جستجوی مقالات مرتبط با کلیدواژه « Control » در نشریات گروه « پدافند غیرعامل »

Facilitating crisis management is one of the five functions and one of the main goals of passive defense, in this regard, observing and monitoring threats and creating and maintaining readiness to face the crisis and its management by using the intelligent command and control system are considered essential to accomplish this. In order to have the information of the operation scene (situational awareness) which use the command and control system for its management, the information of the operational environment of that situation is necessary. The most important    expectation from the command and control system is timely response to crises, minimizing mistakes and obtaining necessary information in order to prevent financial losses and human casualties. Considering the variety of threat areas and the measures corresponding to them in  passive defense, the threats that actually lead to the occurrence of incidents and accidents will  result in crises at different levels, which the management of these crises in order to reduce the   vulnerability and loss of assets and the continuity of activities and Improving resilience is of particular importance.The current research is of an applied type, descriptive method, with a mixed approach and the use of the library method (with a survey tool) and field method (with an  interview tool and questionnaire), with the aim; The investigation of the performance of the passive defense command and control system in the management of the crisis caused by the enemy's threats has been done, seeking to answer the (main) question of the research that; What will be the role of this system in crisis management? The statistical population of experts was  determined to be 80 people and the sample size was 65 people to distribute the questionnaire.  During the research process, the role and performance of the system was discussed using the    hypothetical model, and finally, suggestions were made regarding the use of the research model in crisis management.

he control and guidance ability of unmanned aerial vehicles (UAVs), as one of the modern tools of aerospace systemstechnology, has become an important priority in the air defense field of any country. In this paper, a group of the networked UAVs is considered that follow closely the specifiedobjectives.During the mission,the UAVs communicate with each other and exchange important information such as their velocities and positions with other agents in the network. Therefore, the controller is designed as a distributed approach. Due to the networked nature of this system, to reduce the computational load, the distributed optimization algorithm and model predictive control method are utilized to implement the network structure. In the following, many challenges such as keeping the desired arrangement, communication delay and optimal energy consumption are raised during the operation to reach the mission purpose. It is necessary that the designed controller holds the appropriate performance in the presence of the aforementioned challenges. Finally, simulations are carried out in the MATLAB software for investigating the performance of the proposed approach. The achieved results, despite the mentioned challenges in the networked systems, indicate a higher rate of convergence and a better ability to delay tolerance compared to the previous methods.

It is an imperative necessity to take care of the country's space and air traffic. Usually radar systems will be used to control and discover possible targets. The received information from a radar system in a specific region must be sent online to the higher levels of command and control centers in order to detect possible threats and make appropriate decisions. This exchange of information requires a reliable communication backbone. However, having an online and secure transceiver communication backbone is still a demanding process. Moreover, errors in the current communication networks will cause an increasing percentage of packet loss and delay which affect the Quality of Service (QoS). In this paper, in order to handle these problems and increase the fault tolerance in command and control networks, a backup path is provided that uses the backup path in case of occurring faults in the main path. In addition, Software Defined networks (SDN) as a new architecture have been used in communication networks to provide desirable QoS. In the proposed method, the fault tolerance problem is modeled as a linear programming problem, which is solved through a combinational method of Genetic Algorithm and Fuzzy System. This solution creates an optimal response to dynamic changes and uncertainty accomplished in the communication network. The results of the performance evaluation showed that the proposed method achieves better fault tolerance compared to existing methods.

Although existing Planning methods can plan under uncertainty and decentralize situation, most of them malfunction in some complicated conditions of command and control scenarios such as real time decision making, needing more accurate planning, bounded communication between agents, dynamic worlds and partially observable environments. Among suitable models for these situations, extended models of DEC-POMDPs such as MAOP-COMM can be considered for handing these conditions. It is possible to improve MAOP-COMM model to do planning for agents with double precision. In this paper, the algorithm of MAOP-COMM model has been improved by upgrading value function heuristic and using "two steps look ahead" in the strategy of finding best policy and making correct decision. In the next step, the improved method was implemented in a web service frame work. The web service gets the desired bounded scenario from the architect and performs online planning to generate plans and sequence of actions regarding to environment dynamicity. The obtained results, show preference of the improved algorithm, So that the designed service with improved algorithm can perform online planning for agents in a decentralized multi-agent system in uncertain condition with better performance and high percent of correct decision making.

A BotNet is a collection of Bots that are run separately on infected Computers and respond to commands sent from command and control unit. Nowadays, BotNets are a major challenge in cyberspace . New species of this family of malware abuses the popular social networking sites as command and control channels. In this way, the usual protective systems such as IDS will not be able to identify and deal with BotNets, because the network traffic generated by BotNets is similar to the user traffic system. In this paper, a new method is presented to detect, intercept and deal with BotNets based social networks. In this method, BotNet detection is done based on the system resource monitoring. After tracing, the proposed method intercepts with the BotNet. This interception includes preventing from the command and control server. the proposed method can detect nearly 96% of BotNets and can caus the system to discover 100% of BotNets successfully.

Botnet is one of the important but little-known dangers on the Internet. Botnets are networks of compromised computers that are controlled through a command-and-control channels for destructive attacks in the vast expanses. Botnets are often used for malicious activities such as distributed denial of service attacks. To deal with these type of attack is required to study and examine the structure, properties and behavior of botnet traffic. Therefore, identification of the main characteristics of botnets and monitoring the flows of botnet will be effective in creating and developing technologies to deal with this potential security risk. In this work, are reviewed botnets and their life cycle and types of topologies and protocols they use and documented the behaviors and characteristics of botnet traffic with implementation a network of botnet-infected And provide a network flow analysis system. Find these features to provide solutions to detect and deal with botnet-based attacks will be effective.