vahid yadegari

The development of internet of things and complementary technologies such as artificial intelligence in various fields such as health, smart home and… is widely used. The development of smart places using the technology of smart houses based on the internet of things uses communication platforms and programmable sensors in order to make intelligent and integrate different parts of a building and its aim is reducing energy consumption, effective use of resources, high security and a comfortable lifestyle. This important thing, along with creating many benefits, for various reasons such as password vulnerabilities, failure to update devices, poor configuration of software and communication layers, weak protocols and so on, always leads to an increase in the threats of internet of things systems. In this research, considering the mentioned security problems, especially in armed forces locations, what is the answer to the question of the security evaluation framework of internet of things in smart locations of the armed forces? It was investigated and analyzed by using the mapping of international valid standards and frameworks and expert theory. The survey results show that respectively, the components of weak passwords (91.2%), insecure network services (89.3%), insufficient privacy protection (88.1%), lack of secure update mechanisms (87%), insecure data transfer and storage (86.3%), lack of device management (83.9%), and insecure ecosystem interfaces (79.3%) are prioritized in the security assessment of the armed forces' smart locations.

Threats and hybrid wars are among the concepts that have become frequent in the new era. In order to achieve their strategic goals, actors of hybrid threats use a wide range of methods from cyber attacks, political propaganda, strengthening discontent and community building, political orientation, subversion, sabotage, economic blackmail, recruitment, networking, etc. in order to realize their plans. They are especially used in the field of armed forces. In response to mixed and dynamic threats, the aim of this research is to provide a model of alertness and intelligence of Faraja employees against threats.

The research method is mixed and applied. In the qualitative stage, by analyzing the content of articles and documents through MAXQDA software, the themes of alertness and intelligence of employees are identified, in the next stage, the reliability of the researcher-made questionnaire is calculated based on the content analysis, and in the final stage, the questionnaire is distributed and then From factor loading calculation and Friedman's test, the result has been evaluated with the CMMI maturity model.

The results of the qualitative phase were identified in the three main groups of emotional intelligence, intelligence quotient and emerging technologies such as artificial intelligence. In the quantitative phase, the reliability coefficient was 92%, and in the descriptive statistics phase, the maturity level of the calculated indicators was determined in the interaction of humans with technology for alertness and intelligence (with 40.3%), organizational cognitive sciences in alertness and intelligence (with 48.5%), Individual cognitive sciences in alertness and intelligence (with 48.2%) and are in the second level of the CMMI maturity model, i.e. the organized level.

With the increase in the Internet's penetration rate in life and the use of this technology in all aspects, the use of mobile phones has increased as well. This, in addition to creating many benefits, has expanded and accelerated the release of some malicious programs called malware. In this study, it is attempted to use a multilayer neural network and learning machine diagnosis of zero daytime malware on smartphones. For this purpose, the standard database has been labeled with more than 15,000 samples of malware and goodware. In the pre -processing phase, the data is first performed using normalization and alignment of the data and by analyzing the main components of the feature of the selection of the feature and selected from 1183 features 215 features that have higher variances, followed by the model. A suggestion is introduced from the multilayer neural network class and the optimization algorithm based on the training and learning that apply it to the databases and compare its classification results with vector algorithms, genetic algorithm, nearest neighbor. And ... it can be seen that the neural network training increases accuracy and accuracy. The results of the use of multilayer neural network based on education and learning indicate 99% accuracy and 98% accuracy.

Along with the digital evolution and the emergence of new technologies such as the Internet of Things, some factors such as expansion, agility and management of infrastructure and communication networks has also developed alongside with software, service orientation, open source and virtualization approaches, so that the development of Software Defined Networks (SDN) has become one of the main pillars of the digital transformation journey of telecom companies. In this study, we have evaluated the readiness of applying software-based networks in the digital transformation journey of Iranian telecom companies. The data of this research has been provided through a questionnaire from 54 experts in digital telecom transformation in Iran in 2021. As for the research methodology, Confirmatory factor analysis, one-sample Wilcoxon test and Friedman test were used to test the research hypotheses. The results show that the existing concerns are mostly in the fields of security, suppliers and experts, but there is a positive trend in accepting software-based networks. Also, the findings of this study indicates that the attention to the benefits of software-based networks in the telecom industry (5/99) is in the first priority and the main factors of applying this technology (5/97), business impacts (4/56) and barriers to acceptance (4/5) come next.

According to the UN Sustainable Development Document 2030, urban sustainable management and development are two vital factors in the realization of qualitative life for the people that governments must commit to. Equal to target no. 11 of the document's 17 objectives, providing and managing access to secure, affordable, accessible and sustainable transfer systems for all is one of the key issues. Undoubtedly, the realization of this goal, due to the experience of leading countries, requires a serious change and attention to new and emerging technologies such as IoT in the management of transportation and traffic. The aim of this study was to prioritize the internet applications of objects in Iran's transportation and traffic sectors to achieve sustainable development.

The research method is applied in terms of purpose and is descriptive in terms of data collection tools and according to the research method (fuzzy analytical hierarchy process) among descriptive researches is a single-sectional survey. After collecting contingent paired comparison matrices, weighted indices were assigned and priority of applications of IoT technology was determined.

