Abstract Nowadays, high level security maintenance between the two companies is the significant issue when they are communicating between them. However, the goal of achieving complete secure communication between those companies communicating over the internet with various networks is still lacked by the following factors such as misuses and intrusions. Thus, the Intrusion Detection Systems are very important components to detect these types of... Nowadays, high level security maintenance between the two companies is the significant issue when they are communicating between them. However, the goal of achieving complete secure communication between those companies communicating over the internet with various networks is still lacked by the following factors such as misuses and intrusions. Thus, the Intrusion Detection Systems are very important components to detect these types of attacks. There are various approaches being utilized to these intrusion detections, but any of the systems so far is not completely flawless. The proposed framework utilized novel methods such as time probability based pattern detection method and Hyperbolic Hopfield Neural Network for detect the intrusion from the real time network datasets. The experimental results shows our proposed framework is obtained better results rather than other frameworks. Read More Read Less

Abstract In this paper, we design the attribute system based on the “Regulations on the Disclosure of Government Information” and relevant policies. Then we score the proactive information disclosure websites according to the displaying factors, and finally we use the entropy method to calculate the weight of each attribute and the evaluation value of each website to assess the ability of their proactive information... In this paper, we design the attribute system based on the “Regulations on the Disclosure of Government Information” and relevant policies. Then we score the proactive information disclosure websites according to the displaying factors, and finally we use the entropy method to calculate the weight of each attribute and the evaluation value of each website to assess the ability of their proactive information disclosure, moreover, we use the fuzzy measure to define an index showing the balance of the development degree. In the case analysis, we select a certain province composed of 15 cities in the eastern part of China as the empirical study. The empirical study shows that the entropy method is meaningful and practical for the evaluation of proactive disclosure of government information in its infancy. Read More Read Less

Abstract User behavior analysis is important for both Web information retrieval technologies and commercial search engine algorithms. With the expansion of information data, the current search engine is facing some serious problems, such as limited storage space and computing power. The paper discussed the shortcomings and technical bottlenecks of the current traditional search engine. Then, in the understanding of search engine features and technical... User behavior analysis is important for both Web information retrieval technologies and commercial search engine algorithms. With the expansion of information data, the current search engine is facing some serious problems, such as limited storage space and computing power. The paper discussed the shortcomings and technical bottlenecks of the current traditional search engine. Then, in the understanding of search engine features and technical requirement, it improved the system by means of the cloud computing architecture. With the combination of the static analysis of user behaviour and real-time monitoring, real-time acquisition of Web log and user to access the context information of the page, the paper tested the whole system performance in the laboratory environment, demonstrated the superiority of the system by analysis of experimental data. Read More Read Less