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

In order to use the Internet of Things as a secure infrastructure, there are various challenges and problems, of which security is one of the most important. Establishing security in such networks has many complications due to the limitation of various resources, including processing resources and low energy, and there is a need to establish a kind of compromise between security and available resources. These conditions have caused security to become an important challenge in these networks, and various methods have been presented to improve and optimize this challenge. Accordingly, in this article, a lightweight encryption solution based on symmetric and asymmetric encryption is presented to ensure data security on the Internet of Things. In the proposed method, first, the main data is encrypted by the symmetric Bluefish algorithm, and then its key is secured with the help of the elliptic curve encryption algorithm, so that as a result, data security can be ensured in a short time and with high security in infrastructures based on the Internet of Things provided. In the end, the proposed solution has been evaluated through the Eclipse simulator and by testing on the data volume of 20 to 1000 kilobytes. The simulation results show that the proposed method performs more optimally compared to other encryption algorithms in terms of evaluation criteria such as execution time and encryption and decryption throughput. These results indicate that the proposed solution, while establishing security, has had the least negative impact on the processing resources of IoT nodes.

The use of new technologies, especially artificial intelligence and the Internet of Things, changed the definition of a university in the 21st century towards a smart university. In the smart university, spaces are transformed into a safe, controlled and intelligent environment for learners using the Internet of Things and artificial intelligence. Considering the importance of making the university smart in line with other countries, the current research seeks to provide a model of a smart university based on the Internet of Things and artificial intelligence. The research method was qualitative and by using semi-structured interviews with experts, necessary information was collected and with the aim of extracting the elements and components of the model, this information was coded based on thematic analysis method. The statistical population of the research included 23 academic experts from the fields of educational technology, higher education management, information and communication technology, and artificial intelligence. Sampling was done in a targeted and snowball way. Delphi technique was used to validate the theme network. The research findings showed that the smart university model based on Internet of Things and artificial intelligence has 15 components and 70 sub-components.

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%.

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.

Nowadays, The Combination of Information Technology and Communication, artificial intelligence, Internet of Things (IoT), blockchain, and other new technologies has led to the emergence of the Fourth Industrial Revolution, which has brought about profound changes in human life. The Internet of Things has evolved from equipping devices around humans with sensors, actuators, advanced chips, and intelligent algorithms that connect to the Internet and communicate with other devices or humans independently. Due to independence of smart devices in the IoT, security is one of the most important issues in the IoT debate. IoT security mechanisms should not only address traditional security attacks, but should also provide secure connections for both machine-to-human and machine-to-machine communication. Authentication of Devices is one of the most important issues in IoT Security. Therefore, in this paper, a location-aware mutual authentication protocol is proposed for IoT systems. In this protocol, entities can authenticate each other and attain a shared secret session key. In the production of this key, the information of the devices, their location and the type of devices in terms of being fixed or mobile have been used. ،Then, this key is used to authenticate devices before sending information over wireless channels. To prove the correctness and lightness of the proposed protocol, Experiments were performed and the results show that adding the location parameter to the authentication protocol has increased the security strength of the protocol and communication and computing costs have not increased significantly.