovered knowledge from online reviews provides a chance to take advantage of the strong points, and correct the shortcomings through timely corrective measures and actions. Contemporary approaches and methods of analyzing online reviews and the opportunities for development they provide in the tourism industry are described through a case study conducted over a subset of 20491 hotel reviews from TripAdvisor. We have conducted sentiment analysis of reviews with the goal of building an automated model which will successfully distinguish positive from negative reviews. Logistic Regression classifier has the best performance, in 90% of reviews it has correctly classified positive reviews and in 83% negative. We have illustrated how association rules can help management to uncover relationships between concepts under discussion in negative and positive reviews.
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