نشریه فرماندهی و کنترل
سال دوم شماره 2 (پیاپی 4، تابستان 1397)

The internet of things (IoT) concept forms the real digital world in which all objects and things are connected to each other. This new concept has made major changes in almost all existing applications. The smart health (e-health) domain is one of the most widely used IoT subcategories that bring new medical and healthcare facilities and services. In addition to increasing the use of the IoT and its various sub-domains, security and privacy concerns and problems have also grown dramatically and have become the first dilemma of implementing the final concept of the IoT. Though so far, much has been done to maintain the security and privacy of the IoT and sub-domains, but there is not yet a complete and efficient security and privacy framework that can meet various security features. In this paper, we try at the first to evaluate a new security and privacy framework for the e-health domain that has been recently introduced and then, propose a new more complete framework that first preserves the privacy of the patient's identity and the content of his/her records, and second, covers more security features. We also propose a new authentication scheme for privacy preserving of patient's identity. The proposed scheme is an efficient-lightweight scheme and satisfies all the security features.

The goal of high-level data fusion is the perception of the elements in the environment, the comprehension of their meaning, and the projection of future status before decision making. There are many kinds of uncertainty involved in data fusion systems. Consequently, it is important to have consistent and principled techniques to manage uncertainty. Bayesian Networks (BNs) have been successfully applied to create probabilistic representations of uncertain knowledge in diverse fields. Moreover, Multi Entity Bayesian Networks (MEBNs) extend the propositional expressiveness of BNs to achieve the representational power of first-order logic. In this paper the use of MEBN for handling uncertainty in high-level data fusion is examined, and further explanations are mentioned through a case study on fusing reports from various sources to identify type of military vehicle.

Today, development of social networks and its popularity resulted in the creation of large amounts of data and content of their users. Analyzing the content produced by users can be very effective in achieving economic, political, cultural, social, and defense goals. Nowadays, many aspects of human life are affected by the influence of social networks on the Internet. Social networks have given rise to numerous threats and problems against their users, in addition to creating opportunities that have not existed before. Thus, in security reasons, sentiment analysis or opinion mining in social networks is significant. In this paper, we proposed a novel sentiment analysis model based on the bag-of-concepts approach as well as commonsense knowledge. First, a method was proposed for understanding ambiguous sentiment concepts, and then a method was provided to disambiguate the polarities with the help of bag-of-concepts and its links with other concepts. The polarity of ambiguous concepts was more accurately detected when we took into account the positive and negative context vectors and the relations to the concepts in the Semantic Knowledge Base. Finally, the proposed model was evaluated by applying it on the review corpus, and the experimental results showed the effectiveness of the proposed model.

The aim of this study was to identify and analyze the factors affecting the performance of integrated network of command and control for overall understanding, explanation, forecasting and efficiency improvement in the integrated network of command and control. The statistical population consisted of 100 expert staff (randomly selected) from Khatam-ol-anbiya Air Defense Base. In this research, 44 indicators were detected exploratively, validity of the questionnaire was verified by the professors and reliability was calculated by Cronbach's alpha of 0.85. Then, by factor analysis, factors were reduced to 16 items and classified into 4 hidden factors, and then ranking of variables was done by Friedman test. It was showed that the integrated operation of command and control network from various factors such as agility, network security, practice and repetition, interactions between systems and systems, status awareness, battle scene simulation, reaction steps, inertial defense systems, doctrine and successful experiences, Common language, system intelligence, power at the edge, network-eccentricity, large-scale data systems, stability and durability, rebuilding and re-structuring structures. In terms of application, data collection, observation method, interviews, questionnaires and documents the current study is based on philosophical foundations in the scope of verifiable paradigm.

With the advancement of technology progress, every time the number, diversity and quality of information ranging from conflict spaces, military, security and crisis are added. Ontology is the perfect tool for modeling knowledge in a domain that what is going on is modeleded in terms of concepts, characteristics, concepts, principles and rules governing the relations between them. The potential of Ontology modeling in comparison with other methods is higher. To reduce the effort for domain modeling, the upper ontology created. This ontology has very high level of abstraction. The benefits of upper ontology are: demystify and understand the meaning of concepts and relationships in domain ontology, to compare it with other ontologies, possibility of mapping between ontologies, composition and translation from one ontology to the other, creating a common language across domains for example crisis management and joint operations situations. In this study, different upper ontologies investigated and the strengths and weaknesses extracted, then different criteria to assess the upper ontologies and the comparison between them are described. Based on this comparison, the important criteria in the selection of upper ontology for developing indigenous ontology for military, security and crisis management domains are made and conclusions are drawn.

The capabilities of air defense systems require that they always operate under an integrated, robust, and "survival" command and control network. Survivability is one of the most important features of air defense systems, especially command and control systems. Survivability expresses the durability, endurance, and survival of the system on the battlefield. Survivability is affected by three factors: susceptibility, vulnerability and recoverability. In this research, the survivability of the air defense command and control network has been studied and a solution has been proposed to promote it. The research is applied and developmental and its method is descriptive with mixed approach. To collect data, library studies and field studies have been used by using a questionnaire. The statistical population of this study was 120 people, sample size 92 and purposeful sampling has been used. Cronbach's alpha coefficient was used to measure the reliability of the questionnaire. For data analysis, linear regression test was used by SPSS software. Fischer and T-Student tests have been used to assess the accuracy of the coefficients of the line equation. The results of the research shows that, although decentralization approach in command and control and implementation is used as a common method in most air defense command and control networks, nonetheless this approach challenges the survivability of air defense command and control networks despite advanced air threats. Instead decentralization in command and control and implementation is the only approach that can reduce the susceptibility and vulnerability and improve the recoverability of air defense command and control networks and ensure the durability and survivability of other air defense systems.