فصلنامه رشد فناوری
پیاپی 76 (پاییز 1402)

Security in cloud computing is very important, cloud computing security is a set of computer security and network security in general is information security and when a processing task by using the virtual machine scheduling algorithm in the cloud for processing Unloading will be This virtual machine will not be able to distinguish the normal mobile user from attackers, thus violating the privacy and security of the transmitted data, so after determining the unloading strategy, the China block can be used in information security. And the information of each server is encapsulated and unloaded in the form of a block. In this research, a proposed solution is presented, which is the combination of China blockchain and cloud computing to increase security and efficiency. The proposed solution is implemented and evaluated in order to evaluate its efficiency increase compared to other existing solutions.

This study aims to provide a conceptual model to understand the factors affecting the resistance to the adoption of blockchain technology in the tourism industry by combining and developing previous models. This research used survey method using questionnaire tool to collect information and also used structural equation modeling with Partial Least Squares (SEM-PLS) approach for statistical analysis. The findings of this research first develop the theoretical and theoretical relationship between concepts such as perceived value and resistance and secondly examine and study this relationship in the context in which managers and activists of the tourism sector operate. In the first stage, the conceptual model of this research is based on the model presented by Walsh et al [1]. The discussion about the research findings shows that the benefits of substitution in the minds of managers and activists of the tourism sector are much stronger than the costs of substitution of blockchain technology. Also, the simplicity of the infrastructure is one of the key factors that has a high impact on understanding the benefits of replacement as well as the perceived value. Examining the role of perceived functional advantage and perceived image in the formation of alternative benefits is one of the innovations of this research in the research related to the application of blockchain technology in the tourism sector. So it can be concluded that in order to reduce resistance to blockchain technology, managers should emphasize more on the advantages of this technology.

After the Internet, blockchain technology has become a key factor in creative and innovative ideas and solutions in the financial sector due to its wide application potential and its numerous implementations. The advent of blockchain creates new opportunities and challenges for ongoing auditing and real-time accounting. Blockchain, as a digital ledger in accounting and a large database for recording and processing decentralized distributed Internet-based data and peer-to-peer interactive networks, is based on consensus; which is accompanied by an innovative approach to business models, intermediaries, and stakeholders; but in many centers it is still shrouded in mystery. Therefore, considering the impact of the environment on accounting and auditing as well as the increasing development of technology, this research with a library method and with practical purposes to identify, promote and use blockchain technology, to describe and examine the features, benefits, applications, and limitations Blockchain technology and its effects on the accounting and auditing profession. The results of this study highlight the necessity, importance, impact and position of blockchain technology in the accounting and auditing profession due to the characteristics of this technology such as greater information transparency, disclosure, timeliness, reliability, cost-effectiveness, flexibility, risk reduction, elimination of intermediaries, Demonstrates easy and fast access, and immutability of information.

The invention of Internet of Things technology and its application has led to the development of industry and trade in countries. Tools that include Internet of Things technology are tools that enable simulation of human performance by tools by embedding multiple stimuli and sensors. But the mechanism of action of these tools has challenges in maintaining the security of private information. The first issue in this regard is the necessity of nature and separation of private data of the non-private type. In the Iranian legal system, the only legal document in this field is Article 58 of Electronic Commerce Law, and the ambiguous text of this article has challenged the identification of this type of data. In this article, for an unknown reason, by separating the types of private data, not only has nature of this data been disrupted, but only a specific category of this data has been subject to the terms of the article for processing and no other provisions have been established. Is. However, in European Union, there are relatively comprehensive regulations in field of identifying the nature of private data, four criteria of identification based on the nature of the data processed, the purposes of using the processed data, concept of nicknamed data and Encrypted data exchanged in decentralized platforms (including China blockchain technology) has been identified as the criterion for identifying this type of data. Application of these criteria by policymakers in Iran could be the solution to many of the challenges ahead..

Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud robotics process automation and markets. Automation refers to the use of technology to perform various tasks with minimal human intervention, so that the automation of the robotic process, intelligent process and various operations of the artificial intelligence business are its main components. In the meantime, the Internet of Things is one of the most up-to-date technologies in the new age of information and communication, which has a concept very close to the Internet of Things. The Internet of Things is a term used to describe physical objects around the world using their digital communication, while the Internet is all about data sets, considering people and processes. The reason for paying attention to the automation of the robotic process is the continuous expansion of the artificial intelligence market due to the widespread use of this technology in most important fields, especially in the components of the Internet. To make the most of robotic process automation, multiple discrete automations as well as artificial intelligence technologies can be used. With this approach, the robotic automation process can be considered as the connection point of everything Internet to software artificial intelligence projects. Therefore, robotic process automation, which aims to improve business processes, is proposed as an Internet connection point for everything with artificial intelligence projects.

Nowadays, based on the spreading of information technology, food consumers especially organic food increasingly want to be informed about the history of food products that they are buying. They want to know about the origin of food, the condition of storage, transporting, etc. besides the information are printed on the packages. In this paper, we are proposing a back and forth supervision system on organic products supply chain based on blockchain technology to ensure data integrity and allow data tracing. The proposed system as a decentralized and secure infrastructure database improves food security and safety, and reduces fraud by verifying the quality and the origin of the products throughout the entire their agricultural supply chain. A unique Quick Response code was used to identify each product within the supply chain. Automated protocols on validation each transaction and events related to a product by peers of the Blockchain system enable data transmitted on the network to be verified and stored immutably and minimizing the risk of data corruption.

Designing a model based on blockchain technology to strengthen cyber security in the banking industry is one of the new methods studied in the banking industry to strengthen cyber security. Accordingly, this study seeks to achieve the goal of evaluating a model based on blockchain technology to strengthen cyber security in the banking industry based on artificial neural networks. This model is based on a conceptual model used in an MLP neural network simulation that simulates a blockchain-like process. Also, the neural networks created in the block chain have a strong connection and the possibility of breaking them is low. The data became closer to normal distribution after learning, indicating that blockchain technology will be able to provide cyber security. The level of correlation and efficiency presented was also reported and the findings of the study showed that the efficiency related to blockchain technologies after learning reached the level of 770.57 units, which shows that using the MLP method to learn the process of blockchain technology can be Lead to greater efficiency for cyber security. Also, the value of variance is equal to 27.77 and the mean value of computational values is equal to 0.35 and the value of correlation is equal to 0.99.

The use of IoT in the banking industry leads to the provision of various banking products and services to customers. New digital innovations, including the Internet of Things, have also created a competitive market for banks, and banks need to adapt their practices accordingly. Therefore, in the present study, value creation with IoT technology was investigated in Sepah Bank. For this purpose, the statistical population of this research includes 130 employees of all departments of the information technology department of Sepah Bank. Using Morgan table, the number of statistical samples of this research was 86 people. For inferential analysis of data obtained from standard questionnaires, based on Balaji & Roy research (2017), the correlation method based on structural equation modeling with partial least squares approach and SPSS and SmartPLS software were used. The results of the study showed that the perceived excellent performance had a positive and significant effect on the shared value creation and the intention to continue receiving services from the Internet of Things, as well as the perceived aesthetic demand on the perceived value creation and excellent performance of The Internet of Things and the intention to continue receiving services and the intention to verbally advertise has had a positive and significant effect, as well as the intention to continue receiving services has a positive effect on the intention to verbally advertise customers, but perceived ease of use and perceived existence do not have a positive effect on perceived shared value creation.