This paper discusses the challenges of implementing GDPR regulation in the EU and the Republic of Serbia. The regulations governing the issue of personal data protection are outlined. Emphasis is placed on reconciling this issue in the Republic of Serbia with EU legislation. The aim of this paper is to look at GDPR regulations from several standpoints of the business of taxpayers. It is necessary to include all segments of a business entity in the implementation of this regulation, as well as bodies at the national level. It is necessary to adopt by-laws in order to fully implement the Law on Personal Data Protection in the Republic of Serbia.

The development of information and communication technologies, especially the Internet, has led to drastic changes in all spheres of human life and work. Although some of these changes have very positive effects, others are extremely negative. One example of the latter is a new kind of terrorism and criminal activity which is based on the use of the non-indexed part of the Internet which is called dark Web. Generally positive features such as access to information about Internet users, anonymity and protection of personal data are used with the evil intention of acquiring illegal profit and spreading ethnic hatred and intolerance. This paper gives a brief overview of documented ways for accessing this part of web, and examples of abuses of its features.

The rapid development of information and communication technologies from the standpoint of hardware and software resources has led to their increasing application in various areas of everyday life and work. One of the novelties of the hardware industry are the drones. The set of services that drones offer have enabled their use in many areas. One of the currently popular areas for usage of drones is agriculture. Agricultural fields in which a drone can be used depends largely on its equipment, primarily set of sensors and/or high resolution cameras. This paper gives an overview of use cases in agriculture where drones are suitable for use. Furthermore, advantages and limitations of using such aircraft are given. From different economical and legal aspects the use od drones is described. The use of drones in agriculture can greatly contribute to the development of precise farming, reducing production costs and the production of healthier food.

The limited nature of fossil resources and their unsustainable characteristics have led to increased interest in renewable sources. However, significant work remains to be carried out to fully integrate these systems into existing power distribution networks, both technically and legally. While reliability holds great potential for improving energy production sustainability, the dependence of solar energy production plants on weather conditions can complicate the realization of consistent production without incurring high storage costs. Therefore, the accurate prediction of solar power production is vital for efficient grid management and energy trading. Machine learning models have emerged as a prospective solution, as they are able to handle immense datasets and model complex patterns within the data. This work explores the use of metaheuristic optimization techniques for optimizing recurrent forecasting models to predict power production from solar substations. Additionally, a modified metaheuristic optimizer is introduced to meet the demanding requirements of optimization. Simulations, along with a rigid comparative analysis with other contemporary metaheuristics, are also conducted on a real-world dataset, with the best models achieving a mean squared error (MSE) of just 0.000935 volts and 0.007011 volts on the two datasets, suggesting viability for real-world usage. The best-performing models are further examined for their applicability in embedded tiny machine learning (TinyML) applications. The discussion provided in this manuscript also includes the legal framework for renewable energy forecasting, its integration, and the policy implications of establishing a decentralized and cost-effective forecasting system.

E-tourism has become a key component in the tourism industry and allows travelers to easily access information about destinations and services via the Internet, facilitating their travel planning process. Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reservations. E-tourism represents the integration of information and communication technologies in the tourism sector. This concept encompasses the application of digital technologies such as the Internet, mobile applications, online reservation systems, web platforms and social media to improve aspects of travel and tourism. The legal foundation of educational procedures utilizing artificial intelligence algorithms in e-tourism holds significant importance because of the multitude of potential legal complexities and obstacles that could emerge. The Republic of Serbia, like many other countries, is working on improving its regulations in order to enable the development of e-tourism and at the same time ensure the protection of the interests and safety of travelers.