Based on the findings of this study, economical and quality of life quality indicators have the most importance for sustainable development of internet of objects in Iran's transportation sector, respectively. Also, the most important priorities in Iran for using IoT technology in transportation and traffic management were point management applications (0.01), axis management (0.08), parking management (0.11), accident management (0.11), pollutant refining (0.29) and network monitoring (0.30).

The results of the studies and quantitative data analysis indicate the direct role of IoT in the field of transportation management and traffic management and achieving sustainable development and creating innovative approaches in traffic management and transportation of Iran using maximum and targeted use of emerging technologies that have been less considered. The innovation of this research is to explain the position of emerging IoT technology and prioritize its use for attention and planning of traffic police managers and other related areas.

 in the new management paradigm, topics such as integration, interaction, participation, cohesion and unity are repeated and highlighted with high frequency and are also paid attention to in jurisprudential, religious, Qur'anic and governance issues of the Islamic systems. This paper aims to explain this issue from the perspective of the Islamic system and considering the contents of the 4 groups of unity and integration in the Qur'an, unity and integration in the narrations with the focus on Nahj-al-Balaghe, unity from the perspective of Imam Khomeini and Imam Khamenei and the integration from the perspective of cyberspace with an Islamic system approach has been written.

the method of this research is qualitative, which has been done through the method of content analysis with the focus on the verses of the lHoly Quran, narrations and statements of the supreme leader (Imam Khamenei), and has presented strategies based on cyberspace.

the result of the research states that the unity, solidarity, integration and neutralization of deception and mobilization of the enemy are among the priority issues of the religion of Islam, which should be strengthened in accordance with the tools and capacities of the day, such as useful and powerful use of cyberspace.

The research is based on the increasing spread of disruptions to Web services, known as "denial-of-service", and the need for police investigation of crime. In accordance with paragraph 9 of the Iranian Cyber ​​Crime Act, any measure that disrupts or interrupts the operation of computer and telecommunication systems is an example of cybercrime, and it is necessary for judicial remedies, by documenting and analyzing evidence, to justify the offense to the reference Judiciary. The purpose of the research is to find out the optimal methods of collecting, analyzing, reviewing and ultimately discovering the evidence of crime leading to disturbing web activities (denial of service attacks).

The study of library documents and studies of other researches, attempts to identify the methods used and provide an optimal method. For this purpose, after creating artificial traffic on a website (website) in the laboratory environment, different methods of classification in the field of machine learning were evaluated. Ultimately, due to the quality and accuracy of the various algorithms, the combination of the Bayesian and entropy algorithm was selected.
Findings and

In this research, the proposed model was compared to the standard data set (EPA-HTTP); its implementation and its results were compared with other methods, which indicates better performance.

Among the important challenges in reading the car number plate are inappropriate
conditions such as the presence of spots or dirt on the plaque, plaque crown and nail
pliers which makes it difficult to read the car number plate. binarization is one of the
most important steps in reading a car number plate and the quality of it can have
strong impact on the whole car number plate recognition process. Many of the errors
found in readings in car number plate are because of mistakes in binarization
process. Although, several threshold detection has been presented, all of them are
not feasible for binarization of car number plates with defacing. In this article, the
authors tried to present a compound procedure based on otsu and niblack which are proper ways for binarization to have high quality binary image. The
presented method has been tested on 100 photos which has been taken by a 3.15
Megapixel camera with 2048*1536-pixel resolution and Finally, the quality of the
images of the existing methods and the proposed method is evaluated qualitatively

strategic reports from major telecommunications and Internetcompanies in World show that until 2020, there will be 50 milliard devices connected to the internet and 15 milliard of this amount mobile devices and tablets of this amount will constitute that enable users to be Online access to movies and video clips. Another part of these statistics indicate that mobile networks broadband will cover ninety percent( 90% ) the totalworld's population by the end of this decade. Everyone in every time and place have been covered by internet cover and establishment of virtual society and will remove temporal and geographical limitations that humankind be involvedwith them and cause to many changes completely dissimilar with current situation in areas of social, economic, cultural, educational, trade and security. Virtual society started with basiccommunication elements at the beginningand after the web 1 or content-basedWeb that its instances are radio, television, Internet, printers, e-mail and search engines and its audience is passive; now have advanced to active audience of web 2 means communicative-based web that including web 2.0, podcasts, weblog, wiki, social commerce, social network and mobile community and in future will be web3 or integration fieldWeb, web 4 or connect objects web and finallywill be web 5 orthoughts developmentWebuntil 2020. But what is our relation, with these changes in technology area, audience and society? Undoubtedly, one of the topics of interest for security and disciplinary (law enforcement) agencies, in this metamorphosis movementis directingshape and content changing of traditional crimes to evolved (combination of virtual and traditional) and new crime (only cyber) and appear phenomenon of cybercrimeWhich is developing currently with social, political, financial, security and paramilitary security approaches. In this study have examined the present and future situation of virtual space and moreover haveanalyzed its fields in occurring cybercrime against NAJA̒s staff with futures studies approach.