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

In recent years, cloud computing has attracted much attention as a new computing model for providing infrastructure, platform, and software as a service. There is an important challenge in trust management between cloud providers, service providers, and service applicants due to the industry's rapid adaptation of cloud computing. Trust management has become very challenging in cloud computing since cloud service applicants need to choose effective, reliable, and low-risk services. One of the most important factors, which can be considered in the applicant's trust or distrust of service, is the various parameters of service. Therefore, it is necessary to use approaches to evaluate the trust of the cloud services considering their service quality parameters and their identified performance requirements. In this paper, a model is introduced to evaluate the trust for the cloud services using Bayesian network. Since the trust actually deals with probabilities, and the Bayesian network also uses probabilities to solve the problems, the Bayesian network can be used to assess the trust. The proposed method is compared with various data mining techniques to assess trust in cloud services. The results show that the accuracy, absolute error, root mean square error, and square error in the Bayesian network are 94/53, 0/037, 0/137, and 0/038, respectively. The proposed method is more efficient than different data mining techniques for trust assessment in cloud services.

Most applications of sensor nodes are in hazardous areas, inaccessible or hostile environments. Therefore, the need for security in these networks is essential. Trust methods are powerful tools for diagnosing unexpected behavior of nodes (malicious nodes or failure nodes). In this paper, we have  proposed TBSI trust model whose main features are low computational overhead, low energy consumption and confronting attacks in WSNs. This model is simulated and evaluated by NS-2 simulator and its behavior has been evaluated based on the results of these simulations. Examining practical results shows that energy consumption, routing overhead, and the time of death of nodes are reduced and the rate of packet delivery to the base station is increased. These desirable outcomes prove that using the method of trust to achieve a secure network is a good solution to solve security issues in wireless sensor networks.

Recently, cloud computing has become very popular. Due to this popularity, the number of cloud services’ features is increasing continuously. To find a reliable provider in the cloud environment and select the best resources in the heterogeneous infrastructures, trust plays an important role. Customers  distrust in cloud service providers is considered as a barrier to cloud service acceptance. This research develops a model for identifying invalid cloud service providers, in which validation is examined using cloud providers’ trust evaluation features. In this approach, in order to detect cloud providers, the neural network method with a robust hierarchical weight estimation is proposed; analytical hierarchical process is being used for its capability in finding and detecting optimal values. The simulation results indicate an   error rate of 0.055%, showing this method to be more accurate compared to the state-of-the-art methods.

Nowadays، in spite of the presence of defense mechanisms and verification methods، parts of the security vulnerabilities still remain in systems. Therefore، protecting systems against all malicious behaviors and security attacks is nearly impossible. If the required countermeasures are not employed against the impacts of malwares، they may lead to intrusion and the violation of system security policies. On the other hand، intrusion-tolerant systems are used to increase the security of systems and software. Considering the concept of trust among the entities can play an important role to increase the security in distributed environments such as Internet. However، like other security mechanisms، trust is vulnerable to malicious attacks. Therefore، devising methods against malicious behaviors are very important. In this paper، a trust­-based approach for tolerating software against intrusion with emphasis to the relativity of trust concept is presented. So that، the precision of trust values for users in the whole system is increased، such that these values are closed to real values. The goal of the proposed approach is to diminish the challenges of absolute trust in order to make systems resilient against malicious behaviors through detecting real and non-real ideas of users and balancing them. The simulation results show that the proposed approach does not allow intruders to increase trust values unfairly and it is resilient against malicious and destructive behaviors. Furthermore، the addition of relativity to trust concept and the detection of malicious users lead to the improvement of the recommended method، comparing to the existing methods.