سید امین حسینی سنو

The primary objective of mobile network operators is arguably to maximize their efficiency. Beyond operational and investment costs, maximizing the utilization of available resources can help them achieve this goal. To this end, operators offer discounted data plans during off-peak hours to encourage users to utilize the network during these times. These data plans are typically based on the average traffic load across the entire network at different times of the day. However, they often overlook the fact that traffic patterns can vary significantly across different population areas within a city at various times. In this paper, different population areas are automatically identified using clustering based on traffic patterns. By identifying these areas and considering the traffic patterns specific to each area, the allocation of appropriate data plans for users, based on the regions they frequent, is analyzed and discussed. Additionally, other potential applications of this clustering method for offering various services are presented, followed by a conclusion.

The Internet of Vehicles (IoV) is an emerging concept in Intelligent Transportation Systems (ITS) that aims to improve pedestrian and driver safety and traffic monitoring, But the IoV is vulnerable to various attacks. Therefore, security in the IoV is a serious issue because it directly affects the lives of the users. One of the most important attacks in the IoV is the Denial of Service (DoS) attack, which prevents access to the services of IoV and most importantly causes traffic and road accidents and the safety of users. endangers Therefore, a solution based on deep learning is proposed to detect DoS attacks in the IoV. The proposed model consists of a 10-layer convolutional neural network that can effectively detect different types of denial of service attacks. The performance of the proposed model is evaluated with real and new VDoS-LRS dataset. Experimental results show that the proposed intrusion detection system has reached a 100% accuracy rate.

Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. Separation of the control plane and the data plane has many benefits, such as more programmability of the control plane, the possibility of network virtualization, reduction of operating costs, greater independence of network equipment manufacturers, and so on. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. The task in the problem is to simultaneously find optimal number and location of controllers satisfying a set of routing and capacity constraints. In this paper, we suggest an effective solution method based on dynamic switches allocation. We, then compare our method to an existing standard mathematical programming solver on an extensive set of problem instances. It turns out that our suggested method is computationally much more effective and efficient over small to large instances.

This study addresses the security of information systems (ISS) as one of the most important issues in organizations and especially municipalities. Instead of exceptions, information security breaches have become a norm, and security of information systems can only be realized when employees completely accept this concept by changing their behavior in line with advanced information security systems. The model of this research is based on institutional theory. This two-way model has introduced organizational citizenship behavior (OCB) and counterproductive work behavior (CWB) in the process of verifying the security of the information system. This research also measures the impact of innovative culture on the information security system. The statistical population of the study consisted of Mashhad Municipal Information Technology experts and data collection tool was a questionnaire. The data support mainly the proposed research model and the results indicate the application of institutional theory in explaining the process of institutionalizing the changes in the security of the information system on the innovative culture of the organization, legitimizing and accepting those changes, and increasing organizational citizenship behavior (reduction of counterproductive work behavior) in employees Which, in the end, will increase the effectiveness of the security of the information system.

Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. The task in the problem is to simultaneously find optimal number and location of controllers satisfying a set of routing and capacity constraints. In this paper, we suggest an effective solution method based on the so-called Iterated Local Search (ILS) strategy. We then, compare our method to an existing standard mathematical programming solver on an extensive set of problem instances. It turns out that our suggested method is computationally much more effective and efficient over middle to large instances of the problem.

The number of elderly people who need help in their daily routines is increasing rapidly. Dementia is one of the most important causes of disability in elderly people and its outbreak has been a major burden on human societies. The purpose of this research was using intelligent home technology to monitor elderly behaviors, identify abnormal behaviors, and discover the initial signs of dementia before the onset of the disease. Early diagnosis of dementia at an early stage can lead to a high improvement in its treatment and delay the disease. In this applied, descriptive-analytic study, the abnormal behavior and early symptoms of dementia were identified using machine learning techniques.  The kmedoide algorithm was used to analyze abnormal behaviors and to assess the quality of sleep as the primary symptoms of dementia, the valid PSQI questionnaire was used. Matlab 2012 was used for implementation. The results in the abnormal behavioral section indicated that clustering algorithms have high efficacy in detecting abnormal behavior in smart home, and also results in early symptom examinations led to poor sleep recognition in the PSQI as a primary symptom of dementia. The behavior of the elderly, their abnormal behavior and early signs of diseases such as dementia can be recognized using the technology of the system under the supervision of the smart home.

The appearance of social networks has been one of the most important events in recent decades. One of the issues raised in these networks, is how to trust. The purpose of this paper is to examine the impact of security, trust and privacy about information sharing on mobile social networks. The study also describes how users' gender moderates the privacy and security impact on trust. The current research is a descriptive-survey. In this research, Data from 190 social network users were gathered through a questionnaire designed in the form of a Telegram bot and examined using structural equation modeling techniques. Also, regarding to measure validity, convergent validity and divergent validity. And in order to fit reliability, Cronbach's alpha and composite reliability have been used. Analysis of the findings of the study shows that the security and privacy have a direct impact on users' trust. The findings also show that perceived security acts as a mediator between privacy and trust. The results show that trust has a significant impact on information sharing behavior and the impact of privacy and security on trust is stronger for men. In addition, the impact of trust on the desire to give information is more than desire to get information. In this study, a considerable effect between desire to get information and information sharing wasn't observed.

Wireless sensor networks (WSN) is presented solution for the problem of low-cost and flexible monitoring event, especially in places with limited access or dangerous for humans. Wireless sensor networks are built from wireless devices with limited resources thus to Long-Term survival of the Network must use energy-efficient mechanisms, algorithms and protocols. one of the mechanisms controlling the topology (TC), which is composed of two parts, a topology construction and topology maintenance.This paper introduces the new algorithm for energy aware topology construction based on connected dominating set, namely, algorithm EA-CDS, wich is a simple mechanism to build the distributed, energy-efficient topology, that finds optimal connected subset and removes unnecessary nodes with minimum power consumption while the network remains connected and coverage is complete.also ,to maintain network connectivity and unfailing the nodes energy that are constantly located at sending packets path along with it , the DGTERec topology maintenance algorithm is used to balance energy consumption in nodes .Evaluation results show that the EA-CDS protocol for increasing the useful lifetime of the network (Postponing the first node death) and the number of messages sent over the same two protocols (EECDS and CDS-RULE-K) has obvious advantages.
To ensure that the results of Atarraya are acceptable,The performance of the proposed method is evaluated with MATLAB and output results analysis, confirmed the results of the ATARRAYA simulator.

Experts have increasingly noticed the necessity of aligning marketing information security policy with strategic information systems plan to enhance the utilization of information assets. Therefore, this study aimed to provide a model to explain the dimensions and components of aligning the marketing information security policy with strategic information systems plan. In this regard, dimensions and components of the alignment were extracted using the documents, libraries and previous literature and then a conceptual model was obtained using the Delphi technique. The model included following dimensions: management and governance, participation, information, information technology architecture, and communication, each with 13, 6, 10, 4, and 6 components, respectively. Using the DEMATEL method, the causal relationships between the dimensions of the alignment model were studied. The results showed that the management and governance, IT architecture and participation are the cause dimensions and the communication and information are the effect dimensions. Finally, using confirmatory factor analysis, the model was tested and some suggestions were presented to enhance the degree of the alignment of marketing information security policy with strategic information systems plan.