جستجوی مقالات مرتبط با کلیدواژه « internet of things » در نشریات گروه « فناوری اطلاعات »

Nowadays, the Internet of Things (IoT) has emerged as an effective and innovative technology for developing the infrastructure of many hardware and related software applications. Moreover, blockchain technology has emerged as the backbone for the development of IoT-based applications. The use of blockchain in the Internet of Things as a reliable and safe system can help improve the security and quality of the Internet of Things network and in the long run lead to energy savings and improve the efficiency of these systems. However, security challenges, including distributed service breach attacks, have revealed a fundamental fault line within the blockchain-based IoT network. Therefore, according to the necessity of the problem, in this article, we intend to first examine the types of security challenges and denial of service attacks in Internet of Things networks based on block chains and then examine and propose solutions for identifying, managing and dealing with these attacks. Certainly, the correct use of such security approaches can be effective toward securing Internet of Things environments and create more quality and reliable services and increase users' acceptance of these services.

This research has been done with the aim of identifying and ranking the factors affecting the digital transformation strategy in Iran's road freight transportation industry, focusing on the Internet of Things and data analytics. After reviewing the literature, semi-structured interviews were conducted with 20 academic and road freight transportation industry experts in Iran, who were selected using the purposive sampling method and saturation principle. In the quantitative part, the opinions of 170 employees of this industry, who were selected based on Cochran's formula and stratified sampling method, were collected using a researcher-made questionnaire. Delphi technique, literature review and coding were used to analyze the data in the qualitative part. In the quantitative part, inferential statistics and SPSS and smartPLS software were used. Finally, 40 indicators were extracted in the form of 8 factors and ranking of indicators and affecting factors was done using factor analysis. The result of this research shows that the internal factors have the highest rank and software infrastructure, hardware infrastructure, economic, external factors, legal, cultural and penetration factor are in the next ranks respectively. Therefore, it is suggested that organizations consider their human resource empowerment program in line with the use of technology and digital tools.

Intrusion detection systems seek to realize several objectives, such as increasing the true detection rate, reducing the detection time, reducing the computational load, and preserving the resulting logs in such a way that they cannot be manipulated or deleted by unauthorized people. Therefore, this study seeks to solve the challenges by benefiting from the advantages of blockchain technology, its durability, and relying on IDS architecture based on multi-node cooperation. The proposed model is an intrusion detection engine based on the decision tree algorithm implemented in the nodes of the architecture. The architecture consists of several connected nodes on the blockchain platform. The resulting model and logs are stored on the blockchain platform and cannot be manipulated. In addition to the benefits of using blockchain, reduced occupied memory, the speed, and time of transactions are also improved by blockchain. In this research, several evaluation models have been designed for single-node and multi-node architectures on the blockchain platform. Finally, proof of architecture, possible threats to architecture, and defensive ways are explained. The most important advantages of the proposed scheme are the elimination of the single point of failure, maintaining trust between nodes, and ensuring the integrity of the model, and discovered logs.

Fog computing technology has emerged to respond to the need for modern IoT applications for low latency, high security, etc. On the other hand, the limitations of fog computing such as heterogeneity, distribution, and resource constraints make service management in this environment challenging. Intelligent service placement means placing application services on fog nodes to ensure their QoS and effective use of resources. Using communities to organize nodes for service placement is one of the approaches in this area, where communities are mainly created based on the connection density of nodes, and applications are placed based on a single-criteria prioritization approach. This leads to the creation of unbalanced communities and inefficient placement of applications. This paper presents a priority-based method for deploying applications in the fog environment. To this end, balanced communities are created and applications are placed in balanced communities based on a multi-criteria prioritization approach. This leads to optimal use of network capacities and increases in QoS. The simulation results show that the proposed method improves deadline by up to 22%, increases availability by about 12%, and increases resource utilization by up to 10%.

Today, modern logistics is moving towards the web-based services. Nowadays, e-commerce is growing rapidly in the digital economy and customers expect to be able to make purchases quickly and easily. This technology has evolved over the years and is still evolving, so that many businesses have decided to enter their business in this space. On the other side, the widespread growth of the Internet has created a wider platform, called the Internet of Things (IoT), which seeks to create a powerful infrastructure for collecting, processing and transmitting distributed information in the shortest possible time. The impact of the IoT on the payment industry and e-commerce is no secret, to both buyers and sellers. Although examining the technical aspects of the Internet of Things for the development of e-commerce is sometimes a vague issue and has not been fully clarified. In this regard and in order to achieve this goal, in this article we intend to examine the role of the IoT in the development of e-commerce functions and the technical aspects of the problem.

