Biblio

With the development of the information age, the process of global networking continues to deepen, and the cyberspace security has become an important support for today’s social functions and social activities. Web applications which have many security risks are the most direct interactive way in the process of the Internet activities. That is why the web applications face a large number of network attacks. Interpretive dynamic programming languages are easy to lean and convenient to use, they are widely used in the development of cross-platform web systems. As well as benefit from these advantages, the web system based on those languages is hard to detect errors and maintain the complex system logic, increasing the risk of system vulnerability and cyber threats. The attack defense of systems based on interpretive dynamic programming languages is widely concerned by researchers. Since the advance of endogenous security technologies, there are breakthroughs on the research of web system security. Compared with traditional security defense technologies, these technologies protect the system with their uncertainty, randomness and dynamism. Based on several common network attacks, the traditional system security defense technology and endogenous security technology of web application based on interpretive dynamic languages are surveyed and compared in this paper. Furthermore, the possible research directions of those technologies are discussed.

With the development of society, people have higher and higher requirements for the quality of life, and the management of legal cases has become more and more important. In this case, the research on how to realize electronization and networking has become the inevitable demand of the current information age. Therefore, this paper designs and develops the legal case management information system based on J2EE. Firstly, this paper introduces the related technologies of J2EE, then expounds the importance of legal case management informatization, and designs the legal case management information system according to the technical framework of J2EE. Finally, the performance of the system is tested. The test results show that the load capacity of the system is strong, the response time is 2–4 seconds, the resource utilization is relatively low, and the number of concurrent users is maintained at about 150. These show that the performance of the system fully meets the needs of legal case information management.

In recent years, the “whole chain” development level of China's intellectual property creation, protection and application has been greatly improved. At the same time, cloud computing technology is booming, and intellectual property data distributed platforms based on cloud storage are emerging one after another. Firstly, this paper introduces the domestic intellectual property cloud platform services from the perspectives of government, state-owned enterprises and private enterprises; Secondly, four typical distributed platforms provided by commercial resources are selected to summarize the problems faced by the operation mode of domestic intellectual property services; Then, it compares and discusses the functions and service modes of domestic intellectual property distributed platform, and takes TSITE IP as an example, puts forward the design and construction strategies of intellectual property protection, intellectual property operation service distributed platform and operation service mode under the background of information age. Finally, according to the development of contemporary information technology, this paper puts forward challenges and development direction for the future development of intellectual property platform.

Asymmetric warfare and anti-terrorist war have become a new style of military struggle in the new century, which will inevitably have an important impact on the military economy of various countries and catalyze the innovation climax of military logistics theory and practice. The war in the information age is the confrontation between systems, and “comprehensive integration” is not only the idea of information war ability construction, but also the idea of deterrence ability construction in the information age. Looking at the local wars under the conditions of modern informationization, it is not difficult to see that the status and role of light weapons and equipment have not decreased, on the contrary, higher demands have been put forward for their combat performance. From a forward-looking perspective, based on our army's preparation and logistics support for future asymmetric operations and anti-terrorist military struggle, this strategic issue is discussed in depth.

With big data and artificial intelligence, we conduct the research of the buyers' identification and involvement, and their investments such as time, experience and consultation in various channels are analyzed and iterated. We establish a set of AI channel governance system with the functions of members' behavior monitoring, transaction clearing and deterrence; Through the system, the horizontal spillover effect of their behavior is controlled. Thus, their unfair perception can be effectively reduced and the channel performance can be improved as well.

In this information age, web crawling on the internet is a prime source for data collection. And with the surface web already being dominated by giants like Google and Microsoft, much attention has been on the Dark Web. While research on crawling approaches is generally available, a considerable gap is present for URL extraction on the dark web. With most literature using the regular expressions methodology or built-in parsers, the problem with these methods is the higher number of false positives generated with the Dark Web, which makes the crawler less efficient. This paper proposes the dedicated parsers methodology for extracting URLs from the dark web, which when compared proves to be better than the regular expression methodology. Factors that make link harvesting on the Dark Web a challenge are discussed in the paper.

How to prevent the computer system from being interfered by external factors and maintain a strong working state is a problem that needs to be solved at present. At present, encryption and network security defense systems are important technical means of security defense. Based on this research background, the paper proposes an AES data encryption scheme in the Hadoop big data environment. The AES algorithm performs several rounds of plaintext encryption through the steps of round key addition, byte replacement, row displacement, column confusion, etc. Under the MapReduce architecture, the plaintext data is divided into multiple data fragments. The Map function is responsible for the AES algorithm encryption operation, and the Reduce function Combine encrypted data information. Finally, the paper designs a computer network security defense system that can actively discover the security threats in the network and effectively prevent them, so as to ensure the normal and safe operation of the network. At the same time, we use the encryption algorithm on the computer network security defense system. Experimental research has proved that this method can safely transmit network data packets. With the increase of computing cluster nodes, its encryption transmission efficiency continues to improve. This solution not only solves the problem of computer network data security encryption, but also realizes the parallel transmission of encrypted data in the information age.

In the information age, computer network technology has covered different areas of social life and involved various fields, and artificial intelligence, as an emerging technology with a very rapid development momentum in recent years, is important in promoting the development of computer network systems. This article explains the concept of artificial intelligence technology, describes the problems faced by computer networks, further analyses the advantages of artificial intelligence and the inevitability of application in network technology, and then studies the application of artificial intelligence in computer network technology.

Computer virus detection technology is an important basic security technology in the information age. The current detection technology has a high success rate for the detection of known viruses and known virus infection technologies, but the development of detection technology often lags behind the development of computer virus infection technology. Under Windows system, there are many kinds of file viruses, which change rapidly, and pose a continuous security threat to users. The research of new file virus infection technology can provide help for the development of virus detection technology. In this paper, a new virus infection technology based on dynamic binary analysis is proposed to execute file virus infection. Using the new virus infection technology, the infected executable file can be detected in the experimental environment. At the same time, this paper discusses the detection method of new virus infection technology. We hope to provide help for the development of virus detection technology from the perspective of virus design.