The Internet of Things is a novel and popular technology in which the ability to send data through communication networks, either the Internet or intranet, is provided. Connecting more devices to the Internet will lead to security threats, and providing security in the Internet of Things is recognized as a necessity and can be considered as one of the most important challenges of the Internet of Things. Cyber security has always been one of the concerns of the Internet of Things field. Cyber security of the Internet of Things is a specific part of the technology field that focuses on the protection of devices and networks connected to the Internet of Things and includes various equipment, including mechanical machines and He mentioned digital, computing devices, technologies such as artificial intelligence, etc. Also, security breaches and privacy violations are some of the major challenges in this field that sometimes prevent the widespread use of the Internet of Things. Therefore, according to the necessity of research in this article, we will examine some related attacks and solutions in the field of Internet of Things cyber security.

Fog computing has emerged as a promising technique to provide agile and pervasive computing services to the Internet of Things devices (IDs) and to support complicated IoT applications. Fog computing brings computation resources to the edge of the network, near to the IDs, and provides low-latency services to users. By offloading computational tasks to fog nodes having greater computing capacities, can address the contradiction between the limited battery capacity of IDs and high computational intensity demand of tasks. Hence, the quality of service (QoS) demands of users can be fulfilled. Although task offloading to fog nodes leads to saving in energy consumption in the battery of IDs, it causes to increase in task completion time due to occurred delay in transmitting the task to the edge of the network. In this paper, to balancing the trade-off between energy consumption and task completion time, a task offloading scheme is proposed. The main objective of the proposed scheme is to minimize offloading overhead in terms of the weighted sum of energy consumption and task completion time by optimizing offloading decision, the destination of offloading, and computation resource allocation. We employ fuzzy logic to determine the weighting coefficient effectively. Task offloading to fog nodes is formulated as a mixed-integer nonlinear programming (MINLP) problem, which is NP-hard. A sub-optimal algorithm based on genetic algorithm (GA) is proposed to solve the formulated problem. Extensive simulations prove the convergence of the proposed algorithm and its superior performance in comparison with some baseline schemes.

Artificial intelligence is a branch of the science of producing and studying machines that aim to stimulate human intelligence processes. The main goal of artificial intelligence is to optimize routine processes, improve their speed and efficiency. As a result, the number of functions and services that use artificial intelligence continues to increase worldwide. Today, artificial intelligence has entered the field of education and training and is rapidly replacing traditional methods with modern methods. In this article, we discuss the functions of artificial intelligence in the field of education and electronic knowledge transfer. Considering the increasing development of virtual education in today's world, artificial intelligence can play an effective role in the field of education and electronic knowledge transfer. Artificial intelligence as a powerful tool can be used to improve the quality of education, reduce costs and increase the speed of education. This technology allows students and teachers to provide the best solutions to improve the quality of teaching and learning through intelligent and data-based systems. With the use of artificial intelligence, virtual education can become an effective and affordable method. In general conclusion, it can be said that this technology is very useful in all stages of education, including lesson planning and design, content presentation, exercises and evaluation, and it will soon become an integral part of education.

The emerging technology of the Internet of Things provides the ability to send and receive data between different objects through communication networks and can be the source of tremendous changes in military equipment and enhancing the efficiency of defense departments. The command and control system is one of the most important areas of defense systems that can be transformed by Internet of Things technology. Command and control is the planning, guidance, coordination and control of the operations based on the effective operation of the operational scenario, so in order to achieve the best result, complete, accurate and timely information is essential. On the other hand, utilizing the Internet of Things technology allows the commanders to get the most accurate and accurate information about the battle scene in the shortest time. This research was conducted with the aim of examining the requirements for exploiting the Internet of Things technology in the command and control system.This study is a descriptive and qualitative descriptive in terms of the purpose of the applied type and in terms of descriptive and qualitative method, using content analysis method. The statistical population of the study was people who were expert and knowledgeable about cyber space and command and control issues, that 30 person of them were selected purposefully and a questionnaire was conducted about them.The results show that in order to use the Internet of Things in the command and control system, it should be in three layers of the program, reception, network and infrastructure, in order to upgrade and localize the software, use dynamic security patches, ensure the health of the microprocessors, provide security of the sensors, utilizing cryptography, providing network availability, matching protocols, network scalability, creating a Private cloud, providing physical protection and energy supply of sensors.

The Internet of Things is a growing infrastructure for connecting intelligent objects with the goal of increased control, automation and even data and information collection. The use of this technology in traditional businesses will have a significant impact on their automation. The applicable cases of Internet of Things in business and smartening of related processes are very wide and these applications expand every day with the addition of new smart devices and the increase of Internet of Things facilities. This issue causes digital transformation and major changes in businesses and changes their future. Activating business on the Internet of Things platform can put organizations at the forefront of new and evolving trends of optimal interaction with customers. According to the importance of the subject, the most important aspects of the digital evolution of smart businesses on the platform of the Internet of Things are examined in the rest of the